Python Data Structures: Linked Lists

Focused View

Ryan Mitchell

1:02:37

102 View

01 - Introduction

01 - The best dynamic Python data structure Linked Lists.mp4

00:46

02 - What You Should Know.mp4

01:52

03 - Using CoderPad.mp4

02:33

02 - 1. Getting Started

01 - Lists, Linked Lists, and Memory.mp4

03:47

02 - Practical Applications of Linked Lists.mp4

01:50

03 - Building a Linked List in Python.mp4

06:14

04 - Solution Finding a middle ground.mp4

02:04

03 - 2. Building Functionality

01 - Searching.mp4

05:03

02 - Deleting Nodes.mp4

03:50

03 - Inserting Nodes.mp4

05:35

04 - Solution Removing duplicates.mp4

02:11

04 - 3. Variations on a Theme

01 - Circular Lists.mp4

06:51

02 - Doubly Linked Lists.mp4

05:20

03 - Orthogonal Linked Lists.mp4

10:12

04 - Solution Fixing a doubly-linked list.mp4

03:44

05 - Conclusion

01 - Next steps.mp4

00:45

Description

In this course, get an introduction to linked lists, a popular and useful dynamic Python data structure. Instructor Ryan Mitchell covers various types of linked lists, and gives you the opportunity to practice your skills with CoderPad challenges in each chapter. Ryan starts with the basics—how Python lists are stored, the advantages and disadvantages, and how linked lists solve some of these problems. She shows you practical applications of linked lists, and how to build a linked list in Python. Then, find out how to build functionality like searching and sorting a linked list. Ryan then shows you how you can make circular linked lists, doubly-linked lists, and even orthogonal linked lists.

This course includes Code Challenges powered by CoderPad. Code Challenges are interactive coding exercises with real-time feedback, so you can get hands-on coding practice alongside the course content to advance your programming skills.

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Python

Data Structures

Ryan Mitchell

Instructor's Courses

Masters in software engineering with 14 years of professional programming experience. Speaker (Data Day Seattle and Texas, DEFCON, various Boston-area meetup groups), educator, and runner of workshops about web scraping, application security, and data science. Author of Instant Web Scraping with Java (Packt Publishing, https://www.packtpub.com/web-development/instant-web-scraping-java-instant) and Web Scraping with Python (O'Reilly, June 2015, http://shop.oreilly.com/product/0636920034391.do). WsWP was translated into 6 languages, with a second edition released in March 2018. I also dabble in academia. Helped design course content at Northeastern, taught a data science course at Olin College of Engineering (both in Fall 2017) as well as a web development course for adult education at the Boston Public Library (Spring 2017). Four LinkedIn Learning courses, including one currently in progress and scheduled to be released Q1 2022

Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.