![]() ![]() If you’re on Ubuntu 16.04 or later, or any other Linux distribution that supports snap, you should not need to upgrade manually, you’ll automatically receive the new version. P圜harm will be able to patch itself to the new version, there should no longer be a need to run the full installer. You can update P圜harm by choosing Help | Check for Updates (or P圜harm | Check for Updates on macOS) in the IDE. We fixed a performance issue reported after importing Matplotlib into the python consoleĪnd many more small fixes, see our release notes for details.We fixed a performance issue that made the UI freeze while the user was editing SQL strings.We fixed a bug that prevented the debugger from working on Python 3.5 and earlier.We brought back an old functionality into our CSV data editor that will make editing CSV files easier by showing tabs for ‘Data’ and ‘Text’ (only in P圜harm Professional Edition). ![]() We fixed autocompletion for TypedDict arguments for functions.We implemented several small tasks points to ensure that Python 3.9 alpha interpreters will work as expected The first EAP release of DataSpell 2023.3 introduces several exciting features: faster table data exploration in the Python console along with support for pandas Series, data analysis project templates, the ability to sort DataFrames by multiple columns, and code completion for Jupyter Magics.We fixed a problem with the DataFrame viewer window being small and not expanding upon resizing.P圜harm 2020.1.1 is out with fixes for small issues, including usability problems introduced by version 2020.1. Update from within P圜harm (Help | Check for Updates), using the JetBrains Toolbox, or by downloading the new version from our website. ![]()
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