A dedicated repository for solving easy-level LeetCode problems using Python, focused on strengthening my Data Structures & Algorithms (DSA) foundation.
This repository serves as a structured, long-term preparation resource for mastering problem-solving in Python, with a focus on data structures and algorithms commonly tested in technical interviews.
It is designed for individuals aiming to:
- Strengthen core algorithmic thinking through consistent, high-quality practice
- Gain fluency in solving real-world DSA problems under time constraints
- Prepare for technical interviews at top-tier software companies and high-impact engineering teams
- Build a well-documented reference of reusable patterns and scalable coding techniques
Each solution is implemented with clarity and purpose, balancing readability with technical depth.
The overall structure is crafted to support both personal growth and professional readiness in competitive software engineering environments.
Each topic includes classic patterns frequently asked in interviews by FAANG and top-tier companies.
- ✅ Arrays & Hash Maps – Searching, frequency counting, duplicates, merging
- ✅ Strings & Stacks – String manipulation, palindrome checks, parentheses validation
- ✅ Linked Lists – Reversal, cycle detection, list merging, deletion
- ✅ Recursion & Binary Search – Divide & conquer, search strategies, math problems
- ✅ Trees (DFS / BFS) – Depth calculation, traversal, tree comparison
- ✅ Sliding Window – Substring analysis, window shifting for optimization
- 🔁 Concept Review (Day 26–30) – Final week for mixed practice & revision
This roadmap is based on a 30-day structured learning plan focused on Python and LeetCode’s most frequently asked topics.
- Build confidence in solving easy-to-medium LeetCode problems through consistent daily practice
- Learn and apply common problem-solving patterns like hash maps, two pointers, and sliding windows
- Write clean and well-organized Python code that’s easy to read, test, and improve
- Create a personal reference for reviewing core data structures and algorithms before interviews
| Tool / Environment | Purpose |
|---|---|
| 🐍 Python 3.10+ | Core language for all implementations |
| 📘 LeetCode | Problem source and validation platform |
| 💻 VS Code / 📓 Jupyter | Local development and explanation |
| 🧪 Test Cases | Used for selected problems for manual verification |
Each day includes:
- ✅ Two LeetCode problems chosen to reinforce a specific DSA topic
- 🧠 Code with clear explanations and time/space complexity analysis
- 📁 Daily folders (
day-01/,day-02/, ...) for organization and clarity - 📄 PROGRESS.md to track consistency and completion over time