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）.zip

# 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://gith