This second EAP build also contains new features to convert a Jupyter Notebook into a Python script and vice versa, to drag and drop a CSV to create a Pandas DataFrame, and to change the default number of rows displayed for a DataFrame. If you encounter a bug or have a feature suggestion, please share it in our issue tracker.Many DataSpell users requested the ability to organize their work into multiple projects with completely separate environments and in DataSpell 2023.1 EAP 2 we have delivered! Subscribe to our blog and Twitter to be the first to know about new features and useful tips on DataSpell and for data science! These are all of the improvements for DataSpell 2022.2.3. There, you can configure the search procedure and scope. If this is the case, you can use the Find Usages dialog.
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