New PyCharm 2.0 EAP build: Cython, CoffeeScript, code coverage
When we announced the previous EAP build, we mentioned that we had two new features with the letter ‘C’ in development. Now we’re happy to announce that we have not two, but three of them, and all of them are included in today’s EAP:
- Initial support for Cython. The current version supports only syntax and error highlighting; other features (such as code navigation and completion) will be added in the coming weeks.
- The new CoffeeScript plugin, with code insight, formatter and inspections support, is now bundled with PyCharm.
- PyCharm now supports collecting and displaying code coverage information, based on Ned Batchelder’s coverage.py tool. The code coverage can be enabled in the run configuration settings. (Note that the current UI is preliminary and will be reworked in subsequent EAP builds.)
- The template language configuration has been redesigned and streamlined. In particular, you can now mark your project as using Django templates even if it’s not actually a Django project (for example, if you’re using Django templates with Google App Engine).
- The “Create Test” feature now has the capability of creating a new test if it didn’t find a test to navigate to.
And don’t forget that the 50% discount on personal licenses has been extended until October 15th. All licenses purchased now qualify for a free upgrade to PyCharm 2.0 when it is released.
Subscribe to Blog updates
Thanks, we've got you!
PyCharm 2023.3 Release Candidate Is Out
PyCharm 2023.3 Release Candidate is now available! You can get the latest build from our website, through the free Toolbox App, or via snaps for Ubuntu. To use this build, you need to have an active subscription to PyCharm Professional. Download PyCharm 2023.3 RC As we prep…
PyCharm 2023.3 EAP 7 Is Out!
Enhancements to the Django Structure view, Search Everywhere and support for Angular 17
PyCharm 2023.3 EAP 6 Is Out!
Django project structure view, enhancements to Live Preview for Django Templates, interactive plots in SciView, and the ability to view dataframes or series as charts.