In this Flask tutorial you will learn how to create a simple Flask application in a few minutes. By providing simple Flask web app example we will demonstrate how to get started with a Flask project and run your Flask app in PyCharm.

DataSpell 2022.2 is here and ready to give your data science work an efficiency boost. Merging diverged notebooks is now straightforward with the visual merge tool, as DataSpell 2022.2 allows you to review them as two notebooks open side by side, highlighting the changes in the cells. Support for WSL allows you to create WSL-based projects as well as interpreters and to work in the Python console and the terminal directly in DataSpell. Code insight for your Python and Jupyter files is provided too.

Working with new and rapidly evolving technologies can be challenging as you often find yourself reading documentation and getting used to new syntax, APIs, and protocols. PyCharm 2022.2 will help you in this journey by providing support for Python 3.11 language features and the new PyScript framework.

You can get the new build from our website, via the free Toolbox App, or by using snaps for Ubuntu.  To familiarize yourself with the most notable updates in v2022.2, browse the PyCharm 2022.2 EAP section of our blog. This release candidate also delivers some updates we haven’t previously covered, so read on for the latest news.  New action to generate tables of contents in Markdown files It’s now possible to easily generate tables of contents in Markdown files based on the document headers. This new action is available from the Insert and Generate popup menus that you can i

Easy access to relevant, safe data is a major bottleneck hindering developers and data scientists. But what if you could generate your own accurate, privacy-protected, shareable data?  Synthetic data can provide an inexpensive alternative to real sets of data that can’t be used due to its sensitivity or regulations. Such data is used for training machine learning models, testing, and performing quality assurance.  In this webinar with Mason Egger, we'll learn about using Synthetic Data, and we’ll learn how to get started creating our own Synthetic Data. Join us on July 2

With the major release of PyCharm 2022.2 quickly approaching, we are putting the finishing touches on the new features and enhancements. At this stage, we are particularly keen to get your feedback so we can make the major release as smooth as possible. Please share your feedback in the comments to this post, in our issue tracker, or on Twitter. A new build is available from our website, via the Toolbox App, or as a snap package (if you are using Ubuntu). If you are on macOS, there is a separate build for Apple Silicon (M1 chip).  Here are some notable fixes we added t

In this EAP release we looked into improvements for Docker and further enabling WSL support. A new build is available from our website, via the Toolbox App, or as a snap package (if you are using Ubuntu). If you are on macOS, there is a separate build for Apple Silicon (M1 chip).  Important: EAP builds are not fully tested and might be unstable. Improvements for Docker Upload local Docker image to other connections You can now copy images from one Docker daemon to another using the new Copy Docker Image action. It saves the image to a file and then pushes it t

Repeatedly running queries that span multiple tables can be burdensome on your database. In this blog post, we’re going to talk about materialized views, how and why they help us cut down on query costs, and how to integrate them into your Django application. Read on to learn more or check out this video overview. What is a materialized view Materialized views are usually used to increase the performance of query retrieval, as they are cached, precomputed datasets derived from queries. Generally, you can benefit most from using a materialized view if the query is run frequently and the d