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# Python網路免費基礎資料與書單
> [color=#40f1ef][name=LHB阿好伯, 2020/02/18][:earth_africa:](https://www.facebook.com/LHB0222/)
###### tags: `Python`

[TOC]

# 主要參考書籍
> [Python入門邁向高手之路王者歸來](https://www.books.com.tw/exep/assp.php/gtgrthrst4577/products/0010773177?utm_source=gtgrthrst4577&utm_medium=ap-books&utm_content=recommend&utm_campaign=ap-202002)
> [name=洪錦魁 , 2017/12/21]

# 網路免費書籍
## 英文
### Python for Data Analysis, 3E

[Python for Data Analysis, 3E](https://wesmckinney.com/book/)

### Automate the Boring Stuff with Python
[
](https://automatetheboringstuff.com/)
#### [ 中譯本](https://www.books.com.tw/exep/assp.php/gtgrthrst4577/products/0010739372?utm_source=gtgrthrst4577&utm_medium=ap-books&utm_content=recommend&utm_campaign=ap-202002)

### How to Think Like a Computer Scientist | 如何像電腦科學家一樣思考
[ ](http://openbookproject.net/thinkcs/python/english3e/)

### Python Data Science Handbook
[](https://github.com/jakevdp/PythonDataScienceHandbook)
#### [ 中譯本](https://www.books.com.tw/exep/assp.php/gtgrthrst4577/products/0010774364?utm_source=gtgrthrst4577&utm_medium=ap-books&utm_content=recommend&utm_campaign=ap-202002)

### A Whirlwind Tour of Python|旋風之旅Python

[](https://www.oreilly.com/programming/free/files/a-whirlwind-tour-of-python.pdf)
[書籍內代碼](https://github.com/jakevdp/WhirlwindTourOfPython)

### Research Software Engineering with Python
https://merely-useful.github.io/py-rse/

## 中文
### 官方參考文檔
[
官方參考文檔](https://docs.python.org/zh-cn/3/?utm_source=ZHShareTargetIDMore&utm_medium=social&utm_oi=1054892840450195456)

### 旋風之旅Python
[旋風之旅Python-zh-tw|中譯版](https://github.com/doggy8088/A-Whirlwind-Tour-of-Python-zh-tw)

### 動手學深度學習（D2L深度學習）
[動手學深度學習（D2L深度學習）](https://github.com/d2l-ai/d2l-zh)
### 進階python
https://py.eastlakeside.cn/

### [廖雪峰網站](https://www.liaoxuefeng.com/wiki/1016959663602400)

# 其他參考資料

## Python for Non-Programmers|非程序員的Python資料

[Python for Non-Programmers](https://wiki.python.org/moin/BeginnersGuide/NonProgrammers)

## Awesome-Pytorch-list｜厉害的Pytorch项目

[厉害的Pytorch项目](https://github.com/xavier-zy/Awesome-pytorch-list-CNVersion)
[英文原版](https://github.com/bharathgs/Awesome-pytorch-list)

## 30-Days-Of-Python
[30-Days-Of-Python](https://github.com/Asabeneh/30-Days-Of-Python)
### [學習筆記](/iHngNtIBRP6Ao0hN0Fs-vA)
## Python - 100天从新手到大师

[Python - 100天从新手到大师](https://github.com/jackfrued/Python-100-Days)

## Python for Everybody
[Python for Everybody](https://books.trinket.io/pfe/index.html)

## 100 Days of ML Coding
[100 Days of ML Coding](https://github.com/Avik-Jain/100-Days-Of-ML-Code)
[中譯-100 Days Of ML Code](https://github.com/MLEveryday/100-Days-Of-ML-Code)

## 自学是门手艺|the-craft-of-selfteaching
[自学是门手艺](https://github.com/selfteaching/the-craft-of-selfteaching)

## 机器学习100天
https://github.com/MLEveryday/100-Days-Of-ML-Code

## TensorFlow學習
https://github.com/instillai/TensorFlow-Course

## 深度學習功能的 IPython 筆記本
https://github.com/donnemartin/data-science-ipython-notebooks

## 面向初學者的機器學習 - 課程
https://github.com/microsoft/ML-For-Beginners

## Pandas 備忘表—用於數據科學的Python
[:earth_asia:Pandas Cheat Sheet — Python for Data Science](https://www.dataquest.io/blog/pandas-cheat-sheet/)

## 各式備忘表 - DataCamp
https://www.datacamp.com/community/data-science-cheatsheets

## 線上速查表
https://github.com/Fechin/reference

## Python 黑魔法玩法
https://github.com/iswbm/magic-python

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