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

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

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_

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 from the Python Developer Survey 2017 that was jointly conducted by JetBrains and the Python Software Foundation. To start, let’s create a scientific project. After opening PyCharm Professional Editi

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. If we want to develop in an environment similar to our production environment, how could we approach this? The closest would be to set up a second VM for development purposes. So let’s have a look t

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 prepare this application for production, let me know in the comments! This blog post was written on Ubuntu; it should work as well on macOS. There are some difficulties on Windows with the SSH config

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 make this application better. We’ll use the following: Flask Flask-RESTful PostgreSQL, and pgmigrate for migrations The Ubuntu, Vagrant, Ansible stack introduced in the blog post last we

One of the things that could make developing cloud applications hard, would be differences between the dev environment and the production environment. This is why one of the factors of the twelve factor app is maintaining dev-prod parity. Today we’ll start a blog series about developing cloud applications, and we’ll discuss how to set up a local development environment using Vagrant. We’ll use these technologies for this application: Vagrant Ansible Flask Virtualenv Ubuntu Today we'll just create a simple Flask application that'll say 'Hello world'. In the next post in th

As some of you might know, until last week Reddit was open source. But we can still go to GitHub and check out a version of the source. So let’s go ahead and play around with it! Things you’ll need to follow along Reddit uses Vagrant to spin up a pre-configured development VM on demand. To be able to use it you’ll need: Vagrant VirtualBox Connecting to virtual machines for debugging is a feature that is only available in PyCharm Professional Edition. If you haven’t got it yet, you can get a free trial from our website. Check out Reddit To start, we need to get the code, so let’s