Ressources

Table of contents

  1. Pandas:
  2. Python:
  3. Matplotlib:

Pandas:

  1. Pandas Documentation: The official documentation for Pandas is an invaluable resource for learning and mastering Pandas.

  2. Pandas Cheat Sheet: A concise cheat sheet summarizing common Pandas operations and functions.

  3. 10 Minutes to Pandas: A quick introduction to Pandas that covers the basics in just 10 minutes.

  4. Pandas Profiling: Pandas Profiling is a tool for visualizing and understanding your Pandas DataFrame quickly.

  5. Pandas Cookbook: A collection of practical recipes for common Pandas tasks and challenges.

Python:

  1. Python Documentation: The official Python documentation provides in-depth information on Python’s syntax, standard libraries, and more.

  2. Python.org: The official Python website contains news, downloads, and resources for Python users.

  3. Real Python: A website with a wide range of Python tutorials, articles, and exercises for all skill levels.

  4. Python Package Index (PyPI): PyPI is the official repository for Python packages. You can find and install Python packages from here.

Matplotlib:

  1. Matplotlib Documentation: The official Matplotlib documentation provides comprehensive information on creating visualizations in Matplotlib.

  2. Matplotlib Gallery: A collection of example plots and visualizations created with Matplotlib, which you can use as a reference.

  3. Python Plotting with Matplotlib (Guide): A detailed guide to creating various types of plots with Matplotlib.

  4. Matplotlib Tutorials: A series of tutorials covering different aspects of Matplotlib for data visualization.

These resources should help you learn and use Pandas, Python, and Matplotlib effectively for data analysis and visualization.