PyCharm 2017.1.4 is now available

PyCharm now bundles a plugin, which allows users to interact with analysis results delivered by Qodana – a new code quality platform from JetBrains. The platform is designed to bring server-side static analysis to your preferred CI tool. By using the same code inspections and profiles as PyCharm and other JetBrains IDEs do, Qodana helps ensure consistent code quality checks both in your IDE and your CI.

The second minor release brings a list of improvements, and fixes for the debugger, test runner, and Python Console. You can update to version 2022.3.2 by using the Toolbox App, installing it right from the IDE, or downloading it from our website. Download PyCharm 2022.3.2 Notable fixes: To see the full list of improvements, check out the release notes. Found a bug or have an idea for a new feature or implementation? Share your feedback with us in the comments, on Twitter, or in our issue tracker. The PyCharm team

PyCharm is working hard on Python developer experience (DX). There’s a project with a very promising DX boost using “hot reloading”: Reloadium. It really speeds up turnaround time on working with your code, and with the PyCharm plugin, brings fresh new ideas to running, debugging, and profiling. On January, 27 we have a webinar with Reloadium to show it in action. As an intro, we did a Q&A with the team. Watch the webinar Quick Hit: Why should people care about Reloadium? DK: Reloadium is a valuable tool for developers that offers hot reloading, shortening development cycle

You write your code, restart your server, and wait for the screen to update, but by then, you’re already interrupted. Ever wish you could use the fast development cycle frontends have with hot reloading? In this webinar we’ll meet Reloadium, a Python take on the powerful-but-challenging hot module reloading from JavaScript. Reloadium’s PyCharm plugin offers a fresh developer experience, and you’ll see it in action for basic Python, data science, and Django development. It provides support for running, debugging, and profiling workflows. Hot reloading is a topic tackled by several Python