In 2014, I was first introduced to pandas and had no idea how to use it. By 2017, I had written the 500 page book Pandas Cookbook. This is roughly the path I took to mastering pandas for free: Read the official documentation Practice examples in the documentation Flashcards Share…

If you’ve worked with the matplotlib data visualization library before, then you’ll be familiar with the term figsize, which is measured in figure inches. In a Jupyter Notebook, these default to 6 inches in width by 4 inches in height. But, if you actually measured the physical screen inches on…

If you’ve used matplotlib and seaborn to create data visualizations enough, then you’ve probably run into the issue of overlapping text labels on the x-axis. Let’s take a look at an example that uses Airbnb listings data. import pandas as…

The solutions to the five Dunder Data Pandas Challenges will be presented below. Try these challenges for yourself at python.dunderdata.com before looking at the solutions. Video solutions for all of the challenges are available on YouTube. The following two datasets are used for the challenges. import pandas as pd emp =…

The solutions to the five Dunder Data Python Challenges will be presented below. Try these challenges for yourself at python.dunderdata.com before looking at the solutions. Video solutions for all of the challenges are available on YouTube. Challenge #1 (1pt) Given a list of integers. Return the difference between the largest and smallest values. …

The Seaborn data visualization library in Python provides a simple and intuitive interface for making beautiful plots directly from a Pandas DataFrame. When users arrange their data in tidy form, the Seaborn plotting functions perform the heavy lifting by grouping, splitting, aggregating, and plotting data, often with a single line…