Please give the new functionality a try and let us know what you think! Virtual environments and system interpreters are not affected. We strongly recommend that Conda users skip this EAP due to this issue. Finally, we’ve added enhancements to help with coding, such as autocompletion for pandas column names when using Python scripts and Data Vision, which displays helpful in-line information about variables.ĭue to ongoing changes we are making to Conda support in DataSpell, Conda interpreters are not supported in this EAP. In addition, we’ve greatly expanded the options for working with DataFrames, including by making improvements to how you can display and export your data. The second EAP build for DataSpell 2022.3 contains some exciting new features, including two highly requested additions: the ability to configure a remote interpreter using SSH and debugging for Jupyter notebooks running on remote machines.
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