🚀 Hey there, Python enthusiasts! Buckle up because we're about to dive into the juicy stuff – the realm of Python where things get seriously cool. We're taking a step beyond the basics and venturing into the sweet spot of advanced Python.

Now, I know "advanced" can sound a bit daunting, but fear not! We're going to infuse this journey with all things Object-Oriented Programming (OOP) – a game-changer in the Python world. Think of it as the secret potion that turns your Python skills from "nice" to "I can do anything." We'll be sprinkling in some advanced concepts right where they matter most – in the foundation. 

Also, check out these additional concepts for transitioning to advanced Python

Shorthand if conditional expression

Ever heard of a magic wand for quick condition checks in Python? Meet the shorthand if conditional expression! ✨🎩 This nifty one-liner lets you assign values based on a condition without the fuss of a full-blown if-else statement. Take a peek: 

result = 'even' if a_number % 2 == 0 else 'odd' 

Here, the result gets the label 'even' if a_number is divisible by 2; otherwise, it becomes 'odd'. It's a concise way to make decisions on the fly. Ready to sprinkle some Python magic into your code? 🔮

The pass statement

The pass statement in Python is a placeholder that does nothing, allowing you to acknowledge a code block without providing any specific instructions.

if a_number % 2 == 0:

    pass

elif a_number % 3 == 0:

    print('{} is divisible by 3 but not divisible by 2'.format(a_number))

9 is divisible by 3 but not divisible by 2

Nested for and while loops

In Python, nested loops involve placing one loop inside another, allowing for more intricate iterations.

for i in range(3):

    for j in range(2):

        print(f'({i}, {j})')

This code produces pairs of values (i, j) for each combination of the outer loop variable i and the inner loop variable j.

outer_count = 1

while outer_count <= 3:

    inner_count = 1

    while inner_count <= 2:

        print(f'({outer_count}, {inner_count})')

        inner_count += 1

    outer_count += 1

In this example, the outer while loop runs three times, and for each iteration of the outer loop, the inner while loop runs twice, producing pairs of values (outer_count, inner_count). 

Result:

(1, 1)

(1, 2)

(2, 1)

(2, 2)

(3, 1)

(3, 2)

Iterating using range() and enumerate()
with for loop

• range(n) - Creates a sequence of numbers from 0 to n-1

for i in range(7):

    print(i)

• range(a, b) - Creates a sequence of numbers from a to b-1

for i in range(3, 10):

    print(i)

• range(a, b, step) - Creates a sequence of numbers from a to b-1 with increments of step

for i in range(3, 14, 4):

    print(i)

👉using function enumerate()

enumerate() are very handy for iterating over lists when we need to track the index of elements while iterating.

for index, value in enumerate(a_list):

    print('The value at position {} is {}.'.format(index, value))

This will print the result as;
The value at position 0 is Monday.

The value at position 1 is Tuesday.

The value at position 2 is Wednesday.

The value at position 3 is Thursday.
The value at position 4 is Friday.

Functions advanced concepts

Required Positional Arguments:

Advanced doesn't necessarily mean complicated; these concepts are your trusty companions for all things Python, whether you're a learner on the rise or a coding veteran. So, grab your coffee, get comfy, and let's unlock the door to a whole new level of Python magic. Are you ready to make your code dance to your tune? Let's roll! 🐍💬✨

def greet(name, age):

    print(f"Hello, {name}! You are {age} years old.")

# Calling the function with required positional arguments

greet("Jerry", 20)

*args and **kwargs

*args and **kwargs offer advanced flexibility in function design.