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Book Overview & Buying
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Table Of Contents
DSA In Python + Top 130 Leetcode Problems for MAANG
By :
DSA In Python + Top 130 Leetcode Problems for MAANG
By:
Overview of this book
This course offers a comprehensive guide to mastering Data Structures and Algorithms (DSA) with Python, focusing on solving over 130 Leetcode problems often asked in MAANG interviews. Starting with the basics—arrays, linked lists, stacks, queues, and trees—you will progress to advanced topics like dynamic programming, graphs, and heaps. Each problem is tackled step by step through live coding sessions, allowing you to understand the thought process behind the solution.
You’ll also learn how to analyze time and space complexity, an essential skill for optimizing solutions in coding interviews. The course covers multiple problem-solving techniques such as sliding window, two-pointer, binary search, recursion, and dynamic programming. Live coding demonstrations ensure you gain practical, real-time experience while optimizing algorithms.
By the end of the course, you’ll be equipped to solve coding challenges with confidence, armed with a solid understanding of algorithms and data structures. The course is designed for learners of all levels, offering both foundational concepts and advanced strategies to tackle coding interviews with ease.
Table of Contents (24 chapters)
Course Introduction
Time & Space Complexity
Arrays & Lists in Python
Sorting
Linked Lists
Hash Table Collision Resolution
Stacks Theory + Practice Problems
Array Pattern #1 - Sliding Window Method Theory + Practice Problems
Array Pattern #2 - Two Pointer Method Theory + Practice Problems
Array Pattern #3 - Math & Geometry Practice Problems
Binary Search
Binary Search Pattern #1 - Binary Search Over Sorted Arrays
Binary Search Pattern #2 - Binary Search Over Range
Binary Trees
Heaps Theory + Practice Problems
Binary Search Tree
Dynamic Programming
Disjoint Set Data Structure and Union Find Algorithms
Graphs
Bit Manipulation
Recursion & Backtracking
Strings
Advanced Data Structures - Segment Tree