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…
DataSpell 2022.3.1 Is Out!
Get a fix for interpreter widget woes, an uninterrupted onboarding tour, simplified settings sync and code completion for column names in Python scripts.
DataSpell 2022.3: Support for Remote Interpreter Connections via SSH, Remote Jupyter Debugging, Local History for Tracking and Reverting Changes
DataSpell 2022.3 has been released! The most important new features include: - Remote development via SSH - Remote Jupyter debugging - Automatic tracking of important code changes - Enhanced DataFrame interactivity - In-line data about Jupyter variables
Webinar Recording: “Idiomatic Pandas: 5 Tips for Better Pandas”, With Matt Harrison
On Tuesday, June 21, 2022, Matt Harrison joined Jodie Burchell for a webinar about Pandas, and how to be more effective while working with this popular library. Here’s the recording for you to watch if you missed the live stream. https://youtu.be/7nhG8SKkh5E Description In this webinar Ma…
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…