DSA: Data Structures & Algorithms in Python

📌 Overview

Welcome to the Data Structures & Algorithms (DSA) journey using Python! This repository contains all the notes, code implementations, practices, and resources to help you master DSA.

📖 Course Progress

🔹 Week 1: Fundamentals

• Big O Notation (Time & Space Complexity)
• Arrays (Operations, Accessing, Searching, Slicing)
• Recursion Basics
• Hash Tables
• Collision handling in hash tables

🔹 Week 2: Linked Lists & Stacks

• Singly
• Doubly Linked Lists
• Stack (LIFO)
• Queue (FIFO)

🔹 Week 3: Sorting and Searching Algorithms

• Bubble Sort
• Selection Sort
• Insertion Sort
• Merge Sort
• Quick Sort
• Heap Sort
• Binary Search

🔹 Week 4: Trees, Binary Trees, and Binary Search Tree (BST)

• Binary Trees & Binary Search Trees
• Binary Search Tree (BST)
• Node deletion in BST
• In-order-traversal
• Pre-order-traversal
• Post-order-traversal
• Graphs & BFS/DFS Traversals

🔹 Week 5: Advanced DSA & Interview Prep

• Dynamic Programming (Memoization, Tabulation)
• Greedy Algorithms & Backtracking
• Common Coding Interview Problems

📚 Resources

🔹 Books

• Grokking Algorithms – Aditya Bhargava
• Cracking the Coding Interview – Gayle Laakmann McDowell

🔹 YouTube Channels

• NeetCode (Great for coding interviews)
• CS Dojo (Beginner-friendly explanations)
• freeCodeCamp (Full DSA courses)

🔹 Practice Platforms

• LeetCode – DSA problems for interviews
• HackerRank – Step-by-step challenges
• GeeksforGeeks – Theory & implementation

🚀 How to Use This Repository

• 📂 /notes – Concept explanations & Big O analysis
• 📂 /implementations – Python implementations of DSA concepts
• 📂 /practice – Coding challenges & solutions

🔥 Let's crack coding interviews and master DSA together! 🔥