Roadmap to DSA in Python:

If you have mastered basic of Python, then start DSA with below structured list of topics you should focus on, in logical progression:

1. Essential Data Structures
Start here to build your foundation:
✅ Arrays / Lists
✅ Strings
✅ Stacks
✅ Queues (including Deque)
✅ Hash Maps / Hash Sets (Python: dict, set)
✅ Linked Lists (Singly & Doubly)
✅ Trees (Binary Trees, Binary Search Trees)
✅ Heaps / Priority Queue
✅ Graphs (Adjacency List/Matrix)


2. Algorithmic Fundamentals
Core logic and problem-solving strategies:
✅ Recursion & Backtracking
✅ Sorting Algorithms (Bubble, Insertion, Merge, Quick)
✅ Searching Algorithms (Linear, Binary Search)
✅ Two Pointers
✅ Sliding Window
✅ Prefix Sum
✅ Divide & Conquer


3. Advanced Algorithms
Once you're comfortable with the basics:
✅ Dynamic Programming (DP)
✅ Greedy Algorithms
✅ Graph Algorithms
- DFS / BFS
- Dijkstra’s Algorithm
- Topological Sort
- Union-Find (Disjoint Set)
✅ Trie (Prefix Tree)
✅ Segment Trees / Fenwick Trees (optional, advanced)


4. Problem Solving Practice
Use platforms like:
LeetCode
HackerRank
Codeforces
GeeksforGeeks
InterviewBit

Note; Start with easy problems, then gradually move to medium and hard.

5. Projects & Implementation
Build mini-projects to cement your learning:
Pathfinding in mazes (Graph)
Expression evaluator (Stack)
Autocomplete system (Trie)
Task scheduler (Heap)
File deduplication (Hashing)


Suggested Learning Order (Simplified)
Arrays & Strings
Hashing
Two pointers / Sliding window
Stack & Queue
Linked Lists
Binary Trees & BSTs
Recursion & Backtracking
Sorting & Searching
Greedy
Dynamic Programming
Graphs
Tries & Advanced topics

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⦁ Weather App using OpenWeather API
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⦁ File Organizer Script
⦁ Email Sender
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⦁ Dashboard Basics

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