GitHub - jakevdp/PythonDataScienceHandbook

Python Data Science Handbook Overview

• Content: The complete text of the Python Data Science Handbook provided as free, executable Jupyter notebooks.
• Core Libraries Covered: IPython, NumPy, Pandas, Matplotlib, and Scikit-Learn.
• Prerequisites: Assumes familiarity with the Python language; a companion project, A Whirlwind Tour of Python, is recommended for language basics.
• Technical Specifications:
  • Written and tested primarily with Python 3.5.
  • Most code is compatible with Python 2.7 and other versions.
  • Environment management via conda is supported using the provided requirements.txt file.
• Access Options:
  • Read online: jakevdp.github.io/PythonDataScienceHandbook/
  • Executable versions: Available via Google Colab or Binder.
  • Physical copy: Available for purchase through O'Reilly Media.
• Licensing:
  • Code: MIT License.
  • Text content: CC-BY-NC-ND License.