PyCharm 2019.1 is getting closer to its release date, and we're happy to announce that a release candidate is available for download now. New in PyCharm The all-new Jupyter Notebooks support, which is available in PyCharm Professional Edition, got few important fixes. One of the outstanding features of the Jupyter Notebooks support is the ability to debug the notebook cells. We encourage you to try it out: Docker support has been enhanced with a couple of fixes and a performance improvement Various minor UI improvements New Database support features coming from DataGrip: auto-

Our fourth Early Access Program (EAP) version for PyCharm 2019.1 is now available on our website. New in This Version Parallel and concurrent testing with pytest PyCharm makes it easy to run tests quickly using multiprocessing (parallelism) and multithreading (concurrency). All you need to do in order to run your pytest tests in parallel is to install the pytest-xdist plugin as a normal python package using the PyCharm's package manager, specify pytest as the project testing framework, create a pytest run/debug configuration where you can specify the number of CPUs to run the tests on,

In the fall of 2018, the Python Software Foundation together with JetBrains conducted the official annual Python Developers Survey for the second time. Much like the previous survey, we set out to identify the latest trends and gather insight into how the world of Python development looks at the end of 2018. Over twenty thousand developers from more than 150 different countries participated last year to help us map out an accurate, up-to-date landscape of the Python community. That is more than twice as many Python users participating in 2018 as in 2017. We are super-excited to share the re

PyCharm 2018.3.3 is now available. It comes with several Python-related improvements as well as a bunch of platform enhancements. Get it now from our website. Improved in This Version The debugger’s on-demand variable loading policy for NumPy arrays and Pandas DataFrames When the on-demand variable loading policy is enabled in the debug mode, PyCharm doesn’t load NumPy arrays and Pandas DataFrames values by default. Previously, loading all the values caused severe slowdowns in case of large datasets. You can load the values manually from the debugger’s variables view when needed by s

A PyCharm 2018.3.3 Release Candidate is now available. It comes with several Python-related improvements and platform enhancements, which we want to double-check with you before finally releasing the update. Get it now from our Confluence page. Apart from releasing this PyCharm 2018.3.3 RC, we’ve also rolled out an update for PyCharm 2018.2. It delivers a fix for lost Django support settings when adding an environment variable; for info on how to update it, skip to the end of this post. Improved in PyCharm 2018.3.3 RC The debugger’s on-demand variable loading policy for NumPy arrays and P

PyCharm 2018.3.1 Release Candidate is now available, with various bug fixes. Get it now from our Confluence page. Improved in This Version A fix for the recently added WSL support in PyCharm 2018.3 A few fixes for Docker and Docker Compose Fixes for the embedded terminal Many fixes coming from WebStorm, DataGrip and IntelliJ IDEA; see the release notes for details Interested? Download the RC from our confluence page If you’re on Ubuntu 16.04 or later, you can use snap to get PyCharm RC versions and stay up to date. You can find the installation instructions on our website.

Data Analysis, Machine Learning, and AI are rapidly growing in popularity and drawing more and more attention in tech news. How does the data science world look today and how is this industry sector evolving? What types of activities are data scientists primarily involved in? What programming languages and tools are in use? To answer these and many other important questions, last spring JetBrains conducted a Data Science Survey collecting responses from over 1,600 data scientists living in the US, Europe, Japan, and China. We are super-excited to share with you some of our incredible findings

PyCharm 2018.3 EAP 7 is out! Get it now from the JetBrains website. In this EAP we have introduced a host of new features as well as fixed bugs for various subsystems. Read the Release Notes New in This Version WSL Support We have some great news for Windows users, PyCharm now supports Windows Subsystem for Linux (WSL). With support for WSL, you can select a WSL-based Python interpreter in PyCharm’s project interpreter settings and then run and debug your project or perform any other actions as if you had a local interpreter setup. There’s only one exception - you won’t be able to

In summer 2017, JetBrains PyCharm partnered with the Django Software Foundation for the second year in a row to generate a big boost to the Django fundraising campaign. The campaign was a huge success. We raised a total of $66,094 USD for the Django Software Foundation! This year we really hope to repeat this success of the previous year. For the next three weeks, buy a new individual license for PyCharm Professional Edition at 30% OFF, and all the money raised will go to the DSF’s general fundraising and the Django Fellowship program. Promotion details Up until November 1, you can effect

PyCharm 2018.2.3 Release Candidate is now available, with some small improvements. Get it now from our Confluence page New in This Version A number of improvements and fixes for the integrated Python console Fixes for the new Quick Documentation window which was new in Pycharm 2018.2 Fixes for few false positives: install an already existing package intention, type checks And much more, including improvements from the IntelliJ platform, WebStorm, and DataGrip, see the release notes for details. Interested? Download the RC from our confluence page If you’re on Ubuntu 16.04 or

PyCharm 2018.2 EAP 7 is out! Get it now from the JetBrains website. In this EAP we fixed lots of bugs in various subsystems and integrated features and bug-fixes recently added to WebStorm and DataGrip. Read 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. PyCharm 2018.2 is in development during the EAP phase, there

The third Early Access Program (EAP) version of PyCharm 2018.2 is now available. We’d like to invite you to download this version from our website. New in PyCharm 2018.2 EAP 3 pytest fixtures support With pytest fixtures you can create small test units which can be reused across the testing module simply by adding the @pytest.fixture decorator to them. In this EAP we introduce pytest fixtures support, including: pytest fixture names autocompletion support for pytest fixtures with the “name” parameter pytest.mark.parametrize supporting tuples for fixtures names and more Try pyte