Learn how to use the Pandas library for data analysis in Python. Pandas provides new data types for loading and manipulating tabular data, such as Series and DataFrame. You can extract columns and subsets of data using indexing and slicing. Grouped and aggregated calculations can be performed to calculate mean values and frequencies. Basic plotting can also be done using Matplotlib.
Table of contents
Your first Pandas data setPandas columns, rows, and cellsGrouped and aggregated calculationsBasic plotting with Pandas and MatplotlibConclusionSort: