Skip to content Burger menu icon
Pycharm logo

The PyCharm Blog

The Python IDE for Professional Developers
Download
News

PyCharm 1.2 released, with a new academic license type

Eugene Toporov
Eugene Toporov

PyCharm 1.2 is available for download. This minor update for our Python and Django IDE brings the following major changes:

  • Support for Python 3.2 and Django 1.3
  • New UI for Find/Replace
  • Python version compatibility inspection
  • Syntax highlighting for .po files as initial i18n support

For more details about the changes please read what’s new, and download PyCharm 1.2.

Also, we’ve added a new, more affordable, ‘Academic’ license. It allows students and teachers to use PyCharm for non-commercial purposes, including education and research. Learn more about the Academic license.

Note: PyCharm 1.2 is a free update for all PyCharm licensees.

Develop with Pleasure!
-JetBrains PyCharm Team

django i18n licensing Python
Prev post Python IDEs panel video from PyCon 2011PyCon wrap up: 10 free PyCharm license winners announced Next post

Discover more

Build Django Apps on Google Cloud With PyCharm and Cloud Code

Learn how to build and run your applications both in a local Kubernetes cluster (Docker Desktop or Minikube) and remotely in Google Kubernetes Engine using Cloud Code and PyCharm.

Mukul Mantosh Mukul Mantosh

Meet the PyCharm team at EuroPython!

Meet the PyCharm team at Europython 2023! Join a talk by Paul Everitt, Q&A for data science newbies by Jodie Burchell, experts from Anaconda, Hugging face and come by the JetBrains booth to see what's new in PyCharm!

Jodie Burchell Jodie Burchell

Buy PyCharm. Support Django. 

This July, we’re offering new users a 30% discount for PyCharm Professional annual subscriptions. We’ll also donate all of the proceeds from this campaign to the Django Software Foundation.

Valeria Letusheva Valeria Letusheva

PyCharm 2023.2 EAP 2: Live Templates for Django Forms and Models, Support for Polars DataFrames

Try new, time-saving live templates for Django forms, models, and views, as well as support for a super-fast Polars DataFrame library and initial GitLab integration.

Valeria Letusheva Valeria Letusheva