![]() ![]() The Polars DataFrame library has recently become more popular because of its impressive high-performance capabilities. ![]() ![]() 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.ĭownload DataSpell 2023.2 EAP Polars framework support You can learn more about how the program works in this blog post. EAP builds are free and don’t require a license. 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. ![]()
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