Picking the Perfect Data Visualization: Barplots
Use barplots to gain insight into the differences between groups.
Hit the Ground Running With Pandas
If you’re doing any work with data in Python, it’s only a matter of time before you come across pandas. This popular package provides you with many options for reading in, processing, and writing data; however, it’s not the most intuitive package to use and beginners might find it a bit overwhelming…
How to Use Git With Jupyter Notebooks in DataSpell
Get up and running with version control using Git when working with Jupyter notebooks.
Using Jupyter Notebooks With WSL 2 in DataSpell
Learn more about using Windows Subsystem for Linux with Jupyter Notebooks, including how to run Python code from Windows using Linux.
Webinar: “Idiomatic Pandas: 5 tips for better Pandas”, With Matt Harrison and Jodie Burchell
I’ve been a long-time Pandas user, relying on it heavily since the start of my data science career. However, up until the last couple of years, I struggled with certain issues, such as not being able to work with very large DataFrames or efficiently run heavy data processing tasks. I’d also often fi…