Is it better to focus on Data Structures and Algorithms or continue building Python projects?
Asked by
CleverSquirrel23
I've been learning the fundamentals of Python and object-oriented programming for some time now. I've successfully created a few small projects like a bank management system and an expense tracker, so I feel comfortable with classes, functions, and general project organization. I'm now at a crossroads and unsure whether I should dive into learning Data Structures and Algorithms (DSA) or keep building more Python projects. If DSA is the right choice, how in-depth should I go initially while still enhancing my development skills? I'm interested in hearing others' experiences transitioning between projects and DSA (or the other way around).
Answers
It really depends on your goals. What do you want to achieve with Python? If you're aiming for a career in something like Machine Learning, understanding DSA is crucial. But if you want to strengthen your overall Python skills first, keep building projects that interest you and incorporate different concepts as you go.
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I think it's really important to use tools to solve problems to get the hang of them. DSA is just that—tools for problem-solving. If you understand them, you'll enhance your programming skills overall. So, maybe mix both? Build a project that lets you apply DSA concepts directly!
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