Skip to content

SakarZaidan/DSA-Python-Notes

Repository files navigation

DSA-Python-Notes

Repository Overview

This repository contains comprehensive notes and code implementations for fundamental Data Structures and Algorithms (DSA) concepts in Python. It's designed to assist learners in mastering DSA principles and their practical applications.

Key Topics Covered

Arrays:

-Introduction to arrays

-Array operations (insertion, deletion, searching, sorting)

-Array-based data structures (stacks, queues)

Binary Search:

-The binary search algorithm

-Applications of binary search

DFS and BFS:

-Depth-First Search (DFS) traversal

-Breadth-First Search (BFS) traversal

-Graph traversal algorithms

Dynamic Programming:

-The dynamic programming paradigm

-Common dynamic programming problems (e.g., Fibonacci, knapsack, longest common subsequence)

Graphs:

-Graph representations (adjacency matrix, adjacency list)

-Graph algorithms (DFS, BFS, Dijkstra's algorithm, Bellman-Ford algorithm, etc.)

Hashing:

-Hash functions and hash tables

-Collision handling techniques

Heaps:

-Heap data structure (min-heap, max-heap)

-Heap operations (insertion, deletion, heapify)

-Applications of heaps (priority queues, heap sort)

Linked Lists:

-Singly linked lists

-Doubly linked lists

-Circular linked lists

Queues:

-Queue data structure

-Queue operations (enqueue, dequeue)

-Applications of queues

Recursion:

-Recursive functions and problem-solving

-Recursion vs. iteration

Sorting Algorithms:

-Bubble sort

-Selection sort

-Insertion sort

-Merge sort

-Quick sort

-Heap sort

Stacks:

-Stack data structure

-Stack operations (push, pop)

-Applications of stacks (function calls, expression evaluation)

Backtracking and Tree and Maze Problems:

-Backtracking algorithm

-Tree and maze traversal algorithms

Bit Manipulation:

-Bitwise operators

-Bit manipulation techniques

How to Use This Repository

Explore the Notes:

Read through the detailed explanations and code examples for each topic. Understand the underlying concepts and algorithms. Practice with Code:

Experiment with the provided code snippets and modify them to solve different problems. Write your own implementations to reinforce your understanding. Solve Problems:

Practice coding problems on platforms like LeetCode, HackerRank, and Codewars. Apply the DSA concepts you've learned to solve these problems. Contribute:

If you find any errors or have suggestions for improvement, feel free to create a pull request. Contribute your own solutions or explanations to help others. Let's Learn DSA Together!

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published