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pyTutorial
  • Instruction (80%)
    • 安裝開發環境
  • Tutorials and eBooks
  • Python Basic
    • 1. Basic
    • 2. Counting
    • 3. List and dictionary
    • 4. Conditions: if-elif-else (90%)
    • 5. Flow: for-loop (90%)
    • 6. Function (60%)
    • 7. Read files (2%)
    • 8. Pandas (35%)
    • 9.Visualization
    • 10. String operations
  • Text mining
    • TM Overview
    • TM01. Term frequency
    • TM02. Collocation
    • TM03. POS Part-of-Speech
    • TM04 Chinese word segmentation
    • TM04. Ranking and Indexing
    • TM05. Word Embedding
    • TM06. Classification
    • Vectorizations
    • (Temporary) Applications
    • Discussion
  • Appendix
    • A1. Third party functions
    • A2. Useful packages
    • A3. Using Conda & Colab
    • A4. Dataset
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  1. Appendix

A2. Useful packages

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Last updated 5 years ago

Jupyter notebook

  • Jupyter contribution extensions (nbextensions)

  • Jupyter themes

    • pip install jupyterthemes

    • jt -t grade3 -lineh 115 -cursw 2 -cursc r -ofs 11 -cellw 90% -altmd

  • RISE: Presentation with reveal.js

https://towardsdatascience.com/bringing-the-best-out-of-jupyter-notebooks-for-data-science-f0871519ca29
https://github.com/dunovank/jupyter-themes
https://rise.readthedocs.io/en/stable/index.html