I'm a math major, and next semester I have the chance to take programming classes. However, I've only had minimal exposure to coding. I'm required to take these classes throughout my degree, so skipping them isn't an option. I want to know if experienced programmers think it's wise to take both an introductory course in R and Python simultaneously or if I should focus on one at a time. I consider myself a fast learner, so I'm curious about the best approach to learn these languages effectively.
5 Answers
As a math major, knowing a programming language can really boost your CV and job prospects in many areas like statistics and data science. However, starting with one language and mastering it before moving on to the next is usually more effective. It minimizes confusion and helps solidify your skills.
You mentioned that you need to take these classes anyway, so just go for it! If you're looking to prep before the semester starts, there's no harm in diving into either R or Python now to get a head start.
It really depends on your end goals. I work as a data scientist, and I learned R first, then Python. In hindsight, I wish I'd learned Python first because it helps in understanding related fields like data engineering better. Also, I don't recommend tackling both languages together since it complicates the learning process.
If you've got minimal coding experience, I would recommend starting with Python first, then moving on to R afterward. Once you've grasped the fundamentals of programming, picking up a new language is much easier. Handling both at once can be confusing, especially at the start.
It's probably doable, but I suggest you avoid taking both classes at the same time. Learning them one after the other would likely make it easier to grasp key concepts without getting them mixed up.

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