4 week study plan prepares for senior Python interviews

Week 1: Core Python & Fundamental Data Structures

• Goals: Master Python fundamentals, arrays, strings, and basic data structures.

• Daily Tasks:

  • Review Python syntax, data types, control flow, functions, class design.

  • Solve 3-4 problems/day focusing on arrays, strings, and hash tables (easy to medium).

  • Practice reverse, rotate arrays, string manipulations, and hashing problems.

  • Spend time on coding platforms like LeetCode/CodeSignal with core problems.

  • Weekly self-assessment on problem-solving speed and correct solutions.

Week 2: Advanced Data Structures & Algorithms

• Goals: Deep dive into trees, graphs, recursion, and dynamic programming.

• Daily Tasks:

  • Learn tree traversals, graph search algorithms (BFS/DFS), and recursion optimizations.

  • Solve 4-5 medium problems involving binary trees, graph problems, memoization, tabulation.

  • Practice questions like Lowest Common Ancestor, Pathfinding, and Tree Diameter.

  • Review solutions, analyze complexity, and optimize code.

Week 3: System Design & Coding Optimization

• Goals: Understand system design principles, trade-offs, and complex problem solving.

• Daily Tasks:

  • Study system design basics: load balancing, caching, microservices, database scaling.

  • Practice designing small systems (URL shortener, cache system, social feed) in 1-2 days.

  • Solve challenging coding problems involving backtracking, segment trees, tries, and heaps.

  • Participate in mock interviews focusing on problem explanation and trade-offs.

Week 4: Mock Interviews & Final Polishing

• Goals: Prepare for real interview conditions, refine communication, and troubleshoot weak areas.

• Daily Tasks:

  • Complete 2-3 full mock interviews with timing constraints.

  • Focus on explaining your thought process clearly and solving problems within time limits.

  • Review past errors, revisit difficult problems, and optimize solutions.

  • Study behavioral questions, resume presentation, and problem-solving methodology.

Additional Tips:

• Allocate 2-3 hours daily: 50% problem-solving, 30% review, 20% system design/behavioral prep.

• Maintain a journal of problems, solutions, and key learnings.

• Engage with peer groups or mentors for feedback and motivation.

Final note:

Consistency and focused practice are critical. By following this structured 4-week plan, you'll build confidence, deepen problem-solving skills, and be well-prepared for senior Python interviews at top-tier companies.