Table of Contents 1. Introduction to Functions What are functions? Why use functions? Defining and calling functions 2. Function Arguments Default arguments Keyword arguments Variable-length arguments 3. Returning Values from Functions The return statement Multiple return values Returning None 4. Anonymous Functions (Lambda Functions) Syntax and examples Using lambda functions as arguments 5. Conclusion and Next Steps Summary of key concepts and Techniques Resources for further learning and practice 1. Introduction to Functions in Python Functions are a way to break up large pieces of code into smaller, more manageable pieces that can be reused and called multiple times throughout a program. In this tutorial, we'll cover the basics of functions in Python, including what they are, why we use them, and how to define and call them. 1.1. What are functions? Functions are named blocks of code that can be called to perform a specific task. They allow you to break up large programs into s

Table of Contents 1. Introduction to Lambda Functions What are lambda functions? Syntax of lambda functions Benefits of using lambda functions 2. Assigning Lambda Functions to Variables Creating lambda functions Assigning lambda functions to variables Using variables to invoke lambda functions 3. Invoking Lambda Functions Calling lambda functions directly Providing arguments to lambda functions Returning values from lambda functions 4. Working with Lambda Functions in Expressions Using lambda functions in arithmetic expressions Using lambda functions in conditional expressions Applying lambda functions in list comprehensions 5. Using Lambda Functions as Arguments Introduction to higher-order functions Understanding map(), filter(), and reduce() Using lambda functions with map() Using lambda functions with filter() Using lambda functions with reduce() 1. Introduction to Lambda Functions in Python In Python, lambda functions, also known as anonymous functions, allow you to create small,

  1. Introduction Python dictionaries are a powerful data structure that allows you to store and retrieve key-value pairs. They are commonly used in Python programming and provide a convenient way to store and manipulate data. Table of Contents 1. Introduction to Python dictionaries What are dictionaries? Why use dictionaries? 2. Creating and initializing dictionaries Creating an empty dictionary Initializing a dictionary with values Creating a dictionary from a list of tuples 3. Accessing and modifying dictionary values Accessing values by key Modifying values by key Adding new key-value pairs 4. Dictionary methods keys() values() items() get() pop() update() 5. Dictionary comprehension Creating a new dictionary with comprehension Filtering a dictionary with comprehension 6. Advanced dictionary topics Nested dictionaries Default dictionaries OrderedDict 7. Conclusion 1.1. What are Dictionaries? A dictionary in Python is a collection of key-value pairs. Each key-value pair is called an