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Writing the same code twice is a sign that you need a function to encapsulate that logic. Learn how to use the def keyword to build reusable blocks of code that make your programs modular and clean.

Understanding how Python manages memory references is crucial for avoiding invisible bugs in your code. We’ll clarify the difference between mutable and immutable objects so you know exactly what happens when you modify a variable.

Handling unique items is effortless with sets, which automatically remove duplicates from your data. Discover how to perform mathematical set operations like unions and intersections to solve complex logic puzzles.

Real-world data often comes in labeled pairs, like a name associated with a phone number. We will explore how to store Key-Value pairs, access them safely with .get(), and traverse through data efficiently.

When you need a sequence of data that shouldn't change, tuples provide a faster, safer alternative to lists. Learn about immutability and how tuple unpacking can assign multiple variables in a single line.

You don't always want a loop to run to completion; sometimes you need to exit early or skip a step. We will demonstrate how break, continue, and pass give you fine-grained control over your iterations.

Iterating over a sequence of items is one of the most common tasks in programming. Master the for loop and the range() function to process data efficiently and concisely.

Sometimes you need a block of code to repeat until a specific condition changes. We’ll explore while loops to handle scenarios where the number of iterations isn't known beforehand.

Introduced in Python 3.10, structural pattern matching offers a cleaner alternative to long chains of if-statements. Learn how to use the match and case keywords to handle complex data comparisons elegantly.