# PythonDataScience-Collections

**Repository Path**: domestic-mot/PythonDataScience-Collections

## Basic Information

- **Project Name**: PythonDataScience-Collections
- **Description**: 最全数据分析资料汇总（含python、爬虫、数据库、大数据、tableau、统计学等）
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 2
- **Created**: 2025-08-11
- **Last Updated**: 2025-08-11

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 最全python数据分析资料汇总

含python、爬虫、数据库、大数据、可视化、机器学习、tableau、统计学、地理信息等

<img src="https://pic4.zhimg.com/80/v2-d88c6a5e4e8270e7bc7285f3a14dcce2_720w.png" width = "550" height = "150" alt="" style="zoom:75%;" />

**目录** 

- [一、Python基础](#%E4%B8%80python%E5%9F%BA%E7%A1%80)
- [二、Python资源](#%E4%BA%8Cpython%E8%B5%84%E6%BA%90)
- [三、Python爬虫](#%E4%B8%89python%E7%88%AC%E8%99%AB)
- [四、Python可视化](#%E5%9B%9Bpython%E5%8F%AF%E8%A7%86%E5%8C%96)
- [五、python数据分析](#%E4%BA%94python%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90)
- [六、python机器学习](#%E5%85%ADpython%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0)
- [七、数据库](#%E4%B8%83%E6%95%B0%E6%8D%AE%E5%BA%93)
- [八、Tableau](#%E5%85%ABtableau)
- [九、大数据](#%E4%B9%9D%E5%A4%A7%E6%95%B0%E6%8D%AE)
- [十、数理统计知识](#%E5%8D%81%E6%95%B0%E7%90%86%E7%BB%9F%E8%AE%A1%E7%9F%A5%E8%AF%86)
- [十一、量化](#%E5%8D%81%E4%B8%80%E9%87%8F%E5%8C%96)
- [十一、数据集/接口](#%E5%8D%81%E4%B8%80%E6%95%B0%E6%8D%AE%E9%9B%86%E6%8E%A5%E5%8F%A3)
- [十二、地理信息分析](#%E5%8D%81%E4%BA%8C%E5%9C%B0%E7%90%86%E4%BF%A1%E6%81%AF%E5%88%86%E6%9E%90)

---

## 一、Python基础

- [Python简明教程（Python3）](https://bop.mol.uno/) 
- [Python3.7.4官方中文文档](https://docs.python.org/zh-cn/3/tutorial/index.html) 
- [Python标准库中文版](https://docs.python.org/zh-cn/3/library/index.html#library-index)
- [廖雪峰 Python 3 中文教程](http://www.liaoxuefeng.com/wiki/0014316089557264a6b348958f449949df42a6d3a2e542c000) 
- [Python 3.3 官方教程中文版](http://www.pythondoc.com/pythontutorial3/index.html) 
- [Python3 Cookbook 中文版](https://python3-cookbook.readthedocs.io/zh_CN/latest/) 
- [IPython CookBook 英文版](https://ipython-books.github.io/) 
- [笨办法学 Python](http://old.sebug.net/paper/books/LearnPythonTheHardWay/) ([PDF](http://liam0205.me/attachment/Python/PyHardWay/Learn_Python_The_Hard_Way_zh-cn.pdf) [EPUB](https://www.gitbook.com/download/epub/book/wizardforcel/lpthw)) 
- [ Think Python 2e  最新版中文](http://codingpy.com/books/thinkpython2/) 
- [Python 核心编程 第二版 中文](https://wizardforcel.gitbooks.io/core-python-2e/content/) 
- [菜鸟教程 Python3基础](https://www.runoob.com/python3/python3-tutorial.html) 
- [W3cschool Python3基础](https://www.w3cschool.cn/python3/) 
- [Python最佳实践指南](http://pythonguidecn.readthedocs.io/zh/latest/) 
- [Python 精要教程](https://www.gitbook.com/book/wizardforcel/python-essential-tutorial/details) 
- [Python进阶 中文版](https://docs.pythontab.com/interpy/) 
- [中文 Python 笔记](https://github.com/lijin-THU/notes-python) 
- [莫烦python教程](https://morvanzhou.github.io/) 
- [The Hitchhiker's Guide to Python](https://docs.python-guide.org/) 
- [草根学 Python](https://github.com/TwoWater/Python) 
- [Python从入门到精通教程 视频（600集）](https://www.bilibili.com/video/av14184325/) 
- [Kaggle Python基础学习（英文）](https://www.kaggle.com/learn/python) 
- [李笑来-自学是门手艺-python教程](https://github.com/selfteaching/the-craft-of-selfteaching) 

## 二、Python资源

- [Python中文开发者社区](https://www.pythontab.com/) 
- [Python 资源大全中文版](https://zhuanlan.zhihu.com/p/52957088)
- [Python-100天从新手到大师（github）](https://github.com/jackfrued/Python-100-Days) 
- [GitHub上入门开发项目汇总（含Python）](https://github.com/521xueweihan/HelloGitHub) 
- [Python面试题-1](https://github.com/taizilongxu/interview_python) 
- [Python面试题-2](https://github.com/kenwoodjw/python_interview_question) 
- [Python面试题-3](https://github.com/JushuangQiao/Python-Offer)
- [Awesome Python Applications 酷炫Python小应用](https://github.com/mahmoud/awesome-python-applications) 
- [Python艺术二维码生成器](https://github.com/sylnsfar/qrcode) 
- [Python有趣脚本集合](https://github.com/injetlee/Python) 
- [Python数据结构和算法（英文）](https://github.com/keon/algorithms) 
- [Awesome Python Applications](https://github.com/mahmoud/awesome-python-applications) 
- [Python常见算法刷题](https://github.com/apachecn/Interview/tree/master/docs/Algorithm/Leetcode/Python) 
- [Python 第三方库whl文件下载](https://www.lfd.uci.edu/~gohlke/pythonlibs/#)

## 三、Python爬虫

- [awesome-spider 爬虫集合](https://github.com/facert/awesome-spider) 
- [python模拟登陆&爬虫](https://github.com/CriseLYJ/awesome-python-login-model) 
- [Python爬虫代理IP池(proxy pool)](https://github.com/jhao104/proxy_pool) 
- [Python入门网络爬虫之精华版](https://github.com/lining0806/PythonSpiderNotes) 
- [Python3网络爬虫实战](https://github.com/Jack-Cherish/python-spider) 
- [有趣的Python爬虫和Python数据分析小项目](https://github.com/Alfred1984/interesting-python) 
- [Python入门爬虫](https://github.com/lining0806/PythonSpiderNotes) 
- [Requests 英文文档](https://2.python-requests.org/en/master/) 
- [Requests 中文文档](https://2.python-requests.org//zh_CN/latest/) 
- [Scrapy 英文文档](https://docs.scrapy.org/en/latest/) 
- [Scrapy 中文文档](https://scrapy-chs.readthedocs.io/zh_CN/0.24/) 
- [Pyspider 英文文档](http://docs.pyspider.org/en/latest/) 
- [BeautifulSoup中文文档](https://www.crummy.com/software/BeautifulSoup/bs4/doc.zh/) 
- [BeautifulSoup英文文档](https://www.crummy.com/software/BeautifulSoup/bs4/doc/) 
- [Xpath教程](https://www.runoob.com/xpath/xpath-tutorial.html) 
- [selenium中文文档](https://selenium-python-zh.readthedocs.io/en/latest/)

## 四、Python可视化

- [seaborn 英文文档](http://seaborn.pydata.org/)
- [seaborn 中文文档](https://seaborn.apachecn.org/#/) 
- [matplotlib 英文文档](https://matplotlib.org/) 
- [matplotlib 中文文档（官方）](https://www.matplotlib.org.cn/)
- [matplotlib 中文文档](https://wizardforcel.gitbooks.io/matplotlib-user-guide/content/) （非官方）
- [pyecharts 中文文档（官方）](https://pyecharts.org/#/zh-cn/intro) 
- [plotly绘图官方教程 英文文档](https://plot.ly/python/) 
- [bokeh动态可视化教程 英文文档](https://bokeh.pydata.org/en/latest/)

## 五、python数据分析

- [pandas 英文文档](http://pandas.pydata.org/) 
- [pandas 中文文档（官方）](https://www.pypandas.cn/)
- [pandas 中文文档（非官方）](http://pandas.apachecn.org/) 
- [利用python进行数据分析 第二版（中文）](https://github.com/apachecn/pyda-2e-zh) 
- [numpy 英文文档](http://www.numpy.org/) 
- [numpy中文文档（官方）](https://www.numpy.org.cn/) 
- [numpy 中文文档（非官方）](http://numpy.apachecn.org/) 
- [numpy 100 练习题](https://github.com/rougier/numpy-100)
- [python科学计算笔记（英文）](https://github.com/jrjohansson/scientific-python-lectures) 
- [数据科学速查表（英文）](https://github.com/FavioVazquez/ds-cheatsheets) 
- [python data science handbook（python数据科学手册）](https://jakevdp.github.io/PythonDataScienceHandbook/) 
- [data science python notebook（数据科学python笔记）](https://github.com/donnemartin/data-science-ipython-notebooks)

## 六、python机器学习

- [AI Learning 机器学习实战 中文（GitHub 15000星）](https://github.com/apachecn/AiLearning) 
- [data-science-ipython-notebooks](https://github.com/donnemartin/data-science-ipython-notebooks) 
- [Kaggle 机器学习基础学习](https://www.kaggle.com/learn/overview) 
- [动手学深度学习](http://zh.d2l.ai/index.html) 
- [scikit-learn 英文文档](https://scikit-learn.org/stable/)
- [scikit-learn 中文文档](http://sklearn.apachecn.org/#/) 
- [xgboost 中文文档](https://xgboost.apachecn.org/#/) 
- [pytorch中文网](https://www.pytorchtutorial.com/) 
- [machine learning mastery 博客（英文）](https://machinelearningmastery.com/) 
- [机器学习笔记 英文](https://github.com/ageron/handson-ml) 
- [面向机器学习的特征工程](http://fe4ml.apachecn.org/#/) 
- [keras英文文档](https://keras.io/) 
- [keras中文文档](https://keras.io/zh/) 
- [TensorFlow Examples](https://github.com/aymericdamien/TensorFlow-Examples) 
- [面试-机器学习算法试题及讲解（中文）](https://github.com/imhuay/Algorithm_Interview_Notes-Chinese) 
- [机器学习100天练习（英文）](https://github.com/Avik-Jain/100-Days-Of-ML-Code) 
- [机器学习100天练习（中文）](https://github.com/MLEveryday/100-Days-Of-ML-Code) 
- [吴恩达-机器学习 视频（b站）](https://www.bilibili.com/video/av9912938?from=search&seid=11914534456869662293)
- [机器学习算法基础 视频（b站）](https://www.bilibili.com/video/av37947862?from=search&seid=11914534456869662293) 
- [吴恩达-神经网络和深度学习 视频（b站）](https://www.bilibili.com/video/av34661735?from=search&seid=9109291334133521229) 
- [李飞飞-深度学习与计算机视觉 视频（b站）](https://www.bilibili.com/video/av17741845?from=search&seid=9109291334133521229) 
- [kaggle等数据比赛TOP解决方案集合](https://github.com/Smilexuhc/Data-Competition-TopSolution) 
- [机器学习·深度学习·NLP 面试基础知识](https://github.com/NLP-LOVE/ML-NLP)

## **七、数据库**

- [21分钟MySQL入门教程](http://www.cnblogs.com/mr-wid/archive/2013/05/09/3068229.html) 
- [W3cschool SQL基础教程](http://www.w3school.com.cn/sql/index.asp) 
- [菜鸟教程 SQL基础](https://www.runoob.com/sql/sql-intro.html) 
- [易百教程 SQL基础](https://www.yiibai.com/sql/)
- [廖雪峰SQL教程](https://www.liaoxuefeng.com/wiki/1177760294764384) 
- [SQL在线手册](http://www.esk365.com/zxsc/datebase/sql/) 
- [SQL 在线速查手册](https://www.w3xue.com/manual/sql/) 
- [PL/SQL教程](https://www.oraclejsq.com/plsql/010200446.html) 
- [PL/SQL中文教程](https://plsql-tutorial.com/zh-CN/)
- [Oracle SQL Developer 入门](https://www.oracle.com/ocom/groups/public/@otn/documents/webcontent/229078_zhs.htm) 
- [MySQL 5.1参考中文手册](http://download.nust.na/pub6/mysql/doc/refman/5.1/zh/index.html) 
- [SQL 手册（github ）](https://github.com/apache/incubator-doris/wiki/Sql-Reference) 
- [Oracle SQL 语言文档](https://www.oracle.com/technetwork/cn/database/database-technologies/sql/documentation/index.html) 
- [SQL reference英文](http://doris.apache.org/guides/sql_reference.html) 
- [MySQL索引背后的数据结构及算法原理](http://blog.codinglabs.org/articles/theory-of-mysql-index.html) 
- [PostgreSQL 9.5.3 中文文档](http://www.postgres.cn/docs/9.5/index.html) 
- [NoSQL数据库笔谈](http://old.sebug.net/paper/databases/nosql/Nosql.html) 
- [The Little MongoDB Book](https://github.com/justinyhuang/the-little-mongodb-book-cn/blob/master/mongodb.md) 
- [The Little Redis Book](https://github.com/JasonLai256/the-little-redis-book/blob/master/cn/redis.md) 
- [Apache Spark 设计与实现](https://github.com/JerryLead/SparkInternals/tree/master/markdown) 
- [Kaggle SQL学习（英文）](https://www.kaggle.com/learn/intro-to-sql)

## 八、Tableau

- [Tableau官方学习平台（含视频、文档）](https://www.tableau.com/zh-cn/learn) 
- [Tableau社区](https://public.tableau.com/s/?_ga=2.71823507.1676038997.1560873286-1514687749.1560873286) 
- [Tableau作品精选Viz](https://public.tableau.com/s/gallery)
- [Tableau教程_w3cschool](https://www.w3cschool.cn/tableau/) 
- [Tableau教程- W3xue](https://www.w3xue.com/soft/tableau/) 
- [Tableau中文手册](http://www.kubiji.cn/book/tableau/) 
- [Tableau官网视频培训教材 英文版（b站）](https://www.bilibili.com/video/av17433768?from=search&seid=18433794970164707199) 
- [Tableau官网视频培训教材 中文版（b站）](https://www.bilibili.com/video/av57762618?from=search&seid=18433794970164707199) 
- [Tableau 14天入门训练营 （b站）](https://www.bilibili.com/video/av57932052?from=search&seid=18433794970164707199) 
- [Tableau商业智能与可视化应用实战（b站）](https://www.bilibili.com/video/av45663036?from=search&seid=18433794970164707199)
- [如何学习tableau？](https://www.zhihu.com/question/29478254) 
- [MakeOver Monday(Tablea作品集)](http://www.doc88.com/p-9969131399830.html) 
- [Tableau制作小案例](https://mp.weixin.qq.com/s/UlB_D6UMgshQ4jquG_UTuA)（优阅达）
- [iconfont（图标库，可用于dash board制作）](https://www.iconfont.cn/?spm=a313x.7781069.1998910419.d4d0a486a) 

## 九、大数据

- [spark 中文文档](http://spark.apachecn.org/#/) 
- [kafka 中文文档](http://kafka.apachecn.org/) 
- [hbase 中文文档](http://hbase.apachecn.org/#/) 
- [flink官网](https://flink.apache.org/zh/)
- [flink 中文文档](https://flink.apachecn.org/docs/1.7-SNAPSHOT/#/) 
- [Hive 英文文档](https://hive.apache.org/) 
- [Hive 中文教程](https://www.docs4dev.com/docs/zh/apache-hive/3.1.1/reference/Home.html) 
- [Spark 编程指南简体中文版](https://aiyanbo.gitbooks.io/spark-programming-guide-zh-cn/content/) 
- [Scala 英文文档](https://docs.scala-lang.org/)
- [Scala 中文文档](https://docs.scala-lang.org/zh-cn/overviews/) 
- [Scala Tutorial 中文版](https://www.scala-lang.org/docu/files/ScalaTutorial-zh_CN.pdf) 
- [Scala 菜鸟教程](https://www.runoob.com/scala/scala-tutorial.html) 
- [Scala w3cschool教程](https://www.w3cschool.cn/scala/) 

## 十、数理统计知识

-  [麻省理工公开课-线性代数](http://open.163.com/special/opencourse/daishu.html)  
-  [可汗学院公开课：线性代数](http://open.163.com/special/Khan/linearalgebra.html)  
-  [同济大学公开课：线性代数](http://open.163.com/movie/2019/4/9/M/MEC1UPOHH_MEC1USS9M.html)  
-  [山东大学MOOC-线性代数](https://www.icourse163.org/course/sdu-55001)  
-  [线性代数讲义 - 华东师范大学数学系](http://math.ecnu.edu.cn/~hryuan/preprint/la.pdf)  
-  [线性代数-北京大学出版社](http://www.pup.cn/ztpage/gzgz/PDF/book/高职数学/13.线性代数.pdf)  
-  [线性代数-维基百科](https://link.juejin.im/?target=https%3A%2F%2Fen.wikipedia.org%2Fwiki%2FLinear_algebra)
-  [MIT-18.06-线性代数-完整笔记](https://github.com/apachecn/18.06-linalg-notes)
-  [两小时讲完线性代数](https://www.bilibili.com/video/av7564112?from=search&seid=10663434405036315716)
-  [矩阵编码：线性代数在计算机科学中的应用](http://codingthematrix.com/)  
-  [线性代数应用-戴维森学院](https://www.edx.org/course/applications-linear-algebra-part-1-davidsonx-d003x-1) 
-  [可汗学院公开课：统计学](http://open.163.com/special/Khan/khstatistics.html)  
-  [加利福尼亚大学伯克利分校公开课：统计学](http://open.163.com/movie/2017/5/0/8/MCJQECVBF_MCJSVSQ08.html)  
-  [浙江大学公开课：概率论与数理统计](http://open.163.com/movie/2019/4/R/6/MEC1U20OT_MEC1U8MR6.html)  
-  [可汗学院公开课：概率](http://open.163.com/special/Khan/probability.html)  
-  [概率论与数理统计-重庆大学公开课](http://www.xuetangx.com/courses/course-v1:CQU+MATH20041X+2018_T2/about)  
-  [概率论与数理统计-北京大学公开课](https://www.bilibili.com/video/av34021718/)  
-  [概率论与数理统计-中科大公开课](https://www.bilibili.com/video/av3781284/)  
-  [商务与经济统计-北师大公开课](http://www.icourse163.org/course/BNU-1003604001)  
-  [哈佛大学统计学110讲稿](http://projects.iq.harvard.edu/stat110/youtube)
-  [概率论和统计学](https://www.khanacademy.org/math/probability)-Khan Academy  
-  [麻省理工学院公开课：微积分重点](http://open.163.com/special/opencourse/weijifen.html)  
-  [清华大学微积分主讲-刘坤林](https://www.bilibili.com/video/av29845488/)  
-  [微积分-浙江大学](https://www.bilibili.com/video/av39156411?from=search&seid=11125098883390790554)  
-  [麻省理工学院公开课：多变量微积分](http://open.163.com/special/opencourse/multivariable.html)  
-  [可汗学院公开课：微积分预备](http://open.163.com/special/Khan/precalculus.html)  
-  [麻省理工学院公开课：单变量微积分](http://open.163.com/special/sp/singlevariablecalculus.html)  
-  [HACC公开课：微积分1](http://open.163.com/movie/2018/12/0/H/ME19860FO_ME1AUHF0H.html)  
-  [HACC公开课：微积分II](http://open.163.com/movie/2018/12/1/S/ME2SKV6B0_ME2UJ1G1S.html)  
-  [数学分析讲义 - 南京大学数学系](http://math.nju.edu.cn/~meijq/calculus/notes.pdf)  
-  [7天搞定微积分](http://www.rsqdz.net:907/upload/userfile/naturalism/shuxue/7天搞定微积分.李巧丽.扫描版.pdf)  
-  [托马斯微积分](https://github.com/gnuhub/books-1/blob/master/数学●基础数学●数学分析/托马斯微积分.pdf)   

## 十一、量化

- [Python量化投资](https://www.lizenghai.com/) 

## 十一、数据集/接口

- [sklearn自带数据集](https://scikit-learn.org/stable/modules/classes.html?highlight=dataset#module-sklearn.datasets) 
- [kaggle数据集](https://www.kaggle.com/datasets) 
- [UCI数据集](https://archive.ics.uci.edu/ml/datasets.php) 
- [科赛网数据集](https://www.kesci.com/home/dataset)  
- [tushare财经股票基金数据接口](http://tushare.org/)
- [akshare财经股票基金数据接口](https://akshare.readthedocs.io/zh_CN/latest/)
- [baostock财经股票基金数据接口](http://baostock.com/baostock/index.php/%E9%A6%96%E9%A1%B5)

## 十二、地理信息分析

- [geoplot地理空间可视化官方文档](https://residentmario.github.io/geoplot/index.html) 
- [folium地图可视化官方文档](https://python-visualization.github.io/folium/) 
- [geopandas地理空间数据处理官方文档](https://geopandas.org/) 
- [cartopy地理空间可视化官方文档](https://scitools.org.uk/cartopy/docs/latest/)