New UI improvements Colored project headers in the new UI This feature is currently available for pandas and Polars DataFrames. By simply hovering over a column header, you can now effortlessly access valuable information such as value distribution, mean, standard deviation, and missing values. We’ve streamlined the data exploration process, which is crucial and often time-consuming for data professionals. This feature simplifies your interactions with the library and facilitates data manipulation within DataSpell. Moreover, we’ve also introduced column-name completion support in Polars functions. Now, you can conveniently access tables using Python and Jupyter debuggers and variable viewers. These tables are supported both in Jupyter notebooks and Python consoles. We’ve taken some giant strides toward making Polars a first-class citizen for DataSpell.įirst, DataSpell has introduced interactive tables for Polars DataFrames, enabling effortless sorting, exporting, and viewing of data. Polars has recently gained significant popularity due to its remarkable high-performance capabilities. In addition, significant productivity and convenience enhancements were added to both the Big Data Tools and Database plugins, as well as the ability to configure Jupyter-managed servers and improved synchronization between DataSpell and external applications.ĭownload the new version of DataSpell from our website, update directly from the IDE or via our free Toolbox App, or use snap packs for Ubuntu. We’re happy to report that these latest UI improvements enhance productivity and personalization. Users have expressed their love for the newly designed DataSpell UI, appreciating its ability to keep them focused on their workflow, the clean design, and its general aesthetic appeal. This release makes data exploration easier than ever by displaying descriptive statistics for data. We understand how vital it is for data professionals to have access to the descriptive statistics of their data.
We’re delighted to announce that we’ve started the integration of Polars as a first-class citizen within DataSpell.
DataSpell 2023.2 introduces Polars DataFrames library support, substantial enhancements in table data exploration, new UI improvements, and much more.
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