Planning a career as a programmer ? two learning tracks

 Track A: Language-first approach.

Start by mastering a general-purpose language such as Python. This builds core programming logic and problem-solving skills. Once comfortable, the learner can branch into adjacent domains—web development (Django/Flask), data analysis, automation, or basic machine learning. For example, a Python-first learner can move into backend APIs, data pipelines, or scripting roles across startups, healthcare IT, fintech, and enterprise automation. This track offers flexibility and faster entry into diverse roles.

Track B: Full-stack-first approach.
Begin with full-stack development, such as the MEAN stack (MongoDB, Express, Angular, Node.js). This provides an end-to-end understanding of building real-world applications—frontend, backend, databases, and deployment. After this, the learner should systematically study Data Structures and Algorithms (DSA): arrays, stacks, queues, linked lists, trees, and searching/sorting algorithms. For example, a full-stack developer with strong DSA can transition into product engineering, scalable system design, or high-performance backend roles.

Both tracks converge on DSA, which is essential for long-term growth, interviews, and building efficient, scalable software.

Use websites to practice coding and get placements in companies, win prize money:

LeetCode - The World's Leading Online Programming Learning Platform

Coding Challenges- Hiring and Prize Hackathons | TechGig

Code Gladiators - Largest Coding Contest in India | TechGig

You can do courses in 'data structures and algorithms' - some good courses:

Coursera | Online Courses From Top Universities. Join for Free

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