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Data Structures and Algorithms in Python

Discover data structures and algorithms using Python. Gain insights into solving real-world problems and typical interview questions with detailed reviews, explanations, and hands-on coding exercises.

4.5

88 Lessons

19h

Updated today

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LEARNING OBJECTIVES

Implement stack operations (push, pop, peek) and use stacks to solve LIFO-based problems in Python
Write stack-based functions to validate balanced brackets, reverse strings, and convert decimals to binary
Build singly, doubly, and circular linked list classes with insertion, deletion, and traversal methods
Apply pointer-based linked list algorithms (reverse, rotate, swap nodes, merge sorted lists, Nth-to-last)
Implement binary tree traversals and compute tree height and size using iterative and recursive methods
Implement BST insert/search and validate the BST property using in-order traversal and boundary checks
Apply binary search and bisect to solve closest, fixed point, bitonic peak, duplicates, sqrt, and rotated array tasks

Learning Roadmap

88 Lessons8 Quizzes14 Challenges

Introduction

Get familiar with data structures, algorithms, and fundamental Python problem-solving techniques.

What is this course about?

Stack

Get started with stacks in Python for LIFO operations, reversing strings, and decimal to binary conversion.

Stack Determine if Brackets are Balanced Reverse String Exercise: Convert Decimal Integer to Binary Solution Review: Convert Decimal Integer to Binary Quiz

Singly Linked Lists

18 Lessons

Examine singly linked lists, including creation, insertion, deletion, swaps, and more.

Circular Linked Lists

7 Lessons

Find out about circular linked lists, their operations, and applications in Python.

Doubly Linked Lists

9 Lessons

Solve problems in doubly linked lists involving appending, prepending, deleting, reversing, and finding sums.

Arrays

7 Lessons

Focus on array manipulation, algorithms for optimal task assignment, intersection, and stock trading.

Binary Trees

8 Lessons

Piece together the parts of binary tree structures, traversal methods, height, and size calculations.

Binary Search Trees

4 Lessons

Learn how to use binary search trees for organizing, inserting, and validating nodes.

Binary Search

11 Lessons

Walk through binary search applications, enhancing efficiency for sorted lists in Python.

10.

Recursion

6 Lessons

Work your way through recursive algorithms for string manipulation and integer multiplication.

11.

String Processing

11 Lessons

Grasp the fundamentals of Python string processing through sequences, conversions, and permutation checks.

Certificate of Completion

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Developed by MAANG Engineers

ABOUT THIS COURSE

Data structures and algorithms are among the most fundamental concepts of Computer Science. Whether it’s real-world problems you’re trying to solve or the typical coding question asked in an interview, almost every problem requires you to demonstrate a deep understanding of data structures and algorithms. This course is a detailed review of some of the most common data structures and algorithms that you’ll see in interviews and your everyday work. With implementation details, thorough explanations, and hands-on coding exercises, you’ll quickly gain the confidence you need to solve any problem, no matter the situation.

ABOUT THE AUTHOR

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Vincent Russo

Every Educative resource is designed by our team of ex-MAANG software engineers and PhD computer science educators — subject matter experts who've shipped production code at scale and taught the theory behind it. No videos, no fluff.

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