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Python Functions Tutorial - 18 | Working With Functions In Python |Simplilearn

This presentation on Python Functions Tutorial will help you understand what are functions in Python and the different types of functions. You will learn about working with functions in Python, the important built-in functions available in Python, and look at the examples to write user-defined functions on the Jupyter Notebook.<br><br>Below topics are covered in this Python tutorial on Python Functions:<br>What is a Python Function?<br>Types of Python Functions<br>Built-in Python Functions<br>User-defined Python Functions<br>Advantages of Python Functions

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Python Functions Tutorial - 18 | Working With Functions In Python |Simplilearn

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Presentation Transcript

  1. What’s in it for you? What is a Function in Python? Types of Functions Advantages of using Functions

  2. What is a Function in Python? • A function is a bunch of related statements that are defined to perform a specific task. • Functions helps fragment our program into smaller and modular chunks. • Functions allows you to make extensive programs more organized and manageable. • It also avoids repetition and makes the code reusable.

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  4. Types of Python Functions Built-in functions User-defined functions Functions that are built into Python Functions defined by users themselves

  5. Built-in Python Functions Built-in functions are pre-defined functions in Python pow() len() abs() print() range() next() max() sorted() slice() round()

  6. User-defined functions These functions are defined by the user to perform a specific task Steps to create a user-defined function • Creating a function • Calling a function

  7. User-defined Python Functions Syntax: def my_function(): print(“Hello Python") Example: Output: defmy_function(parameters): function_block return expression Hello Python

  8. Advantages of using Functions • With the help of functions, we can avoid rewriting the same logic or code again and again in a program • In a single program, we can call Python functions anywhere multiple times • We can track an extensive Python program easily when it is divided into numerous functions • The main achievement of Python functions is its Reusability

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