Python Data Structures A to Z
- Development
- May 05, 2025

Python Data Structures A to Z, available at $39.99, has an average rating of 4.05, with 15 lectures, 8 quizzes, based on 671 reviews, and has 18739 subscribers.
You will learn about An in-depth look at native Python data structures: Strings, Lists, Tuples, Sets and Dictionaries Intro to Queues, Stacks, Heaps, Linked Lists, Binary Search Trees and Graphs How each Data Structure works and how to Implement and use them in Python Pros and Cons of each Data Structure This course is ideal for individuals who are Beginner or intermediate Python programmers who want to gain a solid understanding of data structures. or Anyone who already knows another programming language and wants to learn general data structures used in programming, while learning Python. or This course will prepare students for an algorithms course. It is particularly useful for Beginner or intermediate Python programmers who want to gain a solid understanding of data structures. or Anyone who already knows another programming language and wants to learn general data structures used in programming, while learning Python. or This course will prepare students for an algorithms course.
Enroll now: Python Data Structures A to Z
Summary
Title: Python Data Structures A to Z
Price: $39.99
Average Rating: 4.05
Number of Lectures: 15
Number of Quizzes: 8
Number of Published Lectures: 15
Number of Published Quizzes: 8
Number of Curriculum Items: 23
Number of Published Curriculum Objects: 23
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
This course combines conceptual lectures to explain how a data structure works, and code lectures that walk through how to implement a data structure in Python code. All the code lectures are based on Python 3 code in a Jupyter notebook. All the code and presentations are available for download on Github.
Data structures covered in this course include native Python data structures String, List, Tuple, Set, and Dictionary, as well as Stacks, Queues, Heaps, Linked Lists, Binary Search Trees, and Graphs.
Course Curriculum
Chapter 1: Native Python Data Structures
Lecture 1: Introduction
Lecture 2: Operations for Sequence Types (String, List, Tuple)
Lecture 3: Using Lists, Tuples, Sets and Dictionaries
Lecture 4: List Comprehensions
Chapter 2: Queues, Stacks and Heaps
Lecture 1: Stacks in Python
Lecture 2: Queues in Python
Lecture 3: Heaps in Python
Chapter 3: Linked Lists
Lecture 1: Introduction to Linked Lists
Lecture 2: Circular Linked Lists
Lecture 3: Doubly Linked Lists
Chapter 4: Introduction to Binary Search Trees
Lecture 1: Intro to Binary Search Trees
Lecture 2: Implementing a Binary Search Tree in Python
Chapter 5: Introduction to Graphs
Lecture 1: Graphs Overview
Lecture 2: Graph Implementation Using Adjacency Lists
Lecture 3: Graph Implementation Using an Adjacency Matrix
Instructors

Joe James
Silicon Valley software engineer and CS YouTuber
Rating Distribution
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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