Programming Foundations: Data Structures

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Kathryn Hodge

1:46:49

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01 - Introduction

01 - Working with data structures.mp4

00:48

02 - What you should know.mp4

03:05

02 - 1. Begin with Data Structures

01 - What is data.mp4

02:54

02 - Introduction to data structures.mp4

03:00

03 - Built-in data structures in Python.mp4

02:46

04 - Big O notation.mp4

03:04

03 - 2. Arrays

01 - What is an array.mp4

03:31

02 - Create a list in Python.mp4

02:27

03 - Retrieve data from a list in Python.mp4

04:26

04 - Mutate a list in Python.mp4

02:57

05 - Multidimensional lists.mp4

07:15

06 - Tuples in Python.mp4

02:45

07 - Search array-like structures.mp4

04:47

08 - Sort array-like structures.mp4

05:01

09 - Challenge Find the second smallest item.mp4

01:35

10 - Solution Find the second smallest item.mp4

04:26

11 - When to use array-like structures.mp4

01:15

04 - 3. Dictionaries

01 - What is a dictionary.mp4

01:52

02 - Create a dictionary in Python.mp4

02:56

03 - Mutate a dictionary in Python.mp4

03:32

04 - Challenge Drop empty items.mp4

00:55

05 - Solution Drop empty items.mp4

04:11

06 - When to use dictionaries.mp4

01:31

05 - 4. Sets

01 - What is a set.mp4

02:09

02 - Create a set in Python.mp4

02:07

03 - Operations on sets in Python.mp4

04:29

04 - Immutable sets in Python.mp4

01:32

05 - Challenge Unique characters.mp4

00:44

06 - Solution Unique characters.mp4

01:27

07 - When to use sets.mp4

01:01

06 - 5. Queues

01 - What is a queue.mp4

01:16

02 - Use deque as a queue.mp4

02:19

03 - Challenge Generate binary numbers.mp4

01:09

04 - Solution Generate binary numbers.mp4

03:49

05 - When to use queues.mp4

00:34

07 - 6. Stacks

01 - What is a stack.mp4

01:42

02 - Use a list as a stack.mp4

04:20

03 - Use deque as a stack.mp4

01:48

04 - Challenge Matching parentheses.mp4

00:54

05 - Solution Matching parentheses.mp4

03:14

06 - When to use stacks.mp4

00:46

08 - Conclusion

01 - How to decide which data structure to use.mp4

00:30

Description

Once you get past simple programs with one or two variables, you'll use data structures to store the values in your applications. Data structures are a lot like containers—there's one for every way you want to store your data. While structures like arrays and queues are sometimes taken for granted, a deeper understanding is vital for any programmer who wants to know what's going on "under the hood" and understand how the choices they've made impact the performance and efficiency of their applications. In this course, Kathryn Hodge provides an in-depth overview of the most essential data structures for modern programming in Python. Starting with simple ways of grouping data, like arrays, lists, and tuples, Kathryn gradually introduces more complex data structures, such as dictionaries, sets, queues, and stacks. Each lesson is accompanied by a real-world, practical example that shows the data structures in action. Upon completing this course, you'll have a richer understanding of data structures and how to leverage them as you code.

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Programming Fundamentals

Data Structures

Kathryn Hodge

Instructor's Courses

Working at the interaction of media, education, and technology, I have around half a decade of experience as a small business owner and software engineer. As a small business owner, I've created the 30 Days of Code tutorial series with HackerRank, authored several popular technology courses with LinkedIn Learning, and amassed over 65,000 subscribers and 5 million lifetime views on the blondiebytes YouTube channel. As a software engineer, I've deconstructed a large Java Springboot monolith into microservices, automated deployment processes by building CI/CD pipelines, migrated complex infrastructure to AWS, and driven conversations around software engineering architectures and work culture in the tech industry. 30 Days of Code: https://www.hackerrank.com/domains/tutorials/30-days-of-code YouTube Channel: https://www.youtube.com/channel/UC4DwZ2VXM2KWtzHjVk9M_xg?view_as=subscriber LinkedIn Learning Courses: https://www.linkedin.com/learning/instructors/kathryn-hodge

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.