PyCharm

Whether you’re starting a new project or expanding an existing one, as a data scientist, you’re always on the lookout for new material to explore. Knowing where to get data for data science projects can be challenging, and finding “good data” can be even more difficult. In this article, we’ll look at what makes “good data”, what format that data might be in, where to find it, and what the next steps are. 

Looking to experiment or build your portfolio? Discover creative Django project ideas for all skill levels, from beginner apps to advanced full-stack projects.

Read this article to learn the difference between vanilla Jupyter notebooks and Jupyter Notebook support in PyCharm, a professional data science IDE.

Learn how to use FastAPI for machine learning. Explore the framework's benefits and why it's popular, and understand how to integrate it into your ML workflows.

Discover seven ways you can use Jupyter notebooks in PyCharm to explore and work with your data more quickly and effectively.

Read this guide to learn how to use Jupyter notebooks in PyCharm to boost your productivity when working with data.

Discover how LangChain lets chatbots interact with LLMs, and follow this guide to build a context-aware chatbot that delivers accurate, relevant responses.

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.