DataSpell 2023.2 EAP 1 Is Out!
The Early Access Program (EAP) for DataSpell 2023.2 is now open! The EAP gives you access to pre-release versions of DataSpell, allowing you to evaluate new features, test issues that have been resolved, and provide feedback. EAP builds are free and don’t require a license. All you need is a JetBrains Account. You can learn more about how the program works in this blog post.
The first EAP build for DataSpell 2023.2 brings code completion and interactive data frames for Polars, easier access to columns type information and several bug fixes.
Polars framework support
The Polars DataFrame library has recently become more popular because of its impressive high-performance capabilities. We have taken several steps towards making Polars a first-class citizen for DataSpell.
As an initial step, we’ve added support for column-name completion in Polars functions, making it easier for you to work with the library and data in DataSpell.
Additionally, DataSpell now offers interactive tables for Polars DataFrames, allowing you to sort, export, and view data with just a few clicks. The tables are supported both in Jupyter notebooks and Python consoles. It’s also possible to access tables via Python and Jupyter debuggers and variable viewers, as well as with DataVision.
You can expect more features for Polars support to be delivered in the future. Be sure to try them out!
Easier access to columns type information
Accurate data analysis requires a thorough understanding of the types of data in your dataset. Fortunately, DataSpell makes this process much easier: You can quickly tell the data type of a column by simply hovering the mouse over it. This works for Pandas, Polars data frames and series, and NumPy arrays.
These are the most important updates for DataSpell 2023.2 EAP 1. We encourage you to share your feedback on the new features on Twitter or in our issue tracker, where you can also report any bugs you find in the EAP versions.
We’re excited to hear what you think!
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