The Python Data Analysis Library (pandas) provides data structures and tools for manipulating and analyzing data. It is built on top of NumPy, the core package for numerical computations in the Scientific Computing Tools for Python (SciPy) ecosystem. The objective of this presentation is threefold: explain when one can benefit from using pandas, describe its fundamental data structures, and give an overview of the data analysis tools it provides.
Notebook : https://gist.github.com/ccomte/41b78e562552db683b1d855629afc9e0.