Tutorial: Pandas Hands on
This lecture will teach about the main topics in Python's most popular library for data science: Pandas.
We will study: dataframe properties, the process of selection, sorting, dropping, and renaming columns, filtering, group by, correlation, and the apply() function. We will also discuss the visualization of data using the plot, scatter, and histogram functions in Pandas.
The lab notebook is available at Kaggle:
https://www.kaggle.com/yahamid/db-cou...