PyCharm 2017.3 is out now!
PyCharm 2017.3 is here: it’s faster, more usable, and better for data science.
- We’ve worked hard to make creating and selecting Python interpreters easier. For example, PyCharm 2017.3 will remember if you prefer to put your virtualenv in your project folder, or in a separate folder (like your WORKON_HOME folder).
- A new scientific mode, which puts all the tools you need for data science at your fingertips (Scientific mode is only available in PyCharm Professional Edition)
- We’ve built an all new HTTP client for those of you who build (REST) APIs. You can now write a request in a .http file, and then run it straight from the editor (Web development features are only available in PyCharm Professional Edition)
- Django 2.0 will be out soon, and we’re happy to announce that PyCharm 2017.3 fully supports the new version (Django support is only available in PyCharm Professional Edition)
- PyCharm 2017.3 supports running Python modules (`python -m <module name>`)
- We’ve added support for SSH config files: if you’re using a complex setup with jump hosts, you can now connect to your machines effortlessly using the same config that you use on the command line (SSH is only supported in PyCharm Professional Edition)
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Livestream: “Python, Django, PyCharm, and More”
Join us for the new PyCharm Livestream episode to learn about everything new in the world of Python on January 25 at 4:00 pm UTC.
Join the Private Preview of Our New Tool for Your ML Experiments!
Join a private preview of our brand-new tool for ML experiments. It lets you set up and launch an experiment from local code on a VM in the cloud directly from PyCharm. We’re granting free access for cloud resources during the preview!
Buy PyCharm. Support Data Science.
This December, 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 support NumFOCUS and their sponsored, data science, projects.
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