Skip to content

This a code repository for the LinkedIn Learning course Programming Foundations: Data Structures.

License

Notifications You must be signed in to change notification settings

CCYJACK222/programming-foundations-data-structures-4410875

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

44 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Programming Foundations: Data Structures

This is the repository for the LinkedIn Learning course Programming Foundations: Data Structures. The full course is available from LinkedIn Learning.

Programming Foundations: Data Structures

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.

Instructor

Kathryn Hodge

Software Engineer

Check out my other courses on LinkedIn Learning.

About

This a code repository for the LinkedIn Learning course Programming Foundations: Data Structures.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 88.0%
  • Dockerfile 11.4%
  • Shell 0.6%