Tutorials

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

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. Thi

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

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 o

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

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 s

You can use code cells to divide a Python script into chunks that you can individually execute, maintaining the state between them. This means you can re-run only the part of the script you’re developing right now, without having to wait for reloading your data. Code cells were added to PyCharm 2018.1 Professional Edition’s scientific mode. To try this out, let’s have a look at the raw data fro

One common cause of bugs in many applications is that development and production environments differ. Although in most cases it’s not possible to provide an exact copy of the production environment for development, pursuing dev-prod parity is a worthwhile cause. Most web applications are deployed to some sort of Linux VM. If you’re using a traditional web-host, this is referred to as VPS hosting.

In the last two blog posts of this series we discussed how to set up a local VM-based development environment for a cloud application, and then built a Flask-RESTful app within this environment. Today, we’ll take our app to AWS, and we’ll set up a remote development environment. The environment we’ll describe here is configured for development, not production. If you’re interested in seeing how to

In the previous blog post in this series, I created a Vagrant VM and provisioned it with Ansible for Python development. In this part, we’ll have a look at a larger application which is configured in the same way. In this post, I’ll introduce an application that I’ll be using for more blog posts in the future, so let me know in the comments if you have any cool ideas about what can be done to mak