I have some basic familiarity with Python, but I'm currently pursuing a non-technical undergraduate degree and want to transition into technology later. Should I continue with Python or start learning C++ for data structures and algorithms? I'm mainly wondering which choice would be more useful for building skills and finding a job in the current market. Any advice on what learning path to follow would be appreciated.
3 Answers
Learn Python first and use it to get comfortable with programming fundamentals. Once you understand variables, functions, loops, data structures, and basic algorithms, picking up C++ will be much easier. You don’t need to master both languages immediately; focus on consistently practicing and building things.
Start with Python, especially since you already know a little of it. Don’t choose a language only because of the current job market—languages change in popularity, but problem-solving and programming fundamentals remain valuable. Learn the basics well enough to write simple programs without constantly checking syntax, then practice by building small projects. For DSA, try implementing a linked list with insertion, deletion, traversal, and reversal. After that, move on to structures and algorithms such as binary search trees and quicksort. Use your own reasoning first, and rely on documentation or books when you get stuck rather than copying solutions.
Python is a good choice for getting started and understanding the bigger picture. Later, learning C or C++ can help you understand memory, performance, and how lower-level systems work. A practical path would be Python fundamentals, small projects, DSA practice, and then a lower-level language if your goals require deeper systems knowledge.
I’d prioritize learning the fundamentals directly rather than depending on AI-generated solutions. It’s fine to use tools for explanations later, but solving problems yourself is what builds the skill.
Thank you, this gives me a much clearer starting point.