What are some popular python programming challenges?

Python is one of the most popular programming languages today, and many developers are getting started with it. To help those just learning the language, there are plenty of python programming challenges to take on that can help you gain valuable experience and give your skills a real boost. Here are some of the most popular Python programming challenges you can take on.

1. Project Euler: This is a great place to get your feet wet with Python programming. Project Euler consists of various mathematical problems that you must solve using code written in Python. It covers topics such as prime numbers, fibonacci sequences, and more, using algorithms and loops. This challenge is perfect for someone just starting out with Python programming and provides valuable practice solving mathematical problems with code.

2. Hackerrank: Another popular challenge platform is Hackerrank, which has plenty of useful tasks that range from beginner level to more advanced topics such as artificial intelligence and machine learning. You can also use it to practice data structures like trees or linked lists by seeing how fast your solutions run when tested against an automated judge.

3. Computer Vision Projects: If you're looking for something more visually engaging and don't mind getting your hands dirty working with images or videos then computer vision projects may be for you. Tasks include everything from detecting objects in images to building facial recognition systems or teaching robots how to juggle spheres in simulation environments by applying deep learning solutions that utilize neural networks or reinforcement learning algorithms written in python code.

4. Automation Scripts: Automation scripts are great projects if you'd like to practice automating mundane tasks such as file management, downloading/uploading/moving data between locations, interacting with web browsers or websites via cURL requests, and more using both the open source libraries available in python (Beautiful Soup & Selenium) as well as custom python code you write yourself using basic commands learned in an introductory course like at Codecademy or the official python guide itself(https://docs.python.org/3/).