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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.
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This course includes

168 Playgrounds
65 Challenges
24 Quizzes
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Course Overview
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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
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 i...Show More

Course Content

1.

Introduction to Complexity Measures

22 Lessons

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

2.

Introduction to Lists

26 Lessons

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

3.

Introduction to Linked Lists

30 Lessons

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

4.

Introduction to Stacks and Queues

25 Lessons

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

5.

Introduction to Graphs

26 Lessons

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.

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.

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Frequently Asked Questions

What are the data structures for coding interviews in Python?

For coding interviews in Python, focus on these essential data structures:

  • Lists: Used for dynamic arrays that support fast access, insertion, and deletion.
  • Dictionaries: Implement hash tables for efficient key-value storage and lookups.
  • Sets: Store unique elements and provide fast membership checks.
  • Tuples: Immutable sequences used for fixed-size collections.
  • Queues and stacks: Use collections.deque for double-ended queues, which can also efficiently implement stacks and queues.
  • Heaps: Use heapq for priority queues.
  • Linked lists, trees, and graphs: Implement manually using classes to handle more complex problems.

Mastering these structures and their operations will prepare you well for Python coding interviews.

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