How-To's

This is a guest blog post by Adrian Boguszewski, author of OpenCV Image Viewer Plugin. The average programmer makes 70 errors per 1,000 lines of code and spends 75% of their time on debugging (source). In computer vision (CV), this process may involve not only fixing the code but also checking th…

Are you using the New UI yet? Not yet? Let me tell you why it's the best thing since sliced bread! Let’s get it enabled and take a look around. The easiest way to do that is from the Settings cog at the top-right of the UI: PyCharm will need to restart, but that’s it; you’re done! In t…

Sooner or later in your data science journey, you’ll hit a point where you need to get data from a database. However, making the leap from reading a locally-stored CSV file into pandas to connecting to and querying databases can be a daunting task. In the first of a series of blog posts, we’ll explo…

Making mistakes in your code is a pain, and debugging in Jupyter notebooks can get messy. While Jupyter helpfully displays the full Python traceback, which highlights the lines that have failed, working out exactly what caused the issue in your code can be tricky. I usually end up pulling my code ap…

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.

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 …