![]() ![]() Enjoy outstanding coding assistance with smart code completion, code inspections, on-the-fly error highlighting, auto-fixes, along with automated code refactorings and rich navigation capabilities for all major Python implementations. Take advantage of language-aware code completion, error detection, and on-the-fly code fixes! P圜harm's smart code editor provides first-class support for Python, JavaScript, CoffeeScript, TypeScript, CSS, popular template languages and more. Enjoy productive Python, Django, and Web development with P圜harm, an intelligent Python IDE offering unique coding experience. įor the full list of issues addressed in P圜harm 2021.1.2, please see the release notes.įound a bug? Please report it using our bug tracker.Download With Fast Speed & Report Me Dead Linkįile size: 506 MB Download With Fast Speed & Report Me Dead Link We added support for several TypeScript 4.3 features, ,, and.We fixed a number of issues with the Extract Angular component refactoring, , and.In P圜harm 2021.1.2 bundled webpack schema is updated.Introspection for Oracle Database 10g (Release 10.2.0.4.0) and later works normally in P圜harm 2021.1.2. ![]() , Support for the older versions of Oracle DB Now you won’t get an exception or several copies of the last line of your selection when applying it. ![]() We fixed the inconsistent behavior with the “Move Statement”. This happens when you create and open a Jupyter Notebook document. P圜harm detects if the Jupyter package is not installed for your newly created project and throws a warning (“ Jupyter package is not installed”). This problem was caused by the fact that P圜harm detected Python frameworks in the project files and added those files to the exclusion list, when the user declined to add framework support. If you noticed considerable slowing down or even IDE hanging while working with Python files after upgrading to P圜harm 2021.1.1, upgrading to P圜harm 2021.1.2 will fix this issue. The second minor release of P圜harm 2021.1 contains several bug fixes in different functional areas, from the overall performance and working with Jupyter Notebooks to working with databases. ![]()
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