500 Exercises to Master Python Pandas
A complete and thorough guide for learning Pandas
I’ve been using Pandas for over 3 years both at my jobs working as a data scientist and for content creation.
Pandas is one of most frequently used tools in the data science ecosystem and continues to be a top choice when working with tabular data. It provides numerous functions and methods to clean, manipulate, preprocess, and visualize data.
Based on my experience working on real-life datasets to solve real issues and using the library for personal projects, I created 500 exercises with the goal of teaching you how to handle data with Pandas.
The exercises cover simple operations like creating DataFrames by reading data from different sources as well as complex ones such as finding the top 3 items based on an aggregated metric for each group.
You’ll also get to learn how to use Pandas for data visualization and style Pandas DataFrames to integrate visual components when displaying them.
I also created two lectures on how to take a raw dataset that is not very usable in its current format and then clean it and preprocess it to create a ready-to-use dataset for the downstream processes.
