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An Introduction to Python Programming for Scientists and Engineers

Lin et al.

  • Homepage
  • The Authors
  • Student Resources
  • Jupyter Notebooks
  • Instructor Resources
  • Using Python in a Terminal Window
  • Using a Jupyter Notebook
  • Text Editors
  • Using Spyder
  • The Debugger in Jupyter
  • The Debugger in Spyder
  • Matplotlib Animations in IDEs
  • Additional References
  • Additional References: Ch. 14
  • Additional References: Ch. 18
  • Animation of Figure 14.4
  • Datasets

Additional References for Chapter 18

This page lists additional references for Chapter 18.

  • “Built-in Functions”: https://docs.python.org/3/library/functions.html
  • “Hierarchical Data Format”: https://en.wikipedia.org/w/index.php?title=Hierarchical_Data_Format&oldid=958714916
  • “Intro to data structures”: https://pandas.pydata.org/pandas-docs/stable/getting_started/dsintro.html
  • “IO tools (text, CSV, HDF5, …)”: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html
  • openpyxL Tutorial: https://openpyxl.readthedocs.io/en/stable/tutorial.html
  • “pandas.read_excel”: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_excel.html
  • pandas DataFrame class:
    • to_excel method: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_excel.html
  • pandas ExcelWriter class:
    • Constructor: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.ExcelWriter.html
  • pandas Series class:
    • Constructor: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html
    • to_excel method: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.to_excel.html
  • “pickle — Python object serialization”: https://docs.python.org/3/library/pickle.html
  • “Saving and loading multiple objects in pickle file?”: https://stackoverflow.com/q/20716812/8430411

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