PyCharm 2019.2.3

PyCharm 2019.2.3 is now available!

Fixed in this Version

  • We solved an issue that was causing an error when invoking string literals.
  • Regression errors were fixed in the debugger:
    • The usage of multiprocessing on programs resulted on the inability to debug them and that was solved.
    • We fixed the issue that caused uncaught exceptions not to show traceback data.
    • Breakpoint usage while executing code in debug mode was causing different execution behaviors resulting in errors and that was fixed.
  • The problem causing Python interpreter not to be properly set if downloaded from the Windows Store was fixed.

Further Improvements

  • The SVN performance was improved to avoid unnecessary processing of SVN operations’ results. Now projects with large amount of files using such version control system will experience enhanced processing times.
  • Some other platform issues were solved as well and much more, check out our release notes for more details.

Getting the New Version

You can update PyCharm by choosing Help | Check for Updates (or PyCharm | Check for Updates on macOS) in the IDE. PyCharm will be able to patch itself to the new version, there should no longer be a need to run the full installer.

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.

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4 Responses to PyCharm 2019.2.3

  1. Zane says:

    I am on a MacOs Mojave and am getting a message saying:

    PyCharm does not have write access to /private/var/folders/1z/1m9lcm4n2_j48v0bgxk0l46m0000gn/T/AppTranslocation/61CF340B-C7AA-418D-A5E4-0F2A898DE615/d/PyCharm Please run it by a privileged user to update.

    There is only one account on my computer, so I presume that this account has all privileges.
    How do I update Pycharm in my situation?

  2. jim rain says:

    In debug mode, keymap “execute selection in python console” is useless, besides after using this keymap will cause console to be useless too……i

  3. jim rain says:

    In SciView, pandas DataFrame or Series values are not aligned center, but aligned at left

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