How do I get started with programming in scientific computing and what resources should I use?

I totally get where you're coming from - it can be tough to know where to start when it comes to learning programming in scientific computing. From my understanding, Python is definitely one of the most commonly used languages in this field, especially with libraries like NumPy, pandas, and matplotlib that are super powerful for data analysis and visualization.

I'd recommend checking out some online resources like Codecademy's Python course, Coursera's Scientific Computing with Python specialization, or even edX's Python for Data Science course. These resources can give you a solid foundation in Python and expose you to some of the most popular libraries and tools used in scientific computing. Additionally, you can also try searching for YouTube tutorials or blogs that focus on scientific computing with Python - there are tons of great resources out there!

As for specific libraries or tools, I think it's worth getting familiar with NumPy, pandas, and matplotlib, as they're basically a must-have for any data analysis or visualization project. If you have time, you could also look into other libraries like scikit-learn (for machine learning), OpenCV (for image processing), or PyTorch (for deep learning). But honestly, you can't go wrong with just focusing on Python and getting good at it - it's versatile enough to cover a lot of ground in scientific computing.

Lastly, don't be afraid to work on projects that interest you and experiment with different libraries and tools. That's really the best way to learn and have fun with programming in scientific computing!