Skip to content

This is a repository for the LinkedIn Learning course Hands-On Python

License

Notifications You must be signed in to change notification settings

Mubashir-Ul-Hassan/hands-on-python-3084712

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

55 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Hands-On Introduction: Python

This is the repository for the LinkedIn Learning course Hands-On Introduction: Python. The full course is available from LinkedIn Learning.

1666990089517

If you’re an early-stage Python user looking to boost your professional game, you need to set aside the time—and bandwidth—to study up and advance your skills. Practice makes perfect, they say, so why not start right now? In this course, instructor Ronnie Sheer shows you the tools, techniques, and practical know-how of expert Python users, with twenty hands-on, interactive coding challenges to test out your skills as you go. Take your existing Python proficiency to the next level with tips on scope, strings, loops, CSV data, calculations, JSON data sets, web servers, and more. By the end of this course, you’ll be equipped with newly honed expert moves to keep learning on your upcoming projects.

The best way to learn a language is to use it in practice. That’s why this course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out the Using GitHub Codespaces with this course video to learn how to get started.

Instructor

Ronnie Sheer

Check out my other courses on LinkedIn Learning.

About

This is a repository for the LinkedIn Learning course Hands-On Python

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • HTML 63.5%
  • Python 32.6%
  • Dockerfile 3.9%