Tips & Tricks

If you are like many Python developers out there you LOVE writing code! Tests? Not so much. Whether it’s the concept of testing or the interface of testing tools, testing is a chasm not all developers cross. The Visual Testing with pytest tutorial aims to bring Python testing to the masses, taking a new approach to first contact with Python testing. Join this journey with us and improve your testing skills in this 9-step tutorial! The tutorial As mentioned before, this tutorial was split into 9 steps. The idea is to make each step unique so you can watch and apply your lea

PyCharm started its life with Django support and our new release adds some useful improvements for Django coding. Let's take a look at support for custom Django tags in PyCharm Professional 2020.1. But First, One More Thing Maybe it's bragging, but we need to show one existing feature related to this topic. When you're in some general Python code and you need something imported, PyCharm will give you visual cue -- a warning -- as advanced notice: To fix it, Alt-Enter can do it for you. No need to stop what you're doing, go to the top, type in the import, then find your way back: But what abo

The release of Python 3.8 brought new features to the Python coding realm. The language is evolving according to its community's needs by addressing cases where new syntax or logic become necessary. From new ways of assigning expressions to restriction of usage of function declarations, calls, and variable assignations, this latest release presents new options to code. Of course, PyCharm couldn’t get behind, so we now support some of the major features coming with this new version. This article will walk you through the features currently supported by our latest PyCharm release. To try them

Hi there! Have you tried Jupyter Notebooks integration in PyCharm 2019.2? Not yet? Then let me show you what it looks like! In this blog post, we're going to explore some data using PyCharm and its Jupyter Notebook integration. First, of course, we'll need said data. Whenever I need a new dataset to play with, I typically head to Kaggle where I'm sure to find something interesting to toy with. This time a dataset called "Pizza Restaurants and the Pizza They Sell" caught my attention. Who doesn't love pizza? Let's analyze these pizza restaurants and try to learn a thing or two from it

React is obviously super-hot, TypeScript has recently become super-hot, and the combination is attracting increasing interest. Combined with Jest for test-driven development (TDD)…great developer experience. Want to see what our IDE has to offer for fullstack Python projects which use React frontends? We’re proud to release a long, LONG “under construction” tutorial series: React, TypeScript, and TDD. Videos, code, write-ups with screenshots, organized into 12 parts. And along the way, a formal unveiling of the PyCharm Guide, a compendium of resources for becoming a PyCharm badass. The Tutoria

What’s something you do all the time in Python? Import modules from packages. Not just that, you also fiddle with the formatting to make the style nannies happy. And remove unused imports. And bunches of other janitorial tasks. Let PyCharm be your janitor. PyCharm has tons of support to take over this mundane drudgery, from auto-import to re-organizing your import lines, with settings to customize its work. This support is both super-helpful and underappreciated. Let’s solve that with a deep dive on PyCharm’s import support, including new import styling features in PyCharm 2018.3. Zen C

Last week we published a blog post on the new pytest fixture support in PyCharm 2018.2. This feature was a big part of the 2018.2 work and proved to be a hit. But it wasn’t the only notable pytest work: 2018.2 also delivered support for behavior testing with pytest-bdd, a project that provides behavior testing with pytest as the test framework. Our What’s New in 2018.2 video gave a quick glimpse of this support. Let’s rewrite the tutorial from last week, showing the pytest-bdd support instead of simply working with fixtures. Behavior-driven-development (BDD) support is a part of PyCharm Profes

Python has long had a culture of testing and pytest has emerged as the clear favorite for testing frameworks. PyCharm has long had very good “visual testing” features, including good support for pytest. One place we were weak: pytest “fixtures”, a wonderful feature that streamlines test setup. PyCharm 2018.2 put a lot of work and emphasis towards making pytest fixtures a pleasure to work with, as shown in the What’s New video. This tutorial walks you through the pytest fixture support added to PyCharm 2018.2. Except for “visual coverage”, PyCharm Community and Professional Editions share all t

Python 3.7 is set to be released this summer, let’s have a sneak peek at some of the new features! If you’d like to play along at home with PyCharm, make sure you get PyCharm 2018.1 (or later if you’re reading this from the future). There are many new things in Python 3.7: various character set improvements, postponed evaluation of annotations, and more. One of the most exciting new features is support for the dataclass decorator. What is a Data Class? Most Python developers will have written many classes which looks like: class MyClass: def __init__(self, var_a, var_b): self.var_