# Python Dictionaries and Tuples.(Week 8)
This week, I continued my Python programming journey at Blockfuse Labs with a focus on Dictionaries and Tuples, two essential data structures that are widely used in software development for data storage and retrieval.

## Python Dictionaries
A dictionary in Python is a collection of key-value pairs, where each key is unique and is used to store and retrieve data efficiently. Unlike lists, which use indexes, dictionaries use keys to access values.
Features of a Dictionary.
Mutable (can be changed after creation)
Dictionaries are Unordered (Python 3.7+ maintains insertion order).
Keys must be unique and immutable (strings, numbers, tuples).

Example 1: Creating and Accessing a Dictionary
# Creating a dictionary of student scores
student_scores = {
    "Alice": 85,
    "Bob": 72,
    "Charlie": 90
}

# Accessing value
print(student_scores["Alice"])  # Output: 85

# Adding a new entry
student_scores["David"] = 78

# Updating an existing entry
student_scores["Bob"] = 80

# Iterating through dictionary
for name, score in student_scores.items():
    print(f"{name}: {score}")

Output:
85
Alice: 85
Bob: 80
Charlie: 90
David: 78

## Understanding Python Tuples
A tuple is similar to a list but it is immutable, meaning its contents cannot be modified after creation. Tuples are ideal for storing fixed data that should not change.
### Tuples Features:

Immutable (cannot add, remove, or change items).
Ordered collection.
Allows duplicate values.
Example 1: Creating and Using Tuples
# Creating a tuple of coordinates
coordinates = (12.4, 8.9)

# Accessing tuple elements
print(coordinates[0])  # Output: 12.4

# Tuple unpacking
x, y = coordinates
print(f"x: {x}, y: {y}")

Output:
12.4
x: 12.4, y: 8.9

This week's focus on dictionaries and tuples has strengthened my understanding of data organization and retrieval in Python, preparing me for more complex data structures and problem-solving techniques in future lessons.

Thank you as usual for stopping by to read my progress. See again soon.