Intermediate Python Techniques

Course Content

Intermediate Python Techniques

Intermediate Python Techniques

1. Mastering Packing and Unpacking in Python

Unpacking in Python: Extracting Values from Lists and Tuples Packing in Python: Grouping Multiple Values into a Single Variable Using Packing and Unpacking for Efficient Code in Python Challenge: Mastering Dictionary Unpacking in Python Challenge: The Champions League

2. Mastering Function Arguments in Python

Python Function Arguments: Overview of Parameters and Arguments Using *args in Python: Handling Variable-Length Positional Arguments Challenge: Calculating the Average Mark with *args Using **kwargs in Python: Flexible Keyword Arguments for Dynamic Functions Challenge: Mastering **kwargs in Python Functions

3. Function as an Argument in Python

High-Order Functions in Python: Passing Functions as Arguments Lambda Functions in Python: Writing Concise and Anonymous Functions Using Python Built-in Functions

4. Understanding Variable Scope in Python

Global Variables in Python: Accessing and Modifying Global Data Local Variables in Python: Understanding Function-Level Scope Challenge: Modifying a Global Variable in Python Nested Functions in Python: Scope and Accessibility Nonlocal Variables in Python: Working with Enclosed Scopes Python Closures: Retaining State in Nested Functions Challenge: Implementing a Threshold Checker with Closures

5. Mastering Python Decorators

Introduction to Python Decorators Python Decorator Syntax: Writing and Applying Decorators Challenge: Create Your First Python Decorator Using Decorators with Parameters in Python Chaining Multiple Decorators: Advanced Function Modifications Challenge: Basic Smores Recipe Practical Examples of Python Decorator Usage in Real Applications

Using **kwargs in Python: Flexible Keyword Arguments for Dynamic Functions

Now, let's move on to keyword arbitrary arguments or **kwargs. The principle of how **kwargs works is the same as for *args, but it accepts keyword arguments instead of positional ones. **kwargs packs information into a dictionary, so we will work with it accordingly.


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def personal_info(name, **kwargs):
    print(f"Name: {name}")
    for key, value in kwargs.items():
        print(f"{key.capitalize()}: {value}")

personal_info("Sarah", surname="Conor", son="John")
personal_info("Natalie", cats="3", breed="Maine Coon")

The correct order for the arguments is as follows:

Positional
Optional
*args
**kwargs


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def new_func(a, b=0, *args, **kwargs):
	print(f"a = {a}, b = {b}, args = {args}, kwargs = {kwargs}")

new_func(1, 2, "Love", "Hope", name="Anna", age=20)

If you want to unpack dictionaries, you need to use ** before the dictionary variable.

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Section 2. Chapter 4

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