Data Structures and Algorithms in Python | 24. Function definitions by Abraham | Learn Smarter
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24. Function definitions

The chapter outlines the fundamentals of function definitions in Python, emphasizing the concepts of argument passing, default values, and function reassignment. It illustrates how functions can be defined with optional arguments and highlighted the flexibility of calling functions using named arguments. Additionally, the chapter covers practical applications, such as customizing sorting behavior through comparison functions.

Sections

  • 24.1

    Programming Data Structures And Algorithms In Python

    This section covers function definitions in Python, highlighting argument passing, default values, and the use of functions.

    Learning Practice

  • 24.1.1

    Function Definitions

    This section covers how function definitions work in Python, including argument passing, default values, and function assignment.

    Learning Practice

  • 24.2

    Function Arguments And Defaults

    This section discusses how functions in Python can accept arguments, including named arguments and default values.

    Learning Practice

  • 24.2.1

    Passing Values By Argument Names

    This section explains how Python allows passing values to functions using argument names, emphasizing the flexibility of ordering and the use of default values.

    Learning Practice

  • 24.2.2

    Using Default Values

    This section discusses how default values for function arguments can simplify function calls in Python.

    Learning Practice

  • 24.3

    Default Value Constraints

    This section explains the flexibility of function definitions in Python, including default arguments, keyword arguments, and reassigning function names.

    Learning Practice

  • 24.4

    Redefining Functions

    This section discusses how Python functions can be redefined and how to utilize default argument values effectively.

    Learning Practice

  • 24.4.1

    Conditionally Defining Functions

    This section discusses the flexibility of function definitions in Python, including named arguments, default parameters, and the ability to conditionally define functions.

    Learning Practice

  • 24.4.2

    Mapping Functions To New Names

    This section discusses how functions in Python can be mapped to new names, allowing for flexible function usage and simpler code management.

    Learning Practice

  • 24.5

    Using Functions As First-Class Objects

    This section explores the concept of functions as first-class objects in Python, highlighting their ability to accept other functions as arguments, return functions, and be assigned to variables.

    Learning Practice

  • 24.5.1

    Applying Functions Multiple Times

    This section covers how functions in Python can be applied multiple times and how to handle default arguments.

    Learning Practice

  • 24.5.2

    Custom Sorting Functions

    This section covers how to create custom sorting functions in Python, highlighting the use of default values and named arguments.

    Learning Practice

  • 24.6

    Summary Of Function Behaviors

    This section focuses on the behavior of functions in Python, particularly how arguments are passed and how default values can simplify function calls.

    Learning Practice

References

Chapter 24.pdf

Class Notes

Memorization

What we have learnt

  • Functions in Python can hav...
  • Function definitions can be...
  • Functions can be passed aro...

Final Test

Revision Tests