{"id":18330326,"url":"https://github.com/jackfrued/python-for-data-analysis","last_synced_at":"2026-01-22T19:49:01.273Z","repository":{"id":204395817,"uuid":"625982205","full_name":"jackfrued/Python-for-Data-Analysis","owner":"jackfrued","description":null,"archived":false,"fork":false,"pushed_at":"2025-12-18T12:07:23.000Z","size":23699,"stargazers_count":31,"open_issues_count":0,"forks_count":7,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-12-21T18:09:51.840Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jackfrued.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-04-10T14:43:25.000Z","updated_at":"2025-12-18T12:07:27.000Z","dependencies_parsed_at":null,"dependency_job_id":"f7859f49-8a61-4d44-bd85-72d5866ae5b0","html_url":"https://github.com/jackfrued/Python-for-Data-Analysis","commit_stats":null,"previous_names":["jackfrued/python-for-data-analysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/jackfrued/Python-for-Data-Analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jackfrued%2FPython-for-Data-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jackfrued%2FPython-for-Data-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jackfrued%2FPython-for-Data-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jackfrued%2FPython-for-Data-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jackfrued","download_url":"https://codeload.github.com/jackfrued/Python-for-Data-Analysis/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jackfrued%2FPython-for-Data-Analysis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28669699,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-22T19:36:09.361Z","status":"ssl_error","status_checked_at":"2026-01-22T19:36:05.567Z","response_time":144,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-05T19:21:49.301Z","updated_at":"2026-01-22T19:49:01.268Z","avatar_url":"https://github.com/jackfrued.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"## Python-for-Data-Analysis\n\nPandas 2.0发布了，是时候把之前写的 Python 数据分析的教程重新整理一下了，顺便也探索一下 pandas 2.0 的新东西，跟 Polars 做一下比较。准备花两周时间把这套教程更新完，在花点时间对比下 Polars 以及其他工具。喜欢这套课程的小伙伴可以 Star 鼓励一下，非常感谢！Github 最近在国内访问确实让人难受，国内的小伙伴如果觉得这套课程还不错，可以看我在知乎专栏上的分享（[传送门](https://www.zhihu.com/column/c_1217746527315496960)），相关视频在B站上可以找到（[传送门](https://space.bilibili.com/1177252794/channel/collectiondetail?sid=502289)）。有付费学习咨询需求的小伙伴可以加入付费交流群，新用户可以通过下方二维码付费之后添加我的私人微信（微信号：**jackfrued**），然后邀请大家进入付费学习打卡群，添加微信时请备注好自己的称呼和需求，我会为大家提供力所能及的帮助。\n\n\u003cimg src=\"res/pay_qr_code.png\" style=\"zoom:38%;\"\u003e\n\n#### 01 - [数据分析概述](01.数据分析概述.md)\n\n1. 数据分析师的职责\n2. 数据分析师的技能栈\n3. 数据分析相关库\n\n#### 02 - [环境准备](02.环境准备.md)\n\n1. 安装和使用anaconda\n    - conda相关命令\n2. 安装和使用jupyter-lab\n    - 安装和启动\n    - 使用小技巧\n\n#### 03 - [NumPy的应用-1](03.NumPy的应用-1.md)\n\n1. 创建数组对象\n2. 数组对象的属性\n3. 数组对象的索引运算\n    - 普通索引\n    - 花式索引\n    - 布尔索引\n    - 切片索引\n4. 案例：使用数组处理图像\n\n#### 04 - [NumPy的应用-2](04.NumPy的应用-2.md)\n\n1. 数组对象的相关方法\n    - 获取描述性统计信息\n    - 其他相关方法\n\n#### 05 - [NumPy的应用-3](05.NumPy的应用-3.md)\n\n1. 数组的运算\n    - 数组跟标量的运算\n    - 数组跟数组的运算\n2. 通用一元函数\n3. 通用二元函数\n4. 广播机制\n5. Numpy常用函数\n\n#### 06 - [NumPy的应用-4](06.NumPy的应用-4.md)\n\n1. 向量\n2. 行列式\n3. 矩阵\n4. 多项式\n\n#### 07 - [深入浅出pandas-1](07.深入浅出pandas-1.md)\n\n1. 创建Series对象\n2. Series对象的运算\n3. Series对象的属性和方法\n\n#### 08 - [深入浅出pandas-2](08.深入浅出pandas-2.md)\n\n1. 创建DataFrame对象\n2. DataFrame对象的属性和方法\n3. 读写DataFrame中的数据\n\n#### 09 - [深入浅出pandas-3](09.深入浅出pandas-3.md)\n\n1. 数据重塑\n    - 数据拼接\n    - 数据合并\n2. 数据清洗\n    - 缺失值\n    - 重复值\n    - 异常值\n    - 预处理\n\n#### 10 - [深入浅出pandas-4](10.深入浅出pandas-4.md)\n\n1. 数据透视\n    - 获取描述性统计信息\n    - 排序和头部值\n    - 分组聚合\n    - 透视表和交叉表\n2. 数据呈现\n\n#### 11 - [深入浅出pandas-5](11.深入浅出pandas-5.md)\n\n1. 计算同比环比\n2. 窗口计算\n3. 相关性判定\n\n#### 12 - [深入浅出pandas-6](12.深入浅出pandas-6.md)\n\n1. 索引的使用\n    - 范围索引\n    - 分类索引\n    - 多级索引\n    - 间隔索引\n    - 日期时间索引\n\n#### 13 - [数据可视化-1](13.数据可视化-1.md)\n\n1. 安装和导入matplotlib\n2. 创建画布\n3. 创建坐标系\n4. 绘制图表\n    - 折线图\n    - 散点图\n    - 柱状图\n    - 饼状图\n    - 直方图\n    - 箱线图\n5. 显示和保存图表\n\n#### 14 - [数据可视化-2](14.数据可视化-2.md)\n\n1. 气泡图\n2. 面积图\n3. 雷达图\n4. 玫瑰图\n5. 3D图表\n\n#### 15 - [数据可视化-3](15.数据可视化-3.md)\n\n1. Seaborn\n2. Pyecharts\n\n#### 有用的资源\n\n1. [Jupyter快捷键参考手册](Jupyter-Shortcuts.pdf)\n2. [DataCamp的NumPy基础速查手册](DataCamp-NumPy-Basics-Cheat-Sheet.pdf)\n3. [DataCamp的Pandas速查手册](DataCamp-Pandas-Cheat-Sheet.pdf)\n4. [DataCamp的Matplotlib速查手册](DataCamp-Matplotlib-Cheat-Sheet.pdf)\n5. [Pandas数据清洗速查手册](Data-Wrangling-with-pandas-Cheat-Sheet.pdf)\n6. [Matplotlib应用速查手册](Matplotlib-Cheat-Sheets.pdf)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjackfrued%2Fpython-for-data-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjackfrued%2Fpython-for-data-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjackfrued%2Fpython-for-data-analysis/lists"}