Data Structures for Coding Interviews in Python

Explore proven strategies developed by FAANG engineers to ace coding interviews with a structured approach to data structures in Python. Prep faster with real-world questions.

Beginner

228 Lessons

30h

Certificate of Completion

Explore proven strategies developed by FAANG engineers to ace coding interviews with a structured approach to data structures in Python. Prep faster with real-world questions.

AI-POWERED

Code Feedback
Mock Interview
Explanations

AI-POWERED

Code Feedback
Mock Interview

This course includes

168 Playgrounds
65 Challenges
24 Quizzes

This course includes

168 Playgrounds
65 Challenges
24 Quizzes

Course Overview

Data structures are amongst the most fundamental concepts of Computer Science. The data structure chosen can make or break an entire computer program. Consequently, they are also largely categorized as a vital benchmark of computer science knowledge when it comes to industry interviews. This course contains a detailed review of all the common data structures and provides implementation level details in Python to allow readers to become well equipped. Now with more code solutions, lessons, and illustrations ...Show More

Course Content

1.

Introduction to Complexity Measures

Sharpen your skills in evaluating the time and space complexity of algorithms.
2.

Introduction to Lists

Unpack the core of lists and arrays in Python, and tackle essential list manipulation challenges.
3.

Introduction to Linked Lists

Examine the fundamentals, operations, and challenges of singly and doubly linked lists.
4.

Introduction to Stacks and Queues

Grasp the fundamentals of stacks and queues, their implementations, and practical challenges.
5.

Introduction to Graphs

Dig into graph concepts, representations, algorithms, and their practical applications in coding.
6.

Introduction to Trees

38 Lessons

Focus on trees' structures, properties, and traversal methods, covering binary, AVL, and Red-Black Trees.
7.

Trie

14 Lessons

Build on understanding trie structures, their operations, and solving challenges using them.
8.

Introduction to Heap

12 Lessons

Learn how to use heaps for efficient sorting, priority queues, and element retrieval.
9.

Introduction to Hashing

33 Lessons

Walk through hash table fundamentals, efficient operations, implementation strategies, and algorithmic challenges.
10.

Summary of Data Structures

2 Lessons

Examine linear and non-linear data structures, their complexities, and practical applications.

Course Author

Part of the Java Interview Prep Path


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