Class 7 - Master Tuples and Sets in Python: Immutable vs Mutable, and Everything In Between!

we delved into two important data structures in Python: Tuples and Sets. These structures are crucial for storing and manipulating data in Python, and today, we explored them in detail.

In Class 7, we delved into two important data structures in Python: Tuples and Sets. These structures are crucial for storing and manipulating data in Python, and today, we explored them in detail to boost your Python skills! 💻

📅 Agenda for Today:

1. Tuple 🧳

• Definition: A tuple is an ordered collection of elements, similar to a list but immutable.

• Syntax: Tuples are defined by placing elements inside parentheses ().

• Example:

my_tuple = (1, 2, 3, "Hello")

Key Features:

• Ordered: The order of elements is preserved.

• Immutable: Once created, the elements of a tuple cannot be changed.

• Can hold different data types: A tuple can contain integers, strings, and even other tuples.

• Allow Duplicates: Unlike sets, tuples can contain duplicate values.

What You Can Do with Tuples:

• Access elements using indexing and slicing.

• Loop through a tuple to access elements.

• Use basic built-in functions like len() and count().

• Delete a tuple (entire tuple, not individual elements).

What You Cannot Do with Tuples:

• Cannot modify by indexing, appending, removing, or clearing elements.

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2. Set 🔢

• Definition: A set is an unordered collection of unique elements in Python.

• Syntax: Sets are defined using curly braces {} or the set() constructor.

• Example:

my_set = {1, 2, 3, "Hello"}

Key Features:

• Unordered: The order of elements is not preserved.

• No duplicate values: Sets do not allow duplicates.

• Can hold different data types: Sets can store integers, strings, and more.

What You Can Do with Sets:

• Get the length of a set using the len() function.

• Access elements only through loops (cannot access via indexing).

• Check membership using the in operator.

• Modify a set:

  • Add an element with the add() method.

  • Add multiple elements with the update() method.

  • Remove specific elements using remove() or discard().

  • Remove a random element with pop().

  • Clear all elements using the clear() method.

  • Delete a set entirely using del().

What You Cannot Do with Sets:

• Cannot use count() on sets.

• Cannot index or slice a set.

• Cannot contain duplicates.

• Cannot contain mutable items (e.g., lists).

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💡 See below for Class 7 Recording 📹, and continue mastering Tuples and Sets in Python with hands-on examples and exercises.

Session 1