The JetBrains Blog

We live in a world where things change at a rapid pace, and the latest and greatest quickly becomes outdated. The same goes for deploying applications to servers. You used to have to physically travel to a data center to deploy your changes. Later on, we moved to VMs. Then containers came along and …

As a language that emerged over 14 years ago, Go has many use cases. From web development, APIs, and CLIs to Wasm, cloud technologies, and even AI-powered tools, its applications are broad.  The same goes for demo projects, which have countless variations and purposes! Now, wouldn’t it be…

Learn how you can optimize deploying Django apps in a Kubernetes environment, whether you are a Django developer or a Kubernetes enthusiast.

Introduction If you’re new to web development and have only recently heard of “Frameworks” as a method of speeding up your application development, then you’re in the right place. Today, we’ll explore the two most popular web frameworks in the Python ecosystem currently, namely Django and FastAPI…

PyCharm 2023.3 introduces a plethora of features for Django development: Django Structure tool window, Live preview for Django templates, enhancements in code assistance for the Django REST framework, and more! This release is poised to enhance the productivity of developers work…

Hello everyone! As 2023 draws to a close, our reasons for celebration extend well beyond the upcoming holidays and vacation. Exciting developments await in the technology realm, including the unveiling of Python 3.12 and the much-anticipated Django 5.0. This latest release of our Python-based web…

Discover the Django web framework. Understand its key benefits for rapid, secure, and scalable web app development.

Python 3.12 made its debut on October 2, 2023, in keeping with the annual tradition of releasing new versions every October. This latest iteration introduces a range of new features and enhancements that we will delve into in this blog post. For a comprehensive list of changes, you can refer to t…

Learn how to build and run your applications both in a local Kubernetes cluster (Docker Desktop or Minikube) and remotely in Google Kubernetes Engine using Cloud Code and PyCharm.