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Struggling with DSA as a bio student? Here is your perfect guide:
- Key prerequisites for learning Data Structures and Algorithms (DSA) as a biology student include understanding variables, data types, conditional statements, loops, functions, arrays, basic error handling, etc.
- Starting with Python is recommended for beginners due to its simple syntax and beginner-friendly nature. You can begin with basics like printing patterns, calculating factorial, checking prime numbers, and reversing strings or numbers.
- Beginner resources to start programming include FreeCodeCamp Python Tutorial on YouTube, W3Schools Python, and CS50 by Harvard on edX, which is excellent for beginners even from non-CS backgrounds.
- Once comfortable with programming, you can progress to learning DSA topics like arrays, strings, linked lists, stacks, queues, recursion, trees, graphs, and searching/sorting algorithms through platforms like GeeksforGeeks, LeetCode, and CodeStudio by Coding Ninjas.
- The final tip emphasizes that coming from a biology background does not limit one's ability to learn coding or DSA. Success in this field is achievable with a step-by-step approach, consistency, and regular practice.
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