Data Structures and Algorithms: In-Depth DSA using Python | Udemy

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[center][b]Data Structures and Algorithms: In-Depth DSA using Python | Udemy[/b]
English | Size: 10.38 GB
Genre: eLearning[/center]

Learn Python Data Structures, Algorithms (DSA) with Animated Examples, includes Dynamic Programming, Backtracking etc...

[b]What you'll learn[/b]
Learn Data Structures, Abstract Data Types and their implementation in Python
Implementation of Searching Algorithms in Python
Implementation of Stacks, Queues, Linked List, Binary Trees, Heaps and Graphs in Python
Implementation of Binary Tree Traversal Techniques in Python
Graph traversals techniques ie Depth First Search and Breadth-First Search in Python
Implementation of Sorting Algorithms in Python
Enhance Analytical Skill and efficiently use searching and sorting algorithms in real applications

This course will help you in better understanding of the basics of Data Structures and how algorithms are implemented in Python. This course consists of Videos which covers the theory concepts + implementation in python.

There's tons of concepts and content in this course:

Basics of data structures & Algorithms

Analysis of Algorithms (Big O, Time and Space complexity)

Recursion & Analysis of Recursive Algorithms

Searching Algorithms

Sorting Algorithms

Linked List

Stacks

Queues

Binary Trees

Binary Search Trees

Balanced Binary Search Trees

Priority Queues and Heaps

Hashing

Graphs

Graph Traversal Algorithms

Followed by Advanced Topics of Algorithms:

Sets and Disjoint Sets

Divide and Conquer Approach - Introduction

Divide and Conquer - Binary Search

Divide and Conquer - Finding Maximum and Mininum

Divide and Conquer - Merge Sort

Divide and Conquer - Quick Sort

Divide and Conquer - Selection Algorithm

Divide and Conquer - Strassens Matrix Multiplication

Divide and Conquer - Closest Pair

Divide and Conquer - Convex Hull

Greedy Method - Introduction

Greedy Method - Knapsack Problem

Greedy Method - Job Sequencing with Deadlines

Greedy Method - Mininum Cost Spanning Tree (Prim's & Kruskal's Algorithms)

Greedy Method - Optimal Storage on Trees

Greedy Method - Optimal Merge Pattern

Greedy Method - Single Source Shortest Path (Dijkstra's Algorithm)

Dynamic Programming - Introduction

Dynamic Programming - Multistage Graphs

Dynamic Programming - All Pairs Shortest Path

Dynamic Programming - Single Source Shortest Path

Dynamic Programming - Optimal Binary Search Trees

Dynamic Programming - 0/1 Knapsack Problem

Dynamic Programming - Reliability Design

Dynamic Programming - Travelling Salespersons Problem

Backtracking - Introduction

Backtracking - n-Queesn Problem

Backtracking - Sum of Subsets Problem

Backtracking - Graph Coloring Problem

Backtracking - Hamiltonian Cycles Problem

Backtracking - 0/1 Knapsack Problem

Branch & Bound - Introduction

Branch & Bound - n-Queens Problem

Branch & Bound - Job Sequencing Problem

Branch & Bound - 0/1 Knapsack Problem

Again, each of these sections includes detailed videos tutorial.

[b]Who this course is for:[/b]
Students who want to have better understanding of Data Structures
Python programmers curious about Data Structures
IT Professional experimenting implementation of Data Structures in Python

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