Behind the Build

If you’ve taken one of our data science courses, you’ve probably seen Jupyter Notebooks, the industry-standard workspaces for developing data science code and visualizations. Jupyter Notebooks are built right into lessons in many of our courses and paths — like Getting Started with Python for Data Science and Introduction to Big Data with PySpark —…

As you’re working through one of our courses or paths, you’ll occasionally come across a screen reminding you to practice — we’re not nagging you or trying to interrupt your flow. This is an AI-powered feature called smart practice that essentially helps you hack your study sessions, so you practice the right material at the…

There’s a pretty good chance that right now you’re reading our blog on a mobile device like your phone or tablet — statistics show that over half of all web traffic comes from mobile devices. Next time you’re looking for something to scroll, head over to Codecademy. We recently updated our platform so that now…

As the year comes to a close, we went through data about learners in our community and pulled together some of the greatest highlights of 2023, called Code Review. This is basically a data-driven deep dive into the topics that learners like you connected with, the projects you all worked on, and the courses you…

It’s one thing to make it to the end of a course — it’s another to know what skills you’ve actually gained from it. Whether you’re switching careers, leveling up in your current role, or just trying to stay sharp, it can be hard to pinpoint what you know and how well you know it. …

Talking through your coding questions or roadblocks is one of the best ways to overcome them. And while a quick chat with your teammate or a rubber duck typically does the trick, there’s a faster and more interactive way to make progress and work through problems as you learn: the AI Learning Assistant.  We’ve combined…