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Data Visualization course

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A Data Visualization course in Python by Laure Daumal

This course is taught as part of the ESILV master's degree.

Please follow the installation instructions in get_started.md to install required softwares. The course will be taught in Python, the main language for data manipulation alongside R and Matlab.

Each chapter is supposed to be done in ~3 hours.

Chapter 1

  • Set up & usage of jupyter notebook.
  • Lesson 1:
    • Introduction to numpy, a scientific computing package
  • Lesson 2:
    • Introduction to matplotlib, a 2d plotting library
    • Introduction to pandas, a package providing data structures and analysis tools.

Chapter 2

  • Lesson 1:
    • Introduction to geopandas, a pandas extension to work with geospatial data using shapely and matplotlib.
    • Usage of shapely, a package providing geometric objects and operations.
  • Lesson 2:
    • Advanced usage of pandas.DataFrame methods.
    • Advanced usage of matplotlib methods.

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