參考書籍與網站
相關參考書籍
- Python 3.5技術手冊, 林信良, 碁峰
- Python絕技：運用Python成為頂級駭客(簡), TJ O'Connor, 電子工業出版社
- 用Python學資料科學, Joel Grus著, 藍子軒譯, 歐萊禮
- 高效能Python程式設計, Micha Gorelick, Ian Ozsvald著, 楊仁和譯, 歐萊禮
- 啊哈！圖解演算法必學基礎, 啊哈磊 著、H&C 譯, 碁峰
- 培養與鍛鍊程式設計的邏輯腦：程式設計大賽的解題策略基礎入門, 2/e , 江任捷, 博碩
- 深入淺出Python, Paul Barry著, 蔣大偉譯, 歐萊禮
- 黑帽Python, Justin Seitz著, Studio Tib.譯, 碁峰
- 網站擷取, Ryan Mitchell著, Studio Tib譯, 歐萊禮
- 認識資料科學的第一本書, Anil Maheshwari著, 徐瑞珠譯, 碁峰
- 精通Python 3程式設計, Mark Summerfield著, 蔣大偉譯, 碁峰
線上測驗網站(Online judge) - 支援Python3：
- Practice Python: http://www.practicepython.org
- Python Online Judge: http://pyonlinejudge.appspot.com
- Timus Online Judge: http://acm.timus.ru
- Zero Judge: https://zerojudge.tw, ♥️
- Zero-Judge 參考答案(C語言): https://www.gitbook.com/book/ffrankkk122/-zerojudge-code, ♥
相關網站:
- ANACONDA: https://www.continuum.io/
- Code.org: https://code.org/learn
- Codecombat: https://codecombat.com/, ♥️
- Codementor: https://www.codementor.io/learn-python-online
- Enki: https://www.enki.com/, ♥️
- Learnpython.org: https://www.learnpython.org/
- Matplotlib: https://matplotlib.org/
- NetworkX: https://networkx.github.io/
- Python.org: https://www.python.org/
- Python Data Science Handbook: https://jakevdp.github.io/PythonDataScienceHandbook/
- Python - Tutorial: https://www.tutorialspoint.com/python/index.htm
- Repl.it: https://repl.it/languages/python3, ♥️
- Scikit-learn.org: http://scikit-learn.org/
- Stack Overflow: https://stackoverflow.com, ♥️
- Think Python: http://greenteapress.com/wp/think-python/, [PDF]
- Visualgo.net: https://visualgo.net/en
- 程式語言教學誌: http://www.kaiching.org/