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Python Data Structures A to Z

  • Development
  • May 05, 2025
SynopsisPython Data Structures A to Z, available at $39.99, has an av...
Python Data Structures A to Z  No.1

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.

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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

  • 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
  • Who Should Attend

  • Beginner or intermediate Python programmers who want to gain a solid understanding of data structures.
  • Anyone who already knows another programming language and wants to learn general data structures used in programming, while learning Python.
  • This course will prepare students for an algorithms course.
  • Target Audiences

  • Beginner or intermediate Python programmers who want to gain a solid understanding of data structures.
  • Anyone who already knows another programming language and wants to learn general data structures used in programming, while learning Python.
  • This course will prepare students for an algorithms course.
  • 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

  • Python Data Structures A to Z  No.2
    Joe James
    Silicon Valley software engineer and CS YouTuber
  • Rating Distribution

  • 1 stars: 6 votes
  • 2 stars: 13 votes
  • 3 stars: 108 votes
  • 4 stars: 277 votes
  • 5 stars: 267 votes
  • Frequently Asked Questions

    How long do I have access to the course materials?

    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!