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Hands-On Introduction: Python

Hands-On Introduction: Python

1h 11mIntermediate2025-01-08

Authors

Ronnie Sheer

Ronnie Sheer

Software Developer and Instructor

Course details

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.

Skills covered

PythonProgramming LanguagesOpen SourceSoftware DevelopmentOne-Off

Concepts

0. Introduction

  • 01 - Learn Python by doing
  • 02 - What you should know
  • 03 - Using GitHub Codespaces with this course

1. Running Python

  • 04 - Hello Python

2. Diving into a Python Project

  • 05 - Scope and indentation
  • 06 - Fancy string work
  • 07 - Getting what you need from lists with slices
  • 08 - Looping and iteration
  • 09 - Logic if elif else

3. Let's Build Something

  • 10 - Reading a CSV file
  • 11 - Making calculations
  • 12 - Outputting JSON
  • 13 - Challenge - Filtering output
  • 14 - Solution - Filtering output

4. Extending a Service

  • 15 - Loading a JSON dataset
  • 16 - Extending a small web server
  • 17 - Searching through data
  • 18 - Challenge - Filtering results
  • 19 - Solution - Filtering results

5. Hands-on Python for AI

  • 20 - Python and AI
  • 21 - Using GitHub Models
  • 22 - OpenAI API

6. Python Cheat Sheets

Conclusion

  • 23 - Extend your new Python skills

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