Table of Contents

Python

P1. Books, Tutorials, and References

• The Official Python Tutorial
  • The Python Standard Library
• Real Python Tutorials, Real Python
• Effective Python, Brett Slatkin (Korean summarization)
• The Hitchhiker’s Guide to Python, Kenneth Reitz and Tanya Schlusser (Korean translation)
  • Code Style (Bad and Good)
• 점프 투 파이썬 (in Korean), 박응용
• 예제로 배우는 파이썬 프로그래밍 (in Korean), Alex Lee

P2. Tools and Environments

• Anaconda and conda
• Jupyter Notebook
  • Online viewer and convertor
• Google Colaboratory (in short Colab)

P3. NumPy, SciPy, and Matplotlib

• SciPy: A Python-based open-source computing tool (including NumPy and Matplotlib)
  • SciPy Cookbook
  • SciPy Lecture Notes
• Python Data Science Handbook, Jake VanderPlas
  • It covers IPython, NumPy, Pandas, Matplotlib, and scikit-learn.
• Python Programming and Numerical Methods: A Guide for Engineers and Scientists (Jupyter Book), Kong et. al.
• 데이터 사이언스 스쿨 (in Korean)
  • It covers Python, NumPy, SymPy, SciPy, pgmpy, Pandas, Matplotlib, Seaborn, scikit-learn, NLTK, and more.
• Programming Meets Mathematics, Sunglok Choi