2019.3 EAP 7
A new Early Access Program (EAP) version for PyCharm 2019.3 is now available! If you wish to try it out do so by downloading it from our website.
New for this version
R plugin support
We are happy to announce that PyCharm now supports the R language and development environment plugin to perform statistical computing as part of our scientific tools offering. Perform data wrangling, manipulation and visualization with the library tools that R has available. To start using it `download the R language`, `install the R plugin in PyCharm` and `configure the R interpreter`.
After doing this you can start creating `.R` files (that you can easily identify by the 
icon) for which we will provide code assistance like: error and syntax highlighting, code completion and refactoring, creation of comment lines, intention actions and quick fixes.
To make the most out of this scientific tool you will have available a console, graphic tool window, and packages, HTML and table views to work with:
Want to know more? Visit our R plugin support documentation to get detailed information on installation and usage.
Further improvements
- An issue causing Docker remote interpreters not to reflect updated libraries in PyCharm was fixed. Now every time you update your Docker packages they will be auto updated as well in PyCharm.
- The PEP8 warnings showing incorrectly for assignment expressions were solved.
- For more see the release notes
Interested?
Download this EAP from our website. Alternatively, you can use the JetBrains Toolbox App to stay up to date throughout the entire EAP.
If you’re on Ubuntu 16.04 or later, you can use snap to get PyCharm EAP, and stay up to date. You can find the installation instructions on our website.
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