![]() (In winter it was quite ok, if you coded for a longer time you could almost use the PC as a heater). Just editing a string leads to 100% CPU usage and constant lags. I primarily use WebStorm and in the last months the quality decreased so much, every update made everything worse and worse. Want to be the first to learn about new features and get DataSpell and data science tips? Subscribe to our blog and follow us on Twitter! If you encounter a bug or have a feature suggestion, please share it in our issue tracker.What is currently going on with JetBrains, usually I was always used to super quality, but the last few months are. When text was selected in a cell and a new cell was then added using an action on the toolbar, pasted text incorrectly appeared in the first cell, instead of in the new cell. When the user then typed in the new cell, the typed text would appear in the old cell. When the user edited a code cell in a Jupyter notebook, selected text in this cell and then created a new cell of any type, the cursor moved to a new cell but focus erroneously remained in the code cell. Cell focus bugsĭataSpell 2023.1 contained several cell focus bugs which we have corrected in DataSpell 2023.1.3. In DataSpell 2023.1.3 the table no longer has to be manually adjusted to view the final row. When a DataFrame is displayed in table form in DataSpell 2023.1, a horizontal scroll bar overlaps the last displayed row. ![]() This behavior is corrected in DataSpell 2023.1.3. In DataSpell 2023.1, when pasting text into a new notebook cell added using Select Cell | Add Code Cell Below, the new cell disappears. ![]() DataSpell 2023.1.3 brings you fixes for disappearing notebook cells, invisible DataFrame rows and cell focus bugs.ĭownload the new version from our website, directly from the IDE, via the free Toolbox App, or use snaps for Ubuntu.ĭownload DataSpell 2023.1.3 Disappearing notebook cells
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