DataSpell 2023.3 EAP 1 Is Out! Faster Table Data Exploration, New Project Templates, and the Ability to Sort DataFrames by Multiple Columns

The first EAP release of DataSpell 2023.3 introduces several exciting features: faster table data exploration in the Python console along with support for pandas Series, data analysis project templates, the ability to sort DataFrames by multiple columns, and code completion for Jupyter Magics.

The Toolbox App is the easiest way to get the EAP builds and keep both your stable and EAP versions up to date. You can also manually download the EAP builds from our website.

Download DataSpell 2023.3 EAP

Below you’ll find the most noteworthy improvements available in DataSpell 2023.3 EAP 1. Please try them out and share your feedback in the comments below or in our issue tracker.

Data analysis project templates

Initial environment setup is an essential part of every data analyst’s workflow, and we are working to automate and optimize this process. Data analysis project templates provide several productivity enhancements, including:

  • Automatic package installation, ensuring the seamless installation of necessary packages for Jupyter and Python. 
  • The ability to easily initialize Git repositories.

Faster table data exploration in the Python console 

DataSpell users are already appreciating the ability to explore table data faster. Introduced for Jupyter in DataSpell 2023.2, we’ve now also made this feature accessible in the Python console. It allows you to efficiently access important descriptive statistics for your datasets, speeding up data analysis.

The feature now supports the pandas Series as well. 

Sort DataFrames by several columns

Data analysts often need to arrange data by multiple columns to conduct comprehensive analysis and uncover patterns. In DataSpell, doing so is now straightforward. After sorting the table once, just hold down Option (Mac) or Alt (Windows) and click the second column you want the table to be sorted by.

Code completion for Jupyter Magics

We’ve introduced smart completion for Jupyter Magics. DataSpell can now automatically suggest appropriate options for magic commands, making the coding process more convenient and efficient.

These are the most important updates for DataSpell 2023.3 EAP 1. We encourage you to share your feedback about the new features on Twitter or in our issue tracker, where you can also report any bugs you find. 

We’re excited to hear what you think!

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