Python Data Structures and Algorithms: The Complete Bootcamp

Learn, analyze and implement data structures and algorithms in Python, with interview questions

  • 118 Videos
  • 19 hours 51 minutes
  • 98 Happy Students

About the course

Welcome to Python Data Structures and Algorithms: The Complete Bootcamp. This course will start your DSA journey as a beginner. This course touches on each and every important topic through concept, visualization, and implementation. The entire course is designed for beginners with one goal in mind, for you to to understand each and every concept from scratch.

Throughout the course, we will explore the most important Data Structures and Algorithms topics step-by-step:

  1. Essential Concepts
    • Big O Notation
    • Memory
    • Logarithms
    • Recursion
  2. Data structures:
    • Arrays
    • Linked Lists (Singly Linked List, Doubly Linked List, Circular Linked List)
    • Stacks
    • Queues
    • Hash Tables
    • Trees (Binary Tree, Binary Search Tree, AVL Trees, Red-Black Trees)
    • Heaps (Binary Heaps)
    • Tries
    • Graphs
  3. Algorithms:
    • Elementary Sorting Algorithms (Bubble Sort, Insertion Sort, Selection Sort)
    • Advance Searching Algorithms (Quick Sort, Merge Sort)
    • Tree Traversal Breadth-First Search: Level Order Traversal, Depth First Search: PreOrder, InOrder, PostOrder
    • Graph Traversal (Breadth-First Search, Depth First Search)
  4. Interview Questions
    • Two Sum
    • MinMax Stack
    • Design Linked List
    • Reverse Linked List
    • Construct Binary Tree
    • Invert Binary Tree
    • Construct Binary Search Tree
    • Detect Capital
    • Reverse String
    • Longest Palindromic Substring
  5. Why this course?

    • This course is focused on the concept learning approach; you’ll learn every concept through a logical and visual learning approach.
    • Learn all important concepts in the simplest possible way with tons of examples and quizzes.
    • You just need basic Python knowledge, we will cover everything step-by-step from scratch.

    Resources are here in this link.

  • 118 Videos
  • 19 hours 51 minutes
  • 98 Happy Students

Courses Outline

Lesson 1: Course Introduction
Free
Course Introduction
3:18
Curriculum Walkthrough
15:34
Code Source - Github
Lesson 2: Big O Notation
Lesson 3: Essential Concepts - I
Lesson 4: Data Structure - Introduction
Lesson 5: Data Structures - Array
Lesson 6: Data Structures - Linked List
Lesson 7: Data Structures - Stack and Queue
Lesson 8: Data Structures - Hash Tables
Lesson 9: Data Structures - Trees
Lesson 10: Data Structures - Heaps
Lesson 11: Data Structures - Trie
Lesson 12: Data Structures - Graph
Lesson 13: Essential Concepts - II
Lesson 14: Algorithm: Searching
Lesson 15: Algorithm: Sorting Elementary
Lesson 16: Algorithm: Sorting Advanced
Lesson 17: Algorithms: Tree Traversal
Lesson 18: Algorithms: Graph Traversal
Lesson 19: Implementations and Interview Questions
Lesson 20: Question 1: Two Sum
Lesson 21: Question 2: Min Stack
Lesson 22: Question 3: Max Stack
Lesson 23: Question 4: Design a Linked List
Lesson 24: Question 5: Reverse Linked List
Lesson 25: Question 6: Construct Binary Tree
Lesson 26: Question 7: Invert Binary Tree
Lesson 27: Question 8: Construct Binary Search Tree
Lesson 28: Question 9: Detect Capital
Lesson 29: Question 10: Reverse String
Lesson 30: Question 11: Longest Palindromic Substring
Lesson 31: Bonus - What's next?
  • 118 Videos
  • 19 hours 51 minutes
  • 98 Happy Students