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Python Collection Data Types: Set, List, Tuple, Dictionary

Hey everyone! 🚀 In this video, we'll cover Python's four main collection data types: List, Tuple, Set, and Dictionary. These data structures make your coding easier and more efficient!

1. List 📝
What is it? An ordered, mutable (changeable) collection of elements.
Syntax: `my_list = [1, 2, 3]`
Features: Indexing, slicing, allows duplicates.
Use Case: When you need ordered data and want to make changes.

2. Tuple 📦
What is it? An ordered, immutable (unchangeable) collection of elements.
Syntax: `my_tuple = (1, 2, 3)`
Features: Faster than lists, use for fixed data.
Use Case: When data shouldn't change (constants).

3. Set 🔗
What is it? An unordered collection of unique elements.
Syntax: `my_set = {1, 2, 3}`
Features: No duplicates, fast lookup.
Use Case: To store unique items.

4. Dictionary 📚
What is it? An unordered collection of key-value pairs.
Syntax: `my_dict = {'name': 'John', 'age': 25}`
Features: Fast lookup by key, mutable.
Use Case: When you need to access data via keys.

Example Code:
List
fruits = ['apple', 'banana', 'orange']
fruits.append('grapes')
print(fruits) # Output: ['apple', 'banana', 'orange', 'grapes']

Tuple
days = ('Mon', 'Tue', 'Wed')
print(days[0]) # Output: Mon

Set
numbers = {1, 2, 3, 3}
print(numbers) # Output: {1, 2, 3}

Dictionary
person = {'name': 'Alice', 'age': 30}
print(person['name']) # Output: Alice
Summary:
List: Ordered, mutable.
Tuple: Ordered, immutable.
Set: Unordered, unique.
Dictionary: Key-value pairs.

👉 Practice Tip: Understand each use case and practice! 🚀

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