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Python (Free Course) - Part 6
Rating: 3.7 out of 5(25 ratings)
781 students

Python (Free Course) - Part 6

Learn how to write, optimize, and scale Python functions with confidence.
Last updated 7/2025
English

What you'll learn

  • The concept and importance of functions in Python
  • How to define and call functions
  • Parameters vs. arguments
  • Different types of arguments (default, keyword, variable-length)
  • How return differs from print and when to use each
  • The difference between local and global variables
  • How to use decorators for cleaner and more dynamic code
  • How generators work and when to use them
  • Writing reusable, modular, and scalable code

Course content

1 section9 lectures1h 5m total length
  • Python (Free Course) - Part 6 - Functions (Free Course)0:56
  • Watch this Important2:56
  • Concept of Functions12:05
  • Parameters & Arguments11:36
  • Types of Arguments12:17
  • Return vs Print8:23
  • Local & Global Variable5:58
  • Decorator & Generator10:06
  • Bonus1:14

Requirements

  • Basic knowledge of Python syntax (variables, data types, loops, conditionals)
  • Access to a computer with Python installed
  • A willingness to practice and experiment with code

Description

Mastering functions is one of the most crucial skills in Python—and in programming as a whole. In "Python (Free Course) - Part 6 - Functions", we’ll take you from the basics to advanced functional programming concepts in Python in a clear, engaging, and practical way. This isn’t just theory: every concept is immediately followed by real examples, demonstrations, and explanations so you fully understand how and when to apply it.

Whether you’ve just started learning Python or you’ve covered the syntax and now want to build your confidence in writing clean, modular, and reusable code, this course is your next logical step. You’ll go beyond simply writing functions—you’ll learn how to think in terms of designing them, understanding parameter behavior, return values, local vs. global variables, and even powerful tools like decorators and generators.

By the end of this course, you’ll be able to:

  • Write your own functions from scratch with confidence.

  • Pass different types of arguments: default, keyword, variable-length, etc.

  • Understand when to use return vs print—and why it matters.

  • Manage variable scopes without confusion.

  • Create efficient, maintainable, and elegant code with decorators and generators.

You’ll also walk away with a strong grasp of how Python handles function calls internally—an understanding that will pay dividends as you progress into more complex topics like OOP, data structures, and working with APIs or frameworks.

If you skip this course, you risk plateauing in your Python journey. Many learners struggle because they rely too much on writing linear code instead of modular, reusable functions. This course is the missing piece that helps you break through and begin writing professional-grade Python code.

Take this opportunity to elevate your Python skills. It’s not just about learning functions—it’s about transforming how you think and solve problems with code.

Who this course is for:

  • Python beginners looking to deepen their understanding of functions
  • Self-taught coders who want to write more modular and reusable code
  • Students preparing for technical interviews or assessments
  • Anyone who has completed introductory Python material and is ready to go deeper
  • Developers switching from another language who want to grasp Python’s approach to functions