Master Python and Data Structures & Algorithms (DSA) in 60 Days

Are you dreaming of mastering Python programming and Data Structures & Algorithms (DSA) quickly and effectively? Whether preparing for coding interviews, competitive programming, or building a strong foundation for software development, this comprehensive 2-month roadmap will help you learn systematically and build real-world skills by practicing daily and completing hands-on projects.

Week-by-Week Python & DSA Learning Plan

Weeks 1-2: Python Fundamentals
Start by setting up your environment and learning Python basics—variables, data types, operators, conditional statements, loops, functions, and modules. Practice problems on coding platforms like HackerRank or LeetCode to solidify your understanding.
(Reference: LinkedIn Roadmap)

𝐏𝐚𝐲 𝐀𝐟𝐭𝐞𝐫 𝐏𝐥𝐚𝐜𝐞𝐦𝐞𝐧𝐭 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐏𝐫𝐨𝐠𝐫𝐚𝐦- 𝐆𝐞𝐭 𝐏𝐥𝐚𝐜𝐞𝐝 𝐈𝐧 𝐓𝐨𝐩 𝐌𝐍𝐂'𝐬

Weeks 3-4: Data Structures Basics and Intermediate Python Concepts
Explore lists, tuples, sets, dictionaries, and string manipulation. Learn object-oriented programming concepts such as classes, inheritance, encapsulation, and polymorphism. Practice implementing data structures like arrays and linked lists, and solve intermediate problems.
(Reference: GeeksforGeeks Two-Month Plan)

Weeks 5-6: Advanced Data Structures and Algorithms
Begin working with stacks, queues, trees, graphs, and algorithms like searching, sorting, and traversal methods. Understand algorithm analysis, Big O notation, and start solving problems based on recursion and dynamic programming.
(Reference: Programiz Python DSA Roadmap)

Weeks 7-8: Problem Solving, Projects, and Interview Preparation
Solve diverse problems, review concepts, and conduct mock interviews. Work on small projects to apply your knowledge. Focus on optimized code, tackling graph problems, segment trees, and practice coding contests to build confidence under time constraints.
(Reference: Scribd Fullstack Dev Roadmap)

Why Follow This Roadmap?

Well-structured and paced for beginners and intermediate learners
Covers practical coding problems used by tech companies globally
Builds core programming skills and algorithmic thinking
Balanced mix of theory, hands-on coding, and project work
Helps build confidence for interviews and competition preparation

Tools to Complement Your Learning

Use online judges like LeetCode, HackerRank, and CodeChef for problem practice. Leverage GitHub to host projects and track your progress with version control. Join communities such as Stack Overflow and Reddit for doubt-clearing and tips.

Start your coding journey today with dedication and this roadmap as your guide. For detailed day-wise schedules, practice problems, and project ideas, check out the full guide here:
Complete Python & DSA Roadmap (Google Doc)

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