[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"similar-girls-in-ai--Girls-In-AI":3,"tool-girls-in-ai--Girls-In-AI":61},[4,18,28,37,45,53],{"id":5,"name":6,"github_repo":7,"description_zh":8,"stars":9,"difficulty_score":10,"last_commit_at":11,"category_tags":12,"status":17},4358,"openclaw","openclaw\u002Fopenclaw","OpenClaw 是一款专为个人打造的本地化 AI 助手，旨在让你在自己的设备上拥有完全可控的智能伙伴。它打破了传统 AI 助手局限于特定网页或应用的束缚，能够直接接入你日常使用的各类通讯渠道，包括微信、WhatsApp、Telegram、Discord、iMessage 等数十种平台。无论你在哪个聊天软件中发送消息，OpenClaw 都能即时响应，甚至支持在 macOS、iOS 和 Android 设备上进行语音交互，并提供实时的画布渲染功能供你操控。\n\n这款工具主要解决了用户对数据隐私、响应速度以及“始终在线”体验的需求。通过将 AI 部署在本地，用户无需依赖云端服务即可享受快速、私密的智能辅助，真正实现了“你的数据，你做主”。其独特的技术亮点在于强大的网关架构，将控制平面与核心助手分离，确保跨平台通信的流畅性与扩展性。\n\nOpenClaw 非常适合希望构建个性化工作流的技术爱好者、开发者，以及注重隐私保护且不愿被单一生态绑定的普通用户。只要具备基础的终端操作能力（支持 macOS、Linux 及 Windows WSL2），即可通过简单的命令行引导完成部署。如果你渴望拥有一个懂你",349277,3,"2026-04-06T06:32:30",[13,14,15,16],"Agent","开发框架","图像","数据工具","ready",{"id":19,"name":20,"github_repo":21,"description_zh":22,"stars":23,"difficulty_score":24,"last_commit_at":25,"category_tags":26,"status":17},9989,"n8n","n8n-io\u002Fn8n","n8n 是一款面向技术团队的公平代码（fair-code）工作流自动化平台，旨在让用户在享受低代码快速构建便利的同时，保留编写自定义代码的灵活性。它主要解决了传统自动化工具要么过于封闭难以扩展、要么完全依赖手写代码效率低下的痛点，帮助用户轻松连接 400 多种应用与服务，实现复杂业务流程的自动化。\n\nn8n 特别适合开发者、工程师以及具备一定技术背景的业务人员使用。其核心亮点在于“按需编码”：既可以通过直观的可视化界面拖拽节点搭建流程，也能随时插入 JavaScript 或 Python 代码、调用 npm 包来处理复杂逻辑。此外，n8n 原生集成了基于 LangChain 的 AI 能力，支持用户利用自有数据和模型构建智能体工作流。在部署方面，n8n 提供极高的自由度，支持完全自托管以保障数据隐私和控制权，也提供云端服务选项。凭借活跃的社区生态和数百个现成模板，n8n 让构建强大且可控的自动化系统变得简单高效。",184740,2,"2026-04-19T23:22:26",[16,14,13,15,27],"插件",{"id":29,"name":30,"github_repo":31,"description_zh":32,"stars":33,"difficulty_score":10,"last_commit_at":34,"category_tags":35,"status":17},10095,"AutoGPT","Significant-Gravitas\u002FAutoGPT","AutoGPT 是一个旨在让每个人都能轻松使用和构建 AI 的强大平台，核心功能是帮助用户创建、部署和管理能够自动执行复杂任务的连续型 AI 智能体。它解决了传统 AI 应用中需要频繁人工干预、难以自动化长流程工作的痛点，让用户只需设定目标，AI 即可自主规划步骤、调用工具并持续运行直至完成任务。\n\n无论是开发者、研究人员，还是希望提升工作效率的普通用户，都能从 AutoGPT 中受益。开发者可利用其低代码界面快速定制专属智能体；研究人员能基于开源架构探索多智能体协作机制；而非技术背景用户也可直接选用预置的智能体模板，立即投入实际工作场景。\n\nAutoGPT 的技术亮点在于其模块化“积木式”工作流设计——用户通过连接功能块即可构建复杂逻辑，每个块负责单一动作，灵活且易于调试。同时，平台支持本地自托管与云端部署两种模式，兼顾数据隐私与使用便捷性。配合完善的文档和一键安装脚本，即使是初次接触的用户也能在几分钟内启动自己的第一个 AI 智能体。AutoGPT 正致力于降低 AI 应用门槛，让人人都能成为 AI 的创造者与受益者。",183572,"2026-04-20T04:47:55",[13,36,27,14,15],"语言模型",{"id":38,"name":39,"github_repo":40,"description_zh":41,"stars":42,"difficulty_score":10,"last_commit_at":43,"category_tags":44,"status":17},3808,"stable-diffusion-webui","AUTOMATIC1111\u002Fstable-diffusion-webui","stable-diffusion-webui 是一个基于 Gradio 构建的网页版操作界面，旨在让用户能够轻松地在本地运行和使用强大的 Stable Diffusion 图像生成模型。它解决了原始模型依赖命令行、操作门槛高且功能分散的痛点，将复杂的 AI 绘图流程整合进一个直观易用的图形化平台。\n\n无论是希望快速上手的普通创作者、需要精细控制画面细节的设计师，还是想要深入探索模型潜力的开发者与研究人员，都能从中获益。其核心亮点在于极高的功能丰富度：不仅支持文生图、图生图、局部重绘（Inpainting）和外绘（Outpainting）等基础模式，还独创了注意力机制调整、提示词矩阵、负向提示词以及“高清修复”等高级功能。此外，它内置了 GFPGAN 和 CodeFormer 等人脸修复工具，支持多种神经网络放大算法，并允许用户通过插件系统无限扩展能力。即使是显存有限的设备，stable-diffusion-webui 也提供了相应的优化选项，让高质量的 AI 艺术创作变得触手可及。",162132,"2026-04-05T11:01:52",[14,15,13],{"id":46,"name":47,"github_repo":48,"description_zh":49,"stars":50,"difficulty_score":24,"last_commit_at":51,"category_tags":52,"status":17},1381,"everything-claude-code","affaan-m\u002Feverything-claude-code","everything-claude-code 是一套专为 AI 编程助手（如 Claude Code、Codex、Cursor 等）打造的高性能优化系统。它不仅仅是一组配置文件，而是一个经过长期实战打磨的完整框架，旨在解决 AI 代理在实际开发中面临的效率低下、记忆丢失、安全隐患及缺乏持续学习能力等核心痛点。\n\n通过引入技能模块化、直觉增强、记忆持久化机制以及内置的安全扫描功能，everything-claude-code 能显著提升 AI 在复杂任务中的表现，帮助开发者构建更稳定、更智能的生产级 AI 代理。其独特的“研究优先”开发理念和针对 Token 消耗的优化策略，使得模型响应更快、成本更低，同时有效防御潜在的攻击向量。\n\n这套工具特别适合软件开发者、AI 研究人员以及希望深度定制 AI 工作流的技术团队使用。无论您是在构建大型代码库，还是需要 AI 协助进行安全审计与自动化测试，everything-claude-code 都能提供强大的底层支持。作为一个曾荣获 Anthropic 黑客大奖的开源项目，它融合了多语言支持与丰富的实战钩子（hooks），让 AI 真正成长为懂上",161692,"2026-04-20T11:33:57",[14,13,36],{"id":54,"name":55,"github_repo":56,"description_zh":57,"stars":58,"difficulty_score":24,"last_commit_at":59,"category_tags":60,"status":17},2271,"ComfyUI","Comfy-Org\u002FComfyUI","ComfyUI 是一款功能强大且高度模块化的视觉 AI 引擎，专为设计和执行复杂的 Stable Diffusion 图像生成流程而打造。它摒弃了传统的代码编写模式，采用直观的节点式流程图界面，让用户通过连接不同的功能模块即可构建个性化的生成管线。\n\n这一设计巧妙解决了高级 AI 绘图工作流配置复杂、灵活性不足的痛点。用户无需具备编程背景，也能自由组合模型、调整参数并实时预览效果，轻松实现从基础文生图到多步骤高清修复等各类复杂任务。ComfyUI 拥有极佳的兼容性，不仅支持 Windows、macOS 和 Linux 全平台，还广泛适配 NVIDIA、AMD、Intel 及苹果 Silicon 等多种硬件架构，并率先支持 SDXL、Flux、SD3 等前沿模型。\n\n无论是希望深入探索算法潜力的研究人员和开发者，还是追求极致创作自由度的设计师与资深 AI 绘画爱好者，ComfyUI 都能提供强大的支持。其独特的模块化架构允许社区不断扩展新功能，使其成为当前最灵活、生态最丰富的开源扩散模型工具之一，帮助用户将创意高效转化为现实。",109154,"2026-04-18T11:18:24",[14,15,13],{"id":62,"github_repo":63,"name":64,"description_en":65,"description_zh":66,"ai_summary_zh":66,"readme_en":67,"readme_zh":68,"quickstart_zh":69,"use_case_zh":70,"hero_image_url":71,"owner_login":72,"owner_name":64,"owner_avatar_url":73,"owner_bio":74,"owner_company":75,"owner_location":75,"owner_email":76,"owner_twitter":75,"owner_website":77,"owner_url":78,"languages":79,"stars":84,"forks":85,"last_commit_at":86,"license":75,"difficulty_score":24,"env_os":87,"env_gpu":88,"env_ram":88,"env_deps":89,"category_tags":98,"github_topics":99,"view_count":24,"oss_zip_url":75,"oss_zip_packed_at":75,"status":17,"created_at":106,"updated_at":107,"faqs":108,"releases":139},10080,"girls-in-ai\u002FGirls-In-AI","Girls-In-AI","免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战","Girls-In-AI 是一个专为编程零基础人群设计的 AI 算法工程师养成计划，旨在通过系统化的免费教程，帮助初学者轻松踏入代码世界。它主要解决了新手在面对复杂技术栈时不知从何下手的痛点，提供了一条从 Python 入门、数据分析到机器学习与深度学习的清晰成长路径。\n\n该项目特别适合对科技行业充满好奇的女性开发者、学生或希望转行进入数据领域的普通用户。其核心理念是“在做中学”，课程以亲切的“日记”形式发布，引导用户利用 Anaconda 和 Jupyter Notebook 等主流工具，在 Windows 或 MacOS 环境下亲手实践每一行代码。内容涵盖环境变量配置、基础语法、数据处理直至面向对象编程，甚至包含 Kaggle 实战指导。\n\nGirls-In-AI 的独特亮点在于其细致入微的课程编排与社区氛围，不仅提供了完整的中文学习资料（熟肉），还专门讲解了如何正确提问和使用终端等软技能，极大地降低了学习门槛。无论你是想掌握一项新技能，还是立志成为科技行业的领袖，这里都能为你提供坚实的支持，让你在日常积累中逐步成长为优秀的 AI 从业者。","# Girls-In-AI\r\n\r\n**Coding is the new sexy.** \r\n\r\n**GirlsInAI（GIA）** 是一个面向编程 **零基础** 的AI算法工程师养成计划。鼓励更多的女孩子去学习编程甚至成为科技行业的领袖。希望大家都能站在食物链上游看一看，因为风景真的很好。入门帖：[如何成为一名AI算法工程师](https:\u002F\u002Fweibo.com\u002F3340707810\u002FGBryiyz3T) \r\n\r\n欢迎关注微博账号 [@Girls-In-AI](https:\u002F\u002Fm.weibo.cn\u002Fprofile\u002F2650740963)，获取Girls-In-AI的最新内容，一起遇见更多喜欢AI喜欢代码的女孩子🙌~\r\n\r\n![](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Fgirls-in-ai_Girls-In-AI_readme_103f64d230ef.jpg) \r\n\r\n\r\n\r\n## machine_learning_diary\r\n\r\n**machine_learning_diary** 是 **人工智能工程师** 养成日记系列，代号简称**ML-Diary**。每次的课程以日记的形式发布，但不是日更的节奏。希望大家通过每天进步一点点，成为一个AI killer😝\r\n\r\n每一个小日记，learn by doing，用来记录你在机器学习的点滴痕迹。\r\n\r\n- 环境：Windows \u002F MacOS\r\n- 工具：Anaconda - Jupyter Notebook\r\n- 版本：Python 3\r\n\r\n说明：每个课程最左方框为【熟肉】标志，若有链接却未打勾✔，则仍为生肉，供参考学习。\r\n\r\n\r\n\r\n### 第一期：小白Python入门\r\n\r\n##### 课程列表\r\n\r\n- [x] Day-0：[注册GitHub，star点亮Girls-In-AI](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Ftools\u002Fgithub\u002Fsignup.md)\r\n- [x] Day-1：[初识 Python](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fprint\u002FREADME.md)\r\n- [x] 番外：[GitHub-Issue：正确的提问方式](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Ftools\u002Fgithub\u002Fissue.md)\r\n- [x] 番外：[Terminal的打开方式](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Ftools\u002Fterminal\u002Fstart.md)\r\n- [x] Day-2：[Python 配置环境变量](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fenv_config\u002FPython_for_WIN.md)\r\n- [x] 番外：[Jupyter Notebook 的多种打开方式](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Ftools\u002Fanaconda\u002Fjupyter\u002Fstart.md)\r\n- [x] Day-3：[数据类型简介](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fdata_type\u002Fdata_type.md)\r\n- [x] Day-4：[variable 变量](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fdata_type\u002Fvariable.md)\r\n- [x] Day-5：[bool 布尔值](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fdata_type\u002Fbool.md)\r\n- [x] Day-6：[string 字符串](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fdata_type\u002Fstring.md)\r\n- [x] Day-7：[数据类型转换](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fdata_type\u002Ftype_trans.md)\r\n- [x] Day-8：[list 列表](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fdata_type\u002Flist.md)\r\n- [x] Day-9：[dict 字典](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fdata_type\u002Fdict.md)\r\n- [x] Day-10：[if 条件判断](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fif\u002Fif.md)\r\n- [x] Day-11：[while\u002Fbreak\u002Fcontinue 循环](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Floop\u002Fwhile.md) \r\n- [x] Day-12：[for 循环](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Floop\u002Ffor.md)\r\n- [x] Day-13：[try\u002Fexcept 异常处理](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Ftree\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Ftry_except)\r\n- [x] Day-14：[function 函数](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Ffunction\u002Ffunc.md)\r\n- [x] Day-15：[读\u002F写 txt](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fread_write\u002Fread_write_txt.ipynb) \r\n- [x] Day-16：[pip install xxx](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fpackage\u002Fimport.md) \r\n- [x] Day-17：[初识 dataframe](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fdata_type\u002Fdataframe.ipynb) \r\n- [x] Day-18：[下载\u002F保存 excel](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fread_write\u002Fread_save_excel.ipynb) \r\n- [x] Day-19：[面向对象编程](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fclass\u002Fclass_1.ipynb) \r\n- [ ] Day-20：[datetime](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpython-data\u002Fdatetime.ipynb)  \r\n- [ ] To be continued...\r\n\r\n\r\n\r\n### 第二期：成为数据分析师 Data Analyst\r\n\r\nPython Data Science Handbook [[book](https:\u002F\u002Fjakevdp.github.io\u002FPythonDataScienceHandbook\u002F)]\r\n\r\n##### 课程列表\r\n\r\n- [x] Day-21：[初识Kaggle：Titanic](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdata_analysis\u002Fkaggle_intro.md) \r\n- [x] Day-22：[初识 Pandas, Matplotlib, Numpy：柱状图、折线图、箱图](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdata_analysis\u002Ftitanic_plot.ipynb) \r\n\r\n**Pandas** \r\n\r\n- [x] Day-23：[Pandas 基础1](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdata_analysis\u002FPandas.ipynb) \r\n- [ ] Day-24：[Pandas 基础2](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002Fpandas.ipynb) \r\n- [ ] Day-25：[Pandas 对象](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002F03.01-Introducing-Pandas-Objects.ipynb) \r\n- [ ] Day-26：[Pandas 数据索引](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002F03.02-Data-Indexing-and-Selection.ipynb) \r\n- [ ] Day-27：[Pandas 数据操作](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002F03.03-Operations-in-Pandas.ipynb) \r\n- [ ] Day-28：[Pandas 处理缺失值](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002F03.04-Missing-Values.ipynb) \r\n- [ ] Day-29：[Pandas 多层索引](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002F03.05-Hierarchical-Indexing.ipynb) \r\n- [ ] Day-30：[Pandas 汇总和频数统计](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdata_analysis\u002Fpandas_count.ipynb) \r\n- [ ] Day-31：[Pandas: Concat and Append](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002F03.06-Concat-And-Append.ipynb) \r\n- [ ] Day-32：[Pandas: Merge and Join](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002F03.07-Merge-and-Join.ipynb) \r\n- [ ] Day-33：[Pandas: Aggregation and Grouping](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002F03.08-Aggregation-and-Grouping.ipynb) \r\n- [ ] Day-34：[Pandas: Pivot Tables](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002F03.09-Pivot-Tables.ipynb) \r\n- [ ] Day-35：[Pandas 矢量化字符串操作](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002F03.10-Working-With-Strings.ipynb) \r\n- [ ] Day-36：[Pandas 时间序列](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002F03.11-Working-with-Time-Series.ipynb) \r\n- [ ] Day-37：[Pandas 高级使用](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002F03.12-Performance-Eval-and-Query.ipynb) \r\n\r\n**Matplotlib** \r\n\r\n- [ ] Day-38：[Matplotlib 基础绘图](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002Fmatplotlib.ipynb) \r\n- [ ] Day-39：[Matplotlib Titanic应用](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002Fmatplotlib-applied.ipynb) \r\n- [ ] Day-40：[Matplotlib 简单介绍](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.00-Introduction-To-Matplotlib.ipynb) \r\n- [ ] Day-41：[Matplotlib 曲线图](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.01-Simple-Line-Plots.ipynb) \r\n- [ ] Day-42：[Matplotlib 散点图](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.02-Simple-Scatter-Plots.ipynb) \r\n- [ ] Day-43：[Matplotlib 可视化错误](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.03-Errorbars.ipynb) \r\n- [ ] Day-44：[Matplotlib 密度图](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.04-Density-and-Contour-Plots.ipynb) \r\n- [ ] Day-45：[Matplotlib 直方图，平移和密度可视化](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.05-Histograms-and-Binnings.ipynb) \r\n- [ ] Day-46：[Matplotlib 自定义绘图](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.06-Customizing-Legends.ipynb) \r\n- [ ] Day-47：[Matplotlib 自定义色彩](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.07-Customizing-Colorbars.ipynb) \r\n- [ ] Day-48：[Matplotlib 多子图绘制](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.08-Multiple-Subplots.ipynb) \r\n- [ ] Day-49：[Matplotlib 用图说话](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.09-Text-and-Annotation.ipynb) \r\n- [ ] Day-50：[Matplotlib 自定义刻度](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.10-Customizing-Ticks.ipynb) \r\n- [ ] Day-51：[Matplotlib 自定义风格绘图](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.11-Settings-and-Stylesheets.ipynb) \r\n- [ ] Day-52：[Matplotlib 三维图绘制](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.12-Three-Dimensional-Plotting.ipynb) \r\n- [ ] Day-53：[Matplotlib 地理图绘制](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.13-Geographic-Data-With-Basemap.ipynb) \r\n- [ ] Day-54：[Matplotlib 与Seaborn碰撞](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.14-Visualization-With-Seaborn.ipynb) \r\n\r\n**Numpy** \r\n\r\n- [ ] Day-55：[Numpy 基础1](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdata_analysis\u002FNumPy.ipynb) \r\n- [ ] Day-56：[Numpy 基础2](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fnumpy\u002Fnumpy.ipynb) \r\n- [ ] Day-57：[Numpy 数据类型介绍](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fnumpy\u002F02.01-Understanding-Data-Types.ipynb) \r\n- [ ] Day-58：[Numpy 数列Array](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fnumpy\u002F02.02-The-Basics-Of-NumPy-Arrays.ipynb) \r\n- [ ] Day-59：[Numpy 转置](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdata_analysis\u002Ftranspose.ipynb) \r\n- [ ] Day-60：[Numpy 常用计算](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fnumpy\u002F02.03-Computation-on-arrays-ufuncs.ipynb) \r\n- [ ] Day-61：[Numpy 聚合](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fnumpy\u002F02.04-Computation-on-arrays-aggregates.ipynb) \r\n- [ ] Day-62：[Numpy 数列计算](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fnumpy\u002F02.05-Computation-on-arrays-broadcasting.ipynb) \r\n- [ ] Day-63：[Numpy 比较，掩码和布尔逻辑](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fnumpy\u002F02.06-Boolean-Arrays-and-Masks.ipynb) \r\n- [ ] Day-64：[Numpy 花式索引](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fnumpy\u002F02.07-Fancy-Indexing.ipynb) \r\n- [ ] Day-65：[Numpy 数组排序](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fnumpy\u002F02.08-Sorting.ipynb) \r\n- [ ] Day-66：[Numpy 结构化数组](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fnumpy\u002F02.09-Structured-Data-NumPy.ipynb) \r\n\r\n**To be continued...** \r\n\r\n- [ ] Day-67：数据标准化，正则化，\r\n- [ ] Day-68：One-Hot encoding\r\n\r\n\r\n\r\n### 第三期：机器学习\r\n\r\n##### 课程列表\r\n\r\n- [ ] [机器学习简介：分类、聚类等](https:\u002F\u002Fjakevdp.github.io\u002FPythonDataScienceHandbook\u002F05.01-what-is-machine-learning.html) \r\n- [ ] [scikit-learn 简单介绍](https:\u002F\u002Fjakevdp.github.io\u002FPythonDataScienceHandbook\u002F05.02-introducing-scikit-learn.html) \r\n- [ ] [scikit-learn KNN](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fscikit-learn\u002Fscikit-learn-intro.ipynb) \r\n- [ ] [scikit-learn 线性回归 demo1](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fscikit-learn\u002Fscikit-learn-linear-reg.ipynb) \r\n- [ ] [scikit-learn 线性回归 demo2](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdata_analysis\u002FLinear_Regression.ipynb) \r\n- [ ] [scikit-learn 逻辑回归](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fmachine_learning\u002FLogistic_Regression.ipynb) \r\n- [ ] [scikit-learn Naive Bayes Classification](https:\u002F\u002Fjakevdp.github.io\u002FPythonDataScienceHandbook\u002F05.05-naive-bayes.html) \r\n- [ ] [scikit-learn 支持向量机 SVM](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fscikit-learn\u002Fscikit-learn-svm.ipynb) \r\n- [ ] [scikit-learn 随机森林 Random Forest 1](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fscikit-learn\u002Fscikit-learn-random-forest.ipynb) \r\n- [ ] [scikit-learn 随机森林 Random Forest 2](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fmachine_learning\u002FRandom_Forests.ipynb) \r\n- [ ] [scikit-learn K-Means](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fscikit-learn\u002Fscikit-learn-k-means.ipynb) \r\n- [ ] [scikit-learn PCA](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fscikit-learn\u002Fscikit-learn-pca.ipynb) \r\n- [ ] [scikit-learn 高斯混合模型](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fscikit-learn\u002Fscikit-learn-gmm.ipynb) \r\n- [ ] [scikit-learn 模型验证和模型选择](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fscikit-learn\u002Fscikit-learn-validation.ipynb) \r\n- [ ] [实战项目：人脸检测](https:\u002F\u002Fjakevdp.github.io\u002FPythonDataScienceHandbook\u002F05.14-image-features.html) \r\n- [ ] adaboost\r\n- [ ] xgboost\r\n- [ ] bagging, boosting\r\n- [ ] LightGBM\r\n- [ ] LDA\r\n- [ ] 实战项目 - 影评分类\r\n- [ ] bonus：Auto ML- auto sklearn\r\n- [ ] [超参数和模型验证](https:\u002F\u002Fjakevdp.github.io\u002FPythonDataScienceHandbook\u002F05.03-hyperparameters-and-model-validation.html) \r\n- [ ] 损失函数\r\n- [ ] 目标函数\r\n- [ ] 交叉检验\r\n- [ ] 拆分训练集、测试集\r\n- [ ] 数据增强\r\n- [ ] 模型集成\r\n- [ ] 评估指标\r\n- [ ] 实战项目：信贷信用评分\r\n\r\n\r\n\r\n### 第四期：深度学习 [coming soon...]\r\n\r\n##### 课程列表\r\n\r\n- [ ] Tensorflow, run demo\r\n- [ ] Keras, run demo\r\n- [ ] [Pytorch](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdeep_learning\u002F07_PyTorch.ipynb) \r\n- [ ] [60分钟入门Pytorch 深度学习](https:\u002F\u002Fpytorch.org\u002Ftutorials\u002Fbeginner\u002Fdeep_learning_60min_blitz.html) \r\n- [ ] [多层感知机](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdeep_learning\u002F08_Multilayer_Perceptron.ipynb) \r\n- [ ] [CNN, run demo](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdeep_learning\u002F11_Convolutional_Neural_Networks.ipynb) \r\n- [ ] [CS231n Convolutional Neural Networks for Visual Recognition](https:\u002F\u002Fcs231n.github.io\u002F) \r\n- [ ] [RNN, run demo](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdeep_learning\u002F13_Recurrent_Neural_Networks.ipynb) \r\n- [ ] [高级RNN](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdeep_learning\u002F14_Advanced_RNNs.ipynb) \r\n- [ ] GAN\r\n- [ ] 实战项目\r\n\r\n\r\n\r\n### 第五期：毕业项目 kaggle实战 [coming soon...]\r\n\r\n##### 课程列表\r\n\r\n- [ ] 自然语言：有一个嵌入层的介绍\r\n- [ ] NLP实战1：情感分析\r\n- [ ] NLP实战2：qa匹配\r\n- [ ] 数据挖掘：santander customer transaction prediction\r\n- [ ] 计算机视觉：mnist\r\n- [ ] [计算机视觉](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdeep_learning\u002F15_Computer_Vision.ipynb) \r\n\r\n\r\n\r\n### NLP篇：自然语言处理 [coming soon...]\r\n\r\n##### 课程列表\r\n\r\n- [ ] word2vec\r\n- [ ] word cloud\r\n- [ ] 文本相似性\r\n- [ ] ...\r\n\r\n\r\n\r\n### 成长篇：程序员的自我修养\r\n\r\nfrom [Leo Hui](https:\u002F\u002Fgithub.com\u002Fleohxj) \r\n\r\n- [介紹](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Findex.html) \r\n- **1.** 程序员基础知识\r\n  - [**1.1.** 字符编码](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fprogrammer-basic\u002Fcharacter-encoding.html)\r\n  - [**1.2.** 技术名词](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fprogrammer-basic\u002Ftechnical-terms.html)\r\n  - [**1.3.** 语义化版本](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fprogrammer-basic\u002Fsemantic-versioning.html)\r\n  - [**1.4.** 命名规范](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fprogrammer-basic\u002Fnaming.html)\r\n  - [**1.5.** 书写文档](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fprogrammer-basic\u002Fwrite-document.html)\r\n  - [**1.6.** 开源协议](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fprogrammer-basic\u002Fopen-source-license.html)\r\n  - [**1.7.** 目录结构](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fprogrammer-basic\u002Fdirectory.html)\r\n  - [**1.8.** 正则表达式](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fprogrammer-basic\u002Fregular-expression.html)\r\n  - [**1.9.** 平凡之路](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fprogrammer-basic\u002Fordinary-road.html)\r\n- **2.** 数据结构与算法\r\n  - [**2.1.** 堆和栈](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fdata-structures-and-algorithm\u002Fheap-and-stack.html)\r\n  - [**2.2.** 浮点数类型](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fdata-structures-and-algorithm\u002Fdata-structure-float.html)\r\n  - [**2.3.** XML和JSON](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fdata-structures-and-algorithm\u002Fxml-and-json.html)\r\n  - [**2.4.** 算法学习之路](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fdata-structures-and-algorithm\u002Flearning-road.html)\r\n  - [**2.5.** 排序算法](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fdata-structures-and-algorithm\u002Fsort-algorithm.html)\r\n- **3.** 代码架构\r\n  - **3.1.** 设计模式\r\n    - [**3.1.1.** 常用的Javascript设计模式](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Farchitecture\u002Fdesign-pattern\u002Fdesign-pattern-js.html)\r\n  - **3.2.** 面向对象编程\r\n    - [**3.2.1.** 继承](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Farchitecture\u002Fobject-oriented-programming\u002Finheritance.html)\r\n    - [**3.2.2.** 多态](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Farchitecture\u002Fobject-oriented-programming\u002Fpolymorphism.html)\r\n    - [**3.2.3.** 封装](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Farchitecture\u002Fobject-oriented-programming\u002Fencapsulation.html)\r\n  - [**3.3.** 面向接口编程](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Farchitecture\u002Finterface-oriented-programming\u002Findex.html)\r\n- **4.** 代码评审\r\n  - [**4.1.** 六种量化你代码的方式](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fcode-review\u002F6-ways-to-quantify-your-code.html)\r\n  - [**4.2.** 程序员必备的代码审查（Code Review）清单](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fcode-review\u002Fcode-review-list.html)\r\n- **5.** 服务器部署\r\n  - [**5.1.** AWS简介](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fdeploy\u002Faws-intro.html)\r\n- **6.** 网络知识\r\n  - [**6.1.** HTTPS, SPDY和 HTTP\u002F2性能的简单对比](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fnetworks\u002Fa-simple-performance-comparison-of-https-spdy-and-http2.html)\r\n  - [**6.2.** HTTP状态码](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fnetworks\u002Fhttp-status-code.html)\r\n- **7.** 懂点设计\r\n  - [**7.1.** 佳作赏析](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fdesign\u002Fappreciate.html)\r\n  - [**7.2.** 无缝平铺](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fdesign\u002Finfinite-tile.html)\r\n  - [**7.3.** Sketch学习](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fdesign\u002Flearning-sketch.html)\r\n  - [**7.4.** 设计与实现的平衡](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fdesign\u002Fbalance-design-and-realize.html)\r\n- **8.** 写点东西\r\n  - [**8.1.** 使用gitbook](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fwriting\u002Fusing-gitbook.html)\r\n- **9.** 合格的PM\r\n  - [**9.1.** 一个好的产品经理](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fpm\u002Fgood-product-manager.html)\r\n  - [**9.2.** 产品经理的技能](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fpm\u002Fpm-skills.html)\r\n- **10.** 团队合作\r\n  - [**10.1.** 关于招聘](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fteamwork\u002Fhiring.html)\r\n  - [**10.2.** 培训新人](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fteamwork\u002Ftraining.html)\r\n  - [**10.3.** 领导能力](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fteamwork\u002Fleader.html)\r\n- **11.** 获取知识\r\n  - [**11.1.** MOOC](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fknowledge\u002Flearning-mooc.html)\r\n  - [**11.2.** Podcasts](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fknowledge\u002Fpodcasts.html)\r\n  - [**11.3.** 英语学习](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fknowledge\u002Flearning-english.html)\r\n  - [**11.4.** 设计学习](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fknowledge\u002Flearning-design.html)\r\n  - [**11.5.** 前端学习](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fknowledge\u002Flearning-front-end.html)\r\n  - [**11.6.** iOS学习](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fknowledge\u002Flearning-ios.html)\r\n  - [**11.7.** 游戏开发](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fknowledge\u002Flearning-games.html)\r\n- **12.** 关注健康\r\n  - [**12.1.** 过劳检测](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fhealthy\u002Fdetect-overwork.html)\r\n  - [**12.2.** 关于睡眠](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fhealthy\u002Fabout-sleep.html)\r\n- **13.** 提升效率\r\n  - [**13.1.** 学会阅读](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fhow-to-read.html)\r\n  - [**13.2.** 学会提问](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fhow-to-ask.html)\r\n  - [**13.3.** 善用搜索](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fhow-to-search.html)\r\n  - [**13.4.** 学会写作](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fhow-to-write.html)\r\n  - [**13.5.** 科学上网](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fgreat-fire-wall.html)\r\n  - [**13.6.** 突破内网](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fbreak-through-intranet.html)\r\n  - [**13.7.** 时间管理](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fmange-time.html)\r\n  - [**13.8.** 知识管理](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fmange-knowledge.html)\r\n  - [**13.9.** 文件管理](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fmange-files.html)\r\n  - [**13.10.** 密码管理](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fmange-password.html)\r\n  - [**13.11.** 制作视频](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fshare-with-video.html)\r\n  - [**13.12.** 制作PPT](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fshare-with-slide.html)\r\n  - [**13.13.** 论音乐对效率的影响](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fmusic-vs-efficiency.html)\r\n  - [**13.14.** 程序员效率指南](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fcoder-guide.html)\r\n- **14.** SOHO\r\n  - [**14.1.** 创业资源](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoho\u002Fresource.html)\r\n- **15.** Hacker\r\n  - [**15.1.** 保护隐私](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fhacker\u002Fprotect-privacy.html)\r\n- **16.** 关于工作\r\n  - [**16.1.** 找工作前需要思考的问题](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Foffer\u002Fbefore-find-offer.html)\r\n  - [**16.2.** 原则与技巧](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Foffer\u002Finterview-principle-and-skill.html)\r\n  - [**16.3.** 关于简历](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Foffer\u002Fabout-resume.html)\r\n- **17.** 其他方面\r\n  - [**17.1.** 硬件相关](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fothers\u002Fhardware.html)\r\n- **18.** 常用软件\r\n  - **18.1.** Windows\r\n    - [**18.1.1.** 硬件配置](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fwindows\u002Fhardware.html)\r\n    - [**18.1.2.** 系统安装](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fwindows\u002Finstall-windows.html)\r\n    - [**18.1.3.** 常用软件](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fwindows\u002Fsoftware-list.html)\r\n  - **18.2.** Mac\r\n    - [**18.2.1.** 通用设置](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fsetting.html)\r\n    - [**18.2.2.** 权限问题](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fpermissions.html)\r\n    - [**18.2.3.** alias设置](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Falias.html)\r\n    - **18.2.4.** 常用软件\r\n      - [**18.2.4.1.** iTerm2](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fsoftwares\u002FiTerm2.html)\r\n      - [**18.2.4.2.** brew](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fsoftwares\u002Fbrew.html)\r\n      - [**18.2.4.3.** zsh](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fsoftwares\u002Fzsh.html)\r\n      - [**18.2.4.4.** 1Password](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fsoftwares\u002F1Password.html)\r\n      - [**18.2.4.5.** TextExpander](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fsoftwares\u002FTextExpander.html)\r\n      - [**18.2.4.6.** 欧陆词典](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fsoftwares\u002FeuDic.html)\r\n      - [**18.2.4.7.** popClip](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fsoftwares\u002FpopClip.html)\r\n      - [**18.2.4.8.** manico](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fsoftwares\u002Fmanico.html)\r\n      - [**18.2.4.9.** 窗口管理器](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fsoftwares\u002Fwindow-management.html)\r\n      - [**18.2.4.10.** BetterTouchTool](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fsoftwares\u002Fbettertouchtool.html)\r\n    - [**18.2.5.** 开发环境](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fdevelop-environment.html)\r\n    - [**18.2.6.** 快捷键设置](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fshortcuts.html)\r\n    - [**18.2.7.** 常用终端命令](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fusefully-command.html)\r\n    - [**18.2.8.** dotfiles](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fdotfiles.html)\r\n  - **18.3.** Android\r\n    - [**18.3.1.** 常用软件](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fandroid\u002Fsoftware-list.html)\r\n    - [**18.3.2.** 如何登录美国区GooglePlay](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fandroid\u002Fgoogle-play.html)\r\n  - **18.4.** 开发工具\r\n    - [**18.4.1.** git](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fdevelop-tool\u002Fgit.html)\r\n    - [**18.4.2.** EditorConfig](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fdevelop-tool\u002Feditor-config.html)\r\n    - [**18.4.3.** node](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fdevelop-tool\u002Fnode.html)\r\n    - [**18.4.4.** shadowsocks](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fdevelop-tool\u002Fshadowsocks.html)\r\n    - [**18.4.5.** ST3--Windows篇](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fdevelop-tool\u002Fwindows-sublimetext3.html)\r\n    - [**18.4.6.** ST3--Mac篇](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fdevelop-tool\u002Fmac-sublimetext3.html)\r\n    - [**18.4.7.** gulp](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fdevelop-tool\u002Fgulp.html)\r\n    - [**18.4.8.** 字体的选择](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fdevelop-tool\u002Ffonts.html)\r\n    - [**18.4.9.** Emacs](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fdevelop-tool\u002Femacs.html)\r\n    - [**18.4.10.** WebStorm](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fdevelop-tool\u002Fwebstorm.html)\r\n    - [**18.4.11.** tmux](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fdevelop-tool\u002Ftmux.html)\r\n  - **18.5.** Sketch\r\n    - [**18.5.1.** Sketch中文学习资料](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fsketch\u002FAwesome-Sketch.html)\r\n  - **18.6.** Trello\r\n    - [**18.6.1.** 使用Trello管理项目的经验](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Ftrello\u002Fuse-trello-manage-project.html)\r\n  - **18.7.** git进阶\r\n    - [**18.7.1.** 15分钟学会使用Git和远程代码库](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fgit\u002Fgetting-start.html)\r\n    - [**18.7.2.** GitHub秘籍](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fgit\u002Fgithub-cheat-sheet.html)\r\n  - **18.8.** JetBrains\r\n    - [**18.8.1.** IDE设置](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002FJetBrains\u002Fide-setting.html)\r\n- **19.** 附录\r\n  - [**19.1.** 计算机科学与技术](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fappendix\u002Fcomputer-science.html)\r\n  - [**19.2.** 网站](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fappendix\u002Fwebsites.html)\r\n  - [**19.3.** 书籍](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fappendix\u002Fbooks.html)\r\n  - [**19.4.** 工具](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fappendix\u002Ftools.html) \r\n\r\n\r\n\r\n### 课外项目：基于Python的经典空气动力学 \r\n\r\n该*AeroPython* （空气动力学，流体力学，MAE-6226）是由洛雷纳·A·巴巴教授在乔治·华盛顿大学的课程核心。\r\n\r\n![](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Fgirls-in-ai_Girls-In-AI_readme_012b68879fb5.png)\r\n\r\n##### 课程列表\r\n\r\n**模块1.潜在流程的构建块** \r\n\r\n1. [Source＆Sink](http:\u002F\u002Fnbviewer.ipython.org\u002Furls\u002Fgithub.com\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F01_Lesson01_sourceSink.ipynb) \r\n2. [自由流中的源和汇](http:\u002F\u002Fnbviewer.ipython.org\u002Furls\u002Fgithub.com\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F02_Lesson02_sourceSinkFreestream.ipynb) \r\n3. [成对的东西](http:\u002F\u002Fnbviewer.ipython.org\u002Furls\u002Fgithub.com\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F03_Lesson03_doublet.ipynb)\r\n4. [分配：翼型上的源分布](http:\u002F\u002Fnbviewer.ipython.org\u002Fgithub\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F03_Lesson03_Assignment.ipynb)\r\n\r\n**模块2.潜在的涡流和升力** \r\n\r\n1. [涡流](http:\u002F\u002Fnbviewer.ipython.org\u002Furls\u002Fgithub.com\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F04_Lesson04_vortex.ipynb)\r\n2. [无限排的漩涡](http:\u002F\u002Fnbviewer.ipython.org\u002Furls\u002Fgithub.com\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F05_Lesson05_InfiniteRowOfVortices.ipynb)\r\n3. [气缸上的涡旋升降机](http:\u002F\u002Fnbviewer.ipython.org\u002Furls\u002Fgithub.com\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F06_Lesson06_vortexLift.ipynb)\r\n4. [作业：Joukowski转型](http:\u002F\u002Fnbviewer.ipython.org\u002Fgithub\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F06_Lesson06_Assignment.ipynb)\r\n\r\n**模块3.非升力体的源面板方法** \r\n\r\n1. [图像方法](http:\u002F\u002Fnbviewer.ipython.org\u002Furls\u002Fgithub.com\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F07_Lesson07_methodOfImages.ipynb)\r\n2. [资料表](http:\u002F\u002Fnbviewer.ipython.org\u002Furls\u002Fgithub.com\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F08_Lesson08_sourceSheet.ipynb)\r\n3. [流过带有源面板的圆柱体](http:\u002F\u002Fnbviewer.ipython.org\u002Furls\u002Fgithub.com\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F09_Lesson09_flowOverCylinder.ipynb)\r\n4. [源面板方法](http:\u002F\u002Fnbviewer.ipython.org\u002Furls\u002Fgithub.com\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F10_Lesson10_sourcePanelMethod.ipynb)\r\n\r\n**模块4.用于升力体的涡旋源面板方法** \r\n\r\n1. [涡源面板法](http:\u002F\u002Fnbviewer.ipython.org\u002Furls\u002Fgithub.com\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F11_Lesson11_vortexSourcePanelMethod.ipynb)\r\n2. [练习：推导涡旋源面板方法](http:\u002F\u002Fnbviewer.ipython.org\u002Fgithub\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F11_Lesson11_Exercise.ipynb)\r\n3. [任务：2D多组件翼型](http:\u002F\u002Fnbviewer.ipython.org\u002Fgithub\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F11_Lesson11_Assignment.ipynb) \r\n\r\n\r\n\r\n## GIA求职篇：面试题 + 简历\r\n\r\n##### 简历\r\n\r\n- [x] [100份沃顿商学院简历](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fresume\u002Fwharton\u002FWharton_Resume.pdf) \r\n\r\n\r\n\r\n## Girls-In-AI Scholarship 奖学金计划\r\n\r\n这个计划为什么叫Girls-In-AI?\r\n\r\n社会有强弱，技术无性别。我想鼓励更多的女孩子们加入到科技行业，从事社会地位高的有意思的工作。所以2019年的奖学金就是面向女生的。最少的是我投入的500rmb。如果受到支持，会加大奖学金额，上不封顶。同时，欢迎任何对这个项目的赞助与支持，将会公开赞助金额超过100rmb的名单。\r\n\r\n另外，这个计划所有的课程都免费。对！免费！如果你没钱报外面三五万的水培训班，而你恰好有时间学，欢迎你来！\r\n\r\n\r\n\r\n#### Scholarship Criteria 奖学金评定规则\r\n\r\n原则\r\n\r\n- [x] 鼓励大家一起营造GIA积极向上的社区氛围\r\n- [x] 鼓励大家互帮互助，培养起自己动手解决问题的能力\r\n\r\n规则\r\n\r\n- [x] **40% 维护学习氛围**： 上课\u002F作业打卡 + 笔记分享\r\n- [x] **60% 贡献社区**：帮助解答 + 有效issue + 优质pull request\r\n\r\n\r\n\r\n#### Donation Rules 捐赠步骤\r\n\r\n1. 任何捐助金额，转账给微信二维码：\r\n\r\n   \u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Fgirls-in-ai_Girls-In-AI_readme_169ef2f19602.png\" width = 30% height = 30%\u002F> \r\n\r\n2. 在备注中留下 **[GIA]** 标识和你想在捐助名单出现的名字或者其他说明。你可以选择：\r\n\r\n   - [ ] 是否隐藏金额\r\n   - [ ] 是否隐藏姓名\r\n\r\n\r\n如有任何兴趣或者疑问请微博私信联系[@Girls-In-AI](https:\u002F\u002Fm.weibo.cn\u002Fprofile\u002F2650740963) ，再次感谢大家👏\r\n\r\n\r\n\r\n#### Donation List 捐赠人名单\r\n\r\n目前奖学金一共有 1000 rmb\r\n\r\n2019-1-4\t微博@CodeWithZhangYi\t支持金 ￥500\r\n\r\n2019-1-8\t微博网友：小悟空\t支持金 ￥100\r\n\r\n2019-1-8\t微博网友：悦\t\t支持金 ￥200\r\n\r\n2019-2-3\t微博网友：小悟空\t支持金 ￥200\r\n\r\n\r\n\r\n## Girls-In-AI 出征计划\r\n\r\n这只是我不成熟的小想法，我希望Girls-In-AI能起到一定的公益作用。等到Girls-In-AI 养成之后，我会在微博呼吁大家，毕竟人多力量大。可能开展的项目：\r\n\r\n- 帮助简历修改，面试题分享\r\n- 与公益活动合作，组织大家为公益项目免费写代码【有任何组织想合作欢迎联系】\r\n- ......\r\n\r\n\r\n\r\n## Join Girls-In-AI\r\n\r\nGIA不是教科书，我想让编程这件事简单一些，重在培养一些兴趣。已经有很多朋友反馈因为GIA敲下人生第一行代码，也因此对编程越来越感兴趣。如果我的坚持能带给你力量，那么我告诉你，我会一直坚持下去！\r\n\r\n\r\n\r\nGIA面向的人群：\r\n\r\n- [x] 渴望知识的学生\r\n- [x] 跨领域转岗想做了解的在职人士\r\n- [x] 编程零基础小白，这里有完整的学习路径，指导你从头开始掌握新技能\r\n\r\n\r\n\r\n喜欢的话，就star点亮Girls-In-AI吧！欢迎积极的issue和pr！\r\n\r\n**Please, feel free to make any contributions you feel will make it better.** \r\n\r\n**Let's see what we can do.🤞** \r\n","# Girls-In-AI\n\n**编程才是新的性感。**\n\n**GirlsInAI（GIA）** 是一个面向编程 **零基础** 的AI算法工程师养成计划。鼓励更多的女孩子去学习编程甚至成为科技行业的领袖。希望大家都能站在食物链上游看一看，因为风景真的很好。入门帖：[如何成为一名AI算法工程师](https:\u002F\u002Fweibo.com\u002F3340707810\u002FGBryiyz3T) \n\n欢迎关注微博账号 [@Girls-In-AI](https:\u002F\u002Fm.weibo.cn\u002Fprofile\u002F2650740963)，获取Girls-In-AI的最新内容，一起遇见更多喜欢AI喜欢代码的女孩子🙌~\n\n![](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Fgirls-in-ai_Girls-In-AI_readme_103f64d230ef.jpg) \n\n## machine_learning_diary\n\n**machine_learning_diary** 是 **人工智能工程师** 养成日记系列，代号简称**ML-Diary**。每次的课程以日记的形式发布，但不是日更的节奏。希望大家通过每天进步一点点，成为一个AI killer😝\n\n每一个小日记，learn by doing，用来记录你在机器学习的点滴痕迹。\n\n- 环境：Windows \u002F MacOS\n- 工具：Anaconda - Jupyter Notebook\n- 版本：Python 3\n\n说明：每个课程最左方框为【熟肉】标志，若有链接却未打勾✔，则仍为生肉，供参考学习。\n\n\n\n### 第一期：小白Python入门\n\n##### 课程列表\n\n- [x] Day-0：[注册GitHub，star点亮Girls-In-AI](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Ftools\u002Fgithub\u002Fsignup.md)\n- [x] Day-1：[初识 Python](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fprint\u002FREADME.md)\n- [x] 番外：[GitHub-Issue：正确的提问方式](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Ftools\u002Fgithub\u002Fissue.md)\n- [x] 番外：[Terminal的打开方式](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Ftools\u002Fterminal\u002Fstart.md)\n- [x] Day-2：[Python 配置环境变量](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fenv_config\u002FPython_for_WIN.md)\n- [x] 番外：[Jupyter Notebook 的多种打开方式](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Ftools\u002Fanaconda\u002Fjupyter\u002Fstart.md)\n- [x] Day-3：[数据类型简介](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fdata_type\u002Fdata_type.md)\n- [x] Day-4：[variable 变量](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fdata_type\u002Fvariable.md)\n- [x] Day-5：[bool 布尔值](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fdata_type\u002Fbool.md)\n- [x] Day-6：[string 字符串](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fdata_type\u002Fstring.md)\n- [x] Day-7：[数据类型转换](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fdata_type\u002Ftype_trans.md)\n- [x] Day-8：[list 列表](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fdata_type\u002Flist.md)\n- [x] Day-9：[dict 字典](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fdata_type\u002Fdict.md)\n- [x] Day-10：[if 条件判断](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fif\u002Fif.md)\n- [x] Day-11：[while\u002Fbreak\u002Fcontinue 循环](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Floop\u002Fwhile.md) \n- [x] Day-12：[for 循环](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Floop\u002Ffor.md)\n- [x] Day-13：[try\u002Fexcept 异常处理](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Ftree\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Ftry_except)\n- [x] Day-14：[function 函数](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Ffunction\u002Ffunc.md)\n- [x] Day-15：[读\u002F写 txt](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fread_write\u002Fread_write_txt.ipynb) \n- [x] Day-16：[pip install xxx](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fpackage\u002Fimport.md) \n- [x] Day-17：[初识 dataframe](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fdata_type\u002Fdataframe.ipynb) \n- [x] Day-18：[下载\u002F保存 excel](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fread_write\u002Fread_save_excel.ipynb) \n- [x] Day-19：[面向对象编程](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fbase\u002Fclass\u002Fclass_1.ipynb) \n- [ ] Day-20：[datetime](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpython-data\u002Fdatetime.ipynb)  \n- [ ] To be continued...\n\n### 第二期：成为数据分析师 Data Analyst\n\nPython 数据科学手册 [[book](https:\u002F\u002Fjakevdp.github.io\u002FPythonDataScienceHandbook\u002F)]\n\n##### 课程列表\n\n- [x] 第21天：[初识Kaggle：泰坦尼克号](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdata_analysis\u002Fkaggle_intro.md) \n- [x] 第22天：[初识 Pandas, Matplotlib, Numpy：柱状图、折线图、箱线图](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdata_analysis\u002Ftitanic_plot.ipynb) \n\n**Pandas** \n\n- [x] 第23天：[Pandas 基础1](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdata_analysis\u002FPandas.ipynb) \n- [ ] 第24天：[Pandas 基础2](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002Fpandas.ipynb) \n- [ ] 第25天：[Pandas 对象](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002F03.01-Introducing-Pandas-Objects.ipynb) \n- [ ] 第26天：[Pandas 数据索引](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002F03.02-Data-Indexing-and-Selection.ipynb) \n- [ ] 第27天：[Pandas 数据操作](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002F03.03-Operations-in-Pandas.ipynb) \n- [ ] 第28天：[Pandas 处理缺失值](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002F03.04-Missing-Values.ipynb) \n- [ ] 第29天：[Pandas 多层索引](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002F03.05-Hierarchical-Indexing.ipynb) \n- [ ] 第30天：[Pandas 汇总和频数统计](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdata_analysis\u002Fpandas_count.ipynb) \n- [ ] 第31天：[Pandas: Concat and Append](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002F03.06-Concat-And-Append.ipynb) \n- [ ] 第32天：[Pandas: Merge and Join](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002F03.07-Merge-and-Join.ipynb) \n- [ ] 第33天：[Pandas: Aggregation and Grouping](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002F03.08-Aggregation-and-Grouping.ipynb) \n- [ ] 第34天：[Pandas: Pivot Tables](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002F03.09-Pivot-Tables.ipynb) \n- [ ] 第35天：[Pandas 矢量化字符串操作](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002F03.10-Working-With-Strings.ipynb) \n- [ ] 第36天：[Pandas 时间序列](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002F03.11-Working-with-Time-Series.ipynb) \n- [ ] 第37天：[Pandas 高级使用](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fpandas\u002F03.12-Performance-Eval-and-Query.ipynb) \n\n**Matplotlib** \n\n- [ ] 第38天：[Matplotlib 基础绘图](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002Fmatplotlib.ipynb) \n- [ ] 第39天：[Matplotlib 泰坦尼克号应用](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002Fmatplotlib-applied.ipynb) \n- [ ] 第40天：[Matplotlib 简单介绍](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.00-Introduction-To-Matplotlib.ipynb) \n- [ ] 第41天：[Matplotlib 曲线图](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.01-Simple-Line-Plots.ipynb) \n- [ ] 第42天：[Matplotlib 散点图](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.02-Simple-Scatter-Plots.ipynb) \n- [ ] 第43天：[Matplotlib 可视化误差](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.03-Errorbars.ipynb) \n- [ ] 第44天：[Matplotlib 密度图](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.04-Density-and-Contour-Plots.ipynb) \n- [ ] 第45天：[Matplotlib 直方图，平移和密度可视化](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.05-Histograms-and-Binnings.ipynb) \n- [ ] 第46天：[Matplotlib 自定义绘图](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.06-Customizing-Legends.ipynb) \n- [ ] 第47天：[Matplotlib 自定义色彩](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.07-Customizing-Colorbars.ipynb) \n- [ ] 第48天：[Matplotlib 多子图绘制](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.08-Multiple-Subplots.ipynb) \n- [ ] 第49天：[Matplotlib 用图说话](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.09-Text-and-Annotation.ipynb) \n- [ ] 第50天：[Matplotlib 自定义刻度](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.10-Customizing-Ticks.ipynb) \n- [ ] 第51天：[Matplotlib 自定义风格绘图](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.11-Settings-and-Stylesheets.ipynb) \n- [ ] 第52天：[Matplotlib 三维图绘制](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.12-Three-Dimensional-Plotting.ipynb) \n- [ ] 第53天：[Matplotlib 地理图绘制](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.13-Geographic-Data-With-Basemap.ipynb) \n- [ ] 第54天：[Matplotlib 与Seaborn碰撞](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fmatplotlib\u002F04.14-Visualization-With-Seaborn.ipynb) \n\n**Numpy** \n\n- [ ] 第55天：[Numpy 基础1](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdata_analysis\u002FNumPy.ipynb) \n- [ ] 第56天：[Numpy 基础2](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fnumpy\u002Fnumpy.ipynb) \n- [ ] 第57天：[Numpy 数据类型介绍](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fnumpy\u002F02.01-Understanding-Data-Types.ipynb) \n- [ ] 第58天：[Numpy 数列Array](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fnumpy\u002F02.02-The-Basics-Of-NumPy-Arrays.ipynb) \n- [ ] 第59天：[Numpy 转置](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdata_analysis\u002Ftranspose.ipynb) \n- [ ] 第60天：[Numpy 常用计算](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fnumpy\u002F02.03-Computation-on-arrays-ufuncs.ipynb) \n- [ ] 第61天：[Numpy 聚合](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fnumpy\u002F02.04-Computation-on-arrays-aggregates.ipynb) \n- [ ] 第62天：[Numpy 数列计算](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fnumpy\u002F02.05-Computation-on-arrays-broadcasting.ipynb) \n- [ ] 第63天：[Numpy 比较，掩码和布尔逻辑](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fnumpy\u002F02.06-Boolean-Arrays-and-Masks.ipynb) \n- [ ] 第64天：[Numpy 花式索引](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fnumpy\u002F02.07-Fancy-Indexing.ipynb) \n- [ ] 第65天：[Numpy 数组排序](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fnumpy\u002F02.08-Sorting.ipynb) \n- [ ] 第66天：[Numpy 结构化数组](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fnumpy\u002F02.09-Structured-Data-NumPy.ipynb) \n\n**待续...** \n\n- [ ] 第67天：数据标准化，正则化，\n- [ ] 第68天：One-Hot 编码\n\n### 第三期：机器学习\n\n##### 课程列表\n\n- [ ] [机器学习简介：分类、聚类等](https:\u002F\u002Fjakevdp.github.io\u002FPythonDataScienceHandbook\u002F05.01-what-is-machine-learning.html) \n- [ ] [scikit-learn 简单介绍](https:\u002F\u002Fjakevdp.github.io\u002FPythonDataScienceHandbook\u002F05.02-introducing-scikit-learn.html) \n- [ ] [scikit-learn KNN](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fscikit-learn\u002Fscikit-learn-intro.ipynb) \n- [ ] [scikit-learn 线性回归 demo1](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fscikit-learn\u002Fscikit-learn-linear-reg.ipynb) \n- [ ] [scikit-learn 线性回归 demo2](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdata_analysis\u002FLinear_Regression.ipynb) \n- [ ] [scikit-learn 逻辑回归](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fmachine_learning\u002FLogistic_Regression.ipynb) \n- [ ] [scikit-learn Naive Bayes Classification](https:\u002F\u002Fjakevdp.github.io\u002FPythonDataScienceHandbook\u002F05.05-naive-bayes.html) \n- [ ] [scikit-learn 支持向量机 SVM](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fscikit-learn\u002Fscikit-learn-svm.ipynb) \n- [ ] [scikit-learn 随机森林 Random Forest 1](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fscikit-learn\u002Fscikit-learn-random-forest.ipynb) \n- [ ] [scikit-learn 随机森林 Random Forest 2](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fmachine_learning\u002FRandom_Forests.ipynb) \n- [ ] [scikit-learn K-Means](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fscikit-learn\u002Fscikit-learn-k-means.ipynb) \n- [ ] [scikit-learn PCA](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fscikit-learn\u002Fscikit-learn-pca.ipynb) \n- [ ] [scikit-learn 高斯混合模型](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fscikit-learn\u002Fscikit-learn-gmm.ipynb) \n- [ ] [scikit-learn 模型验证和模型选择](https:\u002F\u002Fnbviewer.jupyter.org\u002Fgithub\u002Fdonnemartin\u002Fdata-science-ipython-notebooks\u002Fblob\u002Fmaster\u002Fscikit-learn\u002Fscikit-learn-validation.ipynb) \n- [ ] [实战项目：人脸检测](https:\u002F\u002Fjakevdp.github.io\u002FPythonDataScienceHandbook\u002F05.14-image-features.html) \n- [ ] adaboost\n- [ ] xgboost\n- [ ] bagging, boosting\n- [ ] LightGBM\n- [ ] LDA\n- [ ] 实战项目 - 影评分类\n- [ ] bonus：Auto ML- auto sklearn\n- [ ] [超参数和模型验证](https:\u002F\u002Fjakevdp.github.io\u002FPythonDataScienceHandbook\u002F05.03-hyperparameters-and-model-validation.html) \n- [ ] 损失函数\n- [ ] 目标函数\n- [ ] 交叉检验\n- [ ] 拆分训练集、测试集\n- [ ] 数据增强\n- [ ] 模型集成\n- [ ] 评估指标\n- [ ] 实战项目：信贷信用评分\n\n\n\n### 第四期：深度学习 [即将推出...]\n\n##### 课程列表\n\n- [ ] Tensorflow, 运行demo\n- [ ] Keras, 运行demo\n- [ ] [Pytorch](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdeep_learning\u002F07_PyTorch.ipynb) \n- [ ] [60分钟入门Pytorch 深度学习](https:\u002F\u002Fpytorch.org\u002Ftutorials\u002Fbeginner\u002Fdeep_learning_60min_blitz.html) \n- [ ] [多层感知机](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdeep_learning\u002F08_Multilayer_Perceptron.ipynb) \n- [ ] [CNN, 运行demo](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdeep_learning\u002F11_Convolutional_Neural_Networks.ipynb) \n- [ ] [CS231n Convolutional Neural Networks for Visual Recognition](https:\u002F\u002Fcs231n.github.io\u002F) \n- [ ] [RNN, 运行demo](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdeep_learning\u002F13_Recurrent_Neural_Networks.ipynb) \n- [ ] [高级RNN](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdeep_learning\u002F14_Advanced_RNNs.ipynb) \n- [ ] GAN\n- [ ] 实战项目\n\n\n\n### 第五期：毕业项目 kaggle实战 [即将推出...]\n\n##### 课程列表\n\n- [ ] 自然语言：有一个嵌入层的介绍\n- [ ] NLP实战1：情感分析\n- [ ] NLP实战2：qa匹配\n- [ ] 数据挖掘：santander customer transaction prediction\n- [ ] 计算机视觉：mnist\n- [ ] [计算机视觉](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fmachine_learning_diary\u002Fdeep_learning\u002F15_Computer_Vision.ipynb) \n\n\n\n### NLP篇：自然语言处理 [即将推出...]\n\n##### 课程列表\n\n- [ ] word2vec\n- [ ] word cloud\n- [ ] 文本相似性\n- [ ] ...\n\n### 成长篇：程序员的自我修养\n\n出自 [Leo Hui](https:\u002F\u002Fgithub.com\u002Fleohxj)\n\n- [介绍](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Findex.html) \n- **1.** 程序员基础知识\n  - [**1.1.** 字符编码](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fprogrammer-basic\u002Fcharacter-encoding.html)\n  - [**1.2.** 技术名词](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fprogrammer-basic\u002Ftechnical-terms.html)\n  - [**1.3.** 语义化版本](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fprogrammer-basic\u002Fsemantic-versioning.html)\n  - [**1.4.** 命名规范](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fprogrammer-basic\u002Fnaming.html)\n  - [**1.5.** 书写文档](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fprogrammer-basic\u002Fwrite-document.html)\n  - [**1.6.** 开源协议](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fprogrammer-basic\u002Fopen-source-license.html)\n  - [**1.7.** 目录结构](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fprogrammer-basic\u002Fdirectory.html)\n  - [**1.8.** 正则表达式](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fprogrammer-basic\u002Fregular-expression.html)\n  - [**1.9.** 平凡之路](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fprogrammer-basic\u002Fordinary-road.html)\n- **2.** 数据结构与算法\n  - [**2.1.** 堆和栈](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fdata-structures-and-algorithm\u002Fheap-and-stack.html)\n  - [**2.2.** 浮点数类型](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fdata-structures-and-algorithm\u002Fdata-structure-float.html)\n  - [**2.3.** XML和JSON](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fdata-structures-and-algorithm\u002Fxml-and-json.html)\n  - [**2.4.** 算法学习之路](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fdata-structures-and-algorithm\u002Flearning-road.html)\n  - [**2.5.** 排序算法](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fdata-structures-and-algorithm\u002Fsort-algorithm.html)\n- **3.** 代码架构\n  - **3.1.** 设计模式\n    - [**3.1.1.** 常用的Javascript设计模式](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Farchitecture\u002Fdesign-pattern\u002Fdesign-pattern-js.html)\n  - **3.2.** 面向对象编程\n    - [**3.2.1.** 继承](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Farchitecture\u002Fobject-oriented-programming\u002Finheritance.html)\n    - [**3.2.2.** 多态](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Farchitecture\u002Fobject-oriented-programming\u002Fpolymorphism.html)\n    - [**3.2.3.** 封装](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Farchitecture\u002Fobject-oriented-programming\u002Fencapsulation.html)\n  - [**3.3.** 面向接口编程](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Farchitecture\u002Finterface-oriented-programming\u002Findex.html)\n- **4.** 代码评审\n  - [**4.1.** 六种量化你代码的方式](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fcode-review\u002F6-ways-to-quantify-your-code.html)\n  - [**4.2.** 程序员必备的代码审查（Code Review）清单](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fcode-review\u002Fcode-review-list.html)\n- **5.** 服务器部署\n  - [**5.1.** AWS简介](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fdeploy\u002Faws-intro.html)\n- **6.** 网络知识\n  - [**6.1.** HTTPS, SPDY和 HTTP\u002F2性能的简单对比](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fnetworks\u002Fa-simple-performance-comparison-of-https-spdy-and-http2.html)\n  - [**6.2.** HTTP状态码](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fnetworks\u002Fhttp-status-code.html)\n- **7.** 懂点设计\n  - [**7.1.** 佳作赏析](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fdesign\u002Fappreciate.html)\n  - [**7.2.** 无缝平铺](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fdesign\u002Finfinite-tile.html)\n  - [**7.3.** Sketch学习](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fdesign\u002Flearning-sketch.html)\n  - [**7.4.** 设计与实现的平衡](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fdesign\u002Fbalance-design-and-realize.html)\n- **8.** 写点东西\n  - [**8.1.** 使用gitbook](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fwriting\u002Fusing-gitbook.html)\n- **9.** 合格的PM\n  - [**9.1.** 一个好的产品经理](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fpm\u002Fgood-product-manager.html)\n  - [**9.2.** 产品经理的技能](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fpm\u002Fpm-skills.html)\n- **10.** 团队合作\n  - [**10.1.** 关于招聘](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fteamwork\u002Fhiring.html)\n  - [**10.2.** 培训新人](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fteamwork\u002Ftraining.html)\n  - [**10.3.** 领导能力](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fteamwork\u002Fleader.html)\n- **11.** 获取知识\n  - [**11.1.** MOOC](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fknowledge\u002Flearning-mooc.html)\n  - [**11.2.** Podcasts](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fknowledge\u002Fpodcasts.html)\n  - [**11.3.** 英语学习](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fknowledge\u002Flearning-english.html)\n  - [**11.4.** 设计学习](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fknowledge\u002Flearning-design.html)\n  - [**11.5.** 前端学习](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fknowledge\u002Flearning-front-end.html)\n  - [**11.6.** iOS学习](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fknowledge\u002Flearning-ios.html)\n  - [**11.7.** 游戏开发](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fknowledge\u002Flearning-games.html)\n- **12.** 关注健康\n  - [**12.1.** 过劳检测](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fhealthy\u002Fdetect-overwork.html)\n  - [**12.2.** 关于睡眠](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fhealthy\u002Fabout-sleep.html)\n- **13.** 提升效率\n  - [**13.1.** 学会阅读](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fhow-to-read.html)\n  - [**13.2.** 学会提问](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fhow-to-ask.html)\n  - [**13.3.** 善用搜索](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fhow-to-search.html)\n  - [**13.4.** 学会写作](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fhow-to-write.html)\n  - [**13.5.** 科学上网](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fgreat-fire-wall.html)\n  - [**13.6.** 突破内网](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fbreak-through-intranet.html)\n  - [**13.7.** 时间管理](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fmange-time.html)\n  - [**13.8.** 知识管理](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fmange-knowledge.html)\n  - [**13.9.** 文件管理](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fmange-files.html)\n  - [**13.10.** 密码管理](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fmange-password.html)\n  - [**13.11.** 制作视频](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fshare-with-video.html)\n  - [**13.12.** 制作PPT](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fshare-with-slide.html)\n  - [**13.13.** 论音乐对效率的影响](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fmusic-vs-efficiency.html)\n  - [**13.14.** 程序员效率指南](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Feffciency\u002Fcoder-guide.html)\n- **14.** SOHO\n  - [**14.1.** 创业资源](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoho\u002Fresource.html)\n- **15.** Hacker\n  - [**15.1.** 保护隐私](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fhacker\u002Fprotect-privacy.html)\n- **16.** 关于工作\n  - [**16.1.** 找工作前需要思考的问题](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Foffer\u002Fbefore-find-offer.html)\n  - [**16.2.** 原则与技巧](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Foffer\u002Finterview-principle-and-skill.html)\n  - [**16.3.** 关于简历](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Foffer\u002Fabout-resume.html)\n- **17.** 其他方面\n  - [**17.1.** 硬件相关](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fothers\u002Fhardware.html)\n- **18.** 常用软件\n  - **18.1.** Windows\n    - [**18.1.1.** 硬件配置](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fwindows\u002Fhardware.html)\n    - [**18.1.2.** 系统安装](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fwindows\u002Finstall-windows.html)\n    - [**18.1.3.** 常用软件](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fwindows\u002Fsoftware-list.html)\n  - **18.2.** Mac\n    - [**18.2.1.** 通用设置](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fsetting.html)\n    - [**18.2.2.** 权限问题](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fpermissions.html)\n    - [**18.2.3.** alias设置](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Falias.html)\n    - **18.2.4.** 常用软件\n      - [**18.2.4.1.** iTerm2](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fsoftwares\u002FiTerm2.html)\n      - [**18.2.4.2.** brew](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fsoftwares\u002Fbrew.html)\n      - [**18.2.4.3.** zsh](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fsoftwares\u002Fzsh.html)\n      - [**18.2.4.4.** 1Password](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fsoftwares\u002F1Password.html)\n      - [**18.2.4.5.** TextExpander](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fsoftwares\u002FTextExpander.html)\n      - [**18.2.4.6.** 欧陆词典](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fsoftwares\u002FeuDic.html)\n      - [**18.2.4.7.** popClip](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fsoftwares\u002FpopClip.html)\n      - [**18.2.4.8.** manico](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fsoftwares\u002Fmanico.html)\n      - [**18.2.4.9.** 窗口管理器](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fsoftwares\u002Fwindow-management.html)\n      - [**18.2.4.10.** BetterTouchTool](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fsoftwares\u002Fbettertouchtool.html)\n    - [**18.2.5.** 开发环境](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fdevelop-environment.html)\n    - [**18.2.6.** 快捷键设置](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fshortcuts.html)\n    - [**18.2.7.** 常用终端命令](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fusefully-command.html)\n    - [**18.2.8.** dotfiles](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fmac\u002Fdotfiles.html)\n  - **18.3.** Android\n    - [**18.3.1.** 常用软件](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fandroid\u002Fsoftware-list.html)\n    - [**18.3.2.** 如何登录美国区GooglePlay](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fandroid\u002Fgoogle-play.html)\n  - **18.4.** 开发工具\n    - [**18.4.1.** git](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fdevelop-tool\u002Fgit.html)\n    - [**18.4.2.** EditorConfig](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fdevelop-tool\u002Feditor-config.html)\n    - [**18.4.3.** node](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fdevelop-tool\u002Fnode.html)\n    - [**18.4.4.** shadowsocks](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fdevelop-tool\u002Fshadowsocks.html)\n    - [**18.4.5.** ST3--Windows篇](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fdevelop-tool\u002Fwindows-sublimetext3.html)\n    - [**18.4.6.** ST3--Mac篇](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fdevelop-tool\u002Fmac-sublimetext3.html)\n    - [**18.4.7.** gulp](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fdevelop-tool\u002Fgulp.html)\n    - [**18.4.8.** 字体的选择](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fdevelop-tool\u002Ffonts.html)\n    - [**18.4.9.** Emacs](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fdevelop-tool\u002Femacs.html)\n    - [**18.4.10.** WebStorm](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fdevelop-tool\u002Fwebstorm.html)\n    - [**18.4.11.** tmux](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fdevelop-tool\u002Ftmux.html)\n  - **18.5.** Sketch\n    - [**18.5.1.** Sketch中文学习资料](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fsketch\u002FAwesome-Sketch.html)\n  - **18.6.** Trello\n    - [**18.6.1.** 使用Trello管理项目的经验](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Ftrello\u002Fuse-trello-manage-project.html)\n  - **18.7.** git进阶\n    - [**18.7.1.** 15分钟学会使用Git和远程代码库](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fgit\u002Fgetting-start.html)\n    - [**18.7.2.** GitHub秘籍](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fsoftware\u002Fgit\u002Fgithub-cheat-sheet.html)\n  - **18.8.** JetBrains\n    - [**18.8.1.** IDE设置](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002FJetBrains\u002Fide-setting.html)\n- **19.** 附录\n  - [**19.1.** 计算机科学与技术](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fappendix\u002Fcomputer-science.html)\n  - [**19.2.** 网站](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fappendix\u002Fwebsites.html)\n  - [**19.3.** 书籍](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fappendix\u002Fbooks.html)\n  - [**19.4.** 工具](https:\u002F\u002Fleohxj.gitbooks.io\u002Fa-programmer-prepares\u002Fcontent\u002Fappendix\u002Ftools.html)\n\n### 课外项目：基于Python的经典空气动力学 \n\n该*AeroPython* （空气动力学，流体力学，MAE-6226）是由洛雷纳·A·巴巴教授在乔治·华盛顿大学的课程核心。\r\n\r\n![](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Fgirls-in-ai_Girls-In-AI_readme_012b68879fb5.png)\r\n\r\n##### 课程列表\r\n\r\n**模块1.潜在流程的构建块** \r\n\r\n1. [源与汇](http:\u002F\u002Fnbviewer.ipython.org\u002Furls\u002Fgithub.com\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F01_Lesson01_sourceSink.ipynb) \r\n2. [自由流中的源和汇](http:\u002F\u002Fnbviewer.ipython.org\u002Furls\u002Fgithub.com\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F02_Lesson02_sourceSinkFreestream.ipynb) \r\n3. [成对的东西](http:\u002F\u002Fnbviewer.ipython.org\u002Furls\u002Fgithub.com\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F03_Lesson03_doublet.ipynb)\r\n4. [分配：翼型上的源分布](http:\u002F\u002Fnbviewer.ipython.org\u002Fgithub\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F03_Lesson03_Assignment.ipynb)\r\n\r\n**模块2.潜在的涡流和升力** \r\n\r\n1. [涡流](http:\u002F\u002Fnbviewer.ipython.org\u002Furls\u002Fgithub.com\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F04_Lesson04_vortex.ipynb)\r\n2. [无限排的漩涡](http:\u002F\u002Fnbviewer.ipython.org\u002Furls\u002Fgithub.com\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F05_Lesson05_InfiniteRowOfVortices.ipynb)\r\n3. [气缸上的涡旋升降机](http:\u002F\u002Fnbviewer.ipython.org\u002Furls\u002Fgithub.com\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F06_Lesson06_vortexLift.ipynb)\r\n4. [作业：Joukowski转型](http:\u002F\u002Fnbviewer.ipython.org\u002Fgithub\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F06_Lesson06_Assignment.ipynb)\r\n\r\n**模块3.非升力体的源面板方法** \r\n\r\n1. [图像方法](http:\u002F\u002Fnbviewer.ipython.org\u002Furls\u002Fgithub.com\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F07_Lesson07_methodOfImages.ipynb)\r\n2. [资料表](http:\u002F\u002Fnbviewer.ipython.org\u002Furls\u002Fgithub.com\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F08_Lesson08_sourceSheet.ipynb)\r\n3. [流过带有源面板的圆柱体](http:\u002F\u002Fnbviewer.ipython.org\u002Furls\u002Fgithub.com\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F09_Lesson09_flowOverCylinder.ipynb)\r\n4. [源面板方法](http:\u002F\u002Fnbviewer.ipython.org\u002Furls\u002Fgithub.com\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F10_Lesson10_sourcePanelMethod.ipynb)\r\n\r\n**模块4.用于升力体的涡旋源面板方法** \r\n\r\n1. [涡源面板法](http:\u002F\u002Fnbviewer.ipython.org\u002Furls\u002Fgithub.com\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F11_Lesson11_vortexSourcePanelMethod.ipynb)\r\n2. [练习：推导涡旋源面板方法](http:\u002F\u002Fnbviewer.ipython.org\u002Fgithub\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F11_Lesson11_Exercise.ipynb)\r\n3. [任务：2D多组件翼型](http:\u002F\u002Fnbviewer.ipython.org\u002Fgithub\u002Fbarbagroup\u002FAeroPython\u002Fblob\u002Fmaster\u002Flessons\u002F11_Lesson11_Assignment.ipynb) \r\n\r\n\r\n\r\n## GIA求职篇：面试题 + 简历\r\n\r\n##### 简历\r\n\r\n- [x] [100份沃顿商学院简历](https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Fblob\u002Fmaster\u002Fresume\u002Fwharton\u002FWharton_Resume.pdf) \r\n\r\n\r\n\r\n## Girls-In-AI Scholarship 奖学金计划\r\n\r\n这个计划为什么叫Girls-In-AI?\r\n\r\n社会有强弱，技术无性别。我想鼓励更多的女孩子们加入到科技行业，从事社会地位高的有意思的工作。所以2019年的奖学金就是面向女生的。最少的是我投入的500rmb。如果受到支持，会加大奖学金额，上不封顶。同时，欢迎任何对这个项目的赞助与支持，将会公开赞助金额超过100rmb的名单。\r\n\r\n另外，这个计划所有的课程都免费。对！免费！如果你没钱报外面三五万的水培训班，而你恰好有时间学，欢迎你来！\r\n\r\n\r\n\r\n#### Scholarship Criteria 奖学金评定规则\r\n\r\n原则\r\n\r\n- [x] 鼓励大家一起营造GIA积极向上的社区氛围\r\n- [x] 鼓励大家互帮互助，培养起自己动手解决问题的能力\r\n\r\n规则\r\n\r\n- [x] **40% 维护学习氛围**： 上课\u002F作业打卡 + 笔记分享\r\n- [x] **60% 贡献社区**：帮助解答 + 有效issue + 优质pull request\r\n\r\n\r\n\r\n#### Donation Rules 捐赠步骤\r\n\r\n1. 任何捐助金额，转账给微信二维码：\r\n\r\n   \u003Cimg src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Fgirls-in-ai_Girls-In-AI_readme_169ef2f19602.png\" width = 30% height = 30%\u002F> \r\n\r\n2. 在备注中留下 **[GIA]** 标识和你想在捐助名单出现的名字或者其他说明。你可以选择：\r\n\r\n   - [ ] 是否隐藏金额\r\n   - [ ] 是否隐藏姓名\r\n\r\n\r\n如有任何兴趣或者疑问请微博私信联系[@Girls-In-AI](https:\u002F\u002Fm.weibo.cn\u002Fprofile\u002F2650740963) ，再次感谢大家👏\r\n\r\n\r\n\r\n#### Donation List 捐赠人名单\r\n\r\n目前奖学金一共有 1000 rmb\r\n\r\n2019-1-4\t微博@CodeWithZhangYi\t支持金 ￥500\r\n\r\n2019-1-8\t微博网友：小悟空\t支持金 ￥100\r\n\r\n2019-1-8\t微博网友：悦\t\t支持金 ￥200\r\n\r\n2019-2-3\t微博网友：小悟空\t支持金 ￥200\r\n\r\n\r\n\r\n## Girls-In-AI 出征计划\r\n\r\n这只是我不成熟的小想法，我希望Girls-In-AI能起到一定的公益作用。等到Girls-In-AI 养成之后，我会在微博呼吁大家，毕竟人多力量大。可能开展的项目：\r\n\r\n- 帮助简历修改，面试题分享\r\n- 与公益活动合作，组织大家为公益项目免费写代码【有任何组织想合作欢迎联系】\r\n- ......\r\n\r\n\r\n\r\n## Join Girls-In-AI\r\n\r\nGIA不是教科书，我想让编程这件事简单一些，重在培养一些兴趣。已经有很多朋友反馈因为GIA敲下人生第一行代码，也因此对编程越来越感兴趣。如果我的坚持能带给你力量，那么我告诉你，我会一直坚持下去！\r\n\r\n\r\n\r\nGIA面向的人群：\r\n\r\n- [x] 渴望知识的学生\r\n- [x] 跨领域转岗想做了解的在职人士\r\n- [x] 编程零基础小白，这里有完整的学习路径，指导你从头开始掌握新技能\r\n\r\n\r\n\r\n喜欢的话，就star点亮Girls-In-AI吧！欢迎积极的issue和pr！\r\n\r\n**Please, feel free to make any contributions you feel will make it better.** \r\n\r\n**Let's see what we can do.🤞**","# Girls-In-AI 快速上手指南\n\n**Girls-In-AI (GIA)** 是一个面向编程零基础的 AI 算法工程师养成计划。本指南将帮助你快速搭建学习环境，开启从 Python 入门到数据分析的进阶之路。\n\n## 环境准备\n\n在开始学习之前，请确保你的计算机满足以下要求：\n\n*   **操作系统**：Windows 或 MacOS\n*   **核心工具**：Anaconda (包含 Python 3 及 Jupyter Notebook)\n*   **版本要求**：Python 3.x\n\n> **提示**：本项目采用 `learn by doing` 模式，所有课程代码均在 Jupyter Notebook 中运行。\n\n## 安装步骤\n\n### 1. 安装 Anaconda\nAnaconda 是管理 Python 环境和包的最佳工具，已预装本课程所需的绝大多数库。\n\n*   **下载地址**：访问 [Anaconda 官网](https:\u002F\u002Fwww.anaconda.com\u002Fproducts\u002Fdistribution) 下载对应系统的安装包。\n    *   *国内加速*：推荐使用 [清华大学开源软件镜像站](https:\u002F\u002Fmirrors.tuna.tsinghua.edu.cn\u002Fanaconda\u002Farchive\u002F) 下载历史版本，速度更快。\n*   **安装操作**：\n    *   **Windows**: 双击 `.exe` 文件，按向导默认安装（建议勾选 \"Add Anaconda to my PATH environment variable\" 若不确定可保持默认，后续使用 Anaconda Prompt）。\n    *   **MacOS**: 双击 `.pkg` 文件或终端运行 `.sh` 脚本按提示安装。\n\n### 2. 验证安装\n打开终端（MacOS）或 Anaconda Prompt \u002F CMD（Windows），输入以下命令检查 Python 和 Jupyter 是否可用：\n\n```bash\npython --version\njupyter notebook --version\n```\n\n### 3. 获取项目代码\n克隆或下载 Girls-In-AI 仓库到本地：\n\n```bash\ngit clone https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI.git\n```\n\n或者直接在 GitHub 页面点击 \"Code\" -> \"Download ZIP\" 解压。\n\n## 基本使用\n\n### 1. 启动 Jupyter Notebook\n进入项目目录并启动服务：\n\n```bash\ncd Girls-In-AI\u002Fmachine_learning_diary\njupyter notebook\n```\n\n执行后浏览器会自动打开，显示目录结构。\n\n### 2. 开始第一课\n在浏览器界面中，依次进入以下路径开始学习：\n*   **Python 入门**：进入 `base` 文件夹，点击 `Day-1` 至 `Day-19` 的 `.md` 或 `.ipynb` 文件。\n*   **数据分析**：进入 `data_analysis` 文件夹，学习 Pandas、Matplotlib 和 Numpy 相关课程。\n\n### 3. 运行示例代码\n以 **Day-1: 初识 Python** 为例，在对应的 Notebook 单元格中输入以下代码并运行（按 `Shift + Enter`）：\n\n```python\nprint(\"Hello, Girls-In-AI!\")\nprint(\"Coding is the new sexy.\")\n```\n\n**输出结果：**\n```text\nHello, Girls-In-AI!\nCoding is the new sexy.\n```\n\n### 4. 学习进度说明\n*   **[x]**：表示该课程已有中文教程（熟肉），可直接学习。\n*   **[ ]**：表示该课程目前为英文资料或未完结（生肉），供参考进阶。\n*   建议按照 `Day-0` 到 `Day-68+` 的顺序循序渐进，完成从环境配置、Python 基础到机器学习实战的全过程。","市场营销专业的大二学生小雅想转行做数据分析师，但面对复杂的编程环境和高昂的学习成本感到无从下手。\n\n### 没有 Girls-In-AI 时\n- **环境配置劝退**：在安装 Python、Anaconda 和配置环境变量时频频报错，因缺乏基础排查能力，还没开始写代码就卡在 Day 0。\n- **学习路径混乱**：网上教程碎片化严重，不知道先学变量还是直接跳去机器学习，导致知识体系支离破碎，难以形成逻辑闭环。\n- **心理门槛过高**：周围缺乏同性榜样，潜意识认为“女生不适合搞技术”，遇到 Bug 容易自我怀疑，最终放弃尝试。\n- **实战脱节**：只懂理论语法，面对真实的 Excel 数据清洗或 DataFrame 操作时，无法将知识点转化为解决实际问题的代码。\n\n### 使用 Girls-In-AI 后\n- **保姆级环境搭建**：跟随\"Day-2 环境变量配置”和\"Jupyter 多种打开方式”等图文教程，顺利在 Windows 上跑通第一个 Hello World，跨越入门第一道坎。\n- **阶梯式成长日记**：依托 ML-Diary 系列，从数据类型到异常处理再到文件读写，每天进步一点点，系统化构建起完整的 Python 知识树。\n- **社群信念支撑**：看到\"Coding is the new sexy\"的口号及众多女性前辈的成长轨迹，建立起“我也能成为 AI 工程师”的自信，敢于在 Issue 区提问。\n- **学以致用实战**：通过\"Day-18 下载保存 Excel\"和\"Day-17 初识 DataFrame\"等实战课，迅速将课堂所学应用于课程作业的数据分析中，产出实际成果。\n\nGirls-In-AI 不仅提供了一套从零开始的硬核技术路线图，更用女性社区的力量打破了心理壁垒，让零基础学习者能自信地站在科技食物链的上游。","https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Fgirls-in-ai_Girls-In-AI_103f64d2.jpg","girls-in-ai","https:\u002F\u002Foss.gittoolsai.com\u002Favatars\u002Fgirls-in-ai_3fa3d11e.jpg","鼓励女性编程",null,"597426363@qq.com","http:\u002F\u002Fgirlsinai.com\u002F","https:\u002F\u002Fgithub.com\u002Fgirls-in-ai",[80],{"name":81,"color":82,"percentage":83},"Jupyter Notebook","#DA5B0B",100,3358,497,"2026-04-17T11:37:54","Windows, macOS","未说明",{"notes":90,"python":91,"dependencies":92},"该项目主要面向零基础初学者，推荐使用 Anaconda 管理环境并通过 Jupyter Notebook 运行课程代码。内容涵盖 Python 基础、数据分析（Pandas\u002FMatplotlib\u002FNumpy）及机器学习入门（scikit-learn），未提及深度学习框架或 GPU 加速需求。","3.x",[93,81,94,95,96,97],"Anaconda","Pandas","Matplotlib","Numpy","scikit-learn",[14],[100,101,102,103,104,105],"machine-learning","deep-learning","girl","python3","kaggle","jupyter-notebook","2026-03-27T02:49:30.150509","2026-04-20T19:45:54.434405",[109,114,119,124,129,134],{"id":110,"question_zh":111,"answer_zh":112,"source_url":113},45275,"在哪里可以找到具体的课程内容？","请点击链接进入包含 'day-1\u002Fday-2\u002F...' 字样的文件夹查看。这是 ML-Diary 系列课程，正在不断更新中。课程地址：https:\u002F\u002Fgithub.com\u002FYZHANG1270\u002FGirls-In-AI\u002Ftree\u002Fmaster\u002Fmachine_learning_diary","https:\u002F\u002Fgithub.com\u002Fgirls-in-ai\u002FGirls-In-AI\u002Fissues\u002F9",{"id":115,"question_zh":116,"answer_zh":117,"source_url":118},45274,"男生可以学习这个课程吗？","当然可以，该项目虽然名为 Girls-In-AI，但欢迎所有性别的学习者参与。","https:\u002F\u002Fgithub.com\u002Fgirls-in-ai\u002FGirls-In-AI\u002Fissues\u002F6",{"id":120,"question_zh":121,"answer_zh":122,"source_url":123},45276,"如何正确访问微博链接以避免被引导下载客户端？","请使用特定格式的 URL 链接（例如：https:\u002F\u002Fweibo.com\u002F3340707810\u002FGBryiyz3T），这样在电脑和手机上都能直接打开内容，而不会被引导下载微博手机客户端。","https:\u002F\u002Fgithub.com\u002Fgirls-in-ai\u002FGirls-In-AI\u002Fissues\u002F44",{"id":125,"question_zh":126,"answer_zh":127,"source_url":128},45277,"Pandas 教程中提到的 titanic.csv 原始数据从哪里获取？","如果是按顺序学习，Day-23 使用的 Titanic.csv 数据来源是 Day-21 的作业输出结果。","https:\u002F\u002Fgithub.com\u002Fgirls-in-ai\u002FGirls-In-AI\u002Fissues\u002F43",{"id":130,"question_zh":131,"answer_zh":132,"source_url":133},45278,"Jupyter Notebook 创建 Python 笔记本时报错 \"Creating Notebook Failed\" 如何解决？","尝试重新在 Jupyter Notebook 中打开或启动 Python 环境，通常问题会暂时解决并恢复正常。如果问题持续，建议检查 Python 内核配置。","https:\u002F\u002Fgithub.com\u002Fgirls-in-ai\u002FGirls-In-AI\u002Fissues\u002F46",{"id":135,"question_zh":136,"answer_zh":137,"source_url":138},45279,"项目还会继续更新吗？","是的，项目会持续更新，请放心关注。","https:\u002F\u002Fgithub.com\u002Fgirls-in-ai\u002FGirls-In-AI\u002Fissues\u002F42",[]]