# Week 8 at Blockfuse Labs: Exploring Dictionaries and Tuples in Python

**Instructor**: Mr. Bankak
**Week**: 8
**Course**: Python Programming
**Author**: Methuselah Mark

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## ✨ Overview

This week at **Blockfuse Labs**, under the guidance of Mr. Bankak, we dove into two powerful data structures in Python: **Dictionaries** and **Tuples**. These structures help in storing and organizing data efficiently. Below is a summary of the key concepts we learned, along with practical examples and use cases.

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## 🧱 Python Dictionaries

### 🔑 What is a Dictionary?

A **dictionary** in Python is an unordered collection of key-value pairs. Each key must be unique and immutable (like strings or numbers), while the value can be of any data type.

# Example:
student = {
    "name": "Mark",
    "age": 20,
    "score": 85
}

📘 Key Concepts:
Accessing values: Use the key to get a value.

print(student["name"])  # Output: Mark

.keys(): returns all keys

.values(): returns all values

.items(): returns all key-value pairs

Use Case:
Dictionaries are perfect for storing data where each item has a unique label, like student records.

Python Tuples

What is a Tuple?
A tuple is a collection of values that is ordered and immutable, meaning once created, it cannot be changed.

# Example:
coordinates = (6.45, 9.23)

Tuples are immutable: You can't add, remove, or change values after creation.

Can contain different data types:

person = ("Mark", 20, True)

Use Case:
Tuples are ideal when you want to protect data from being changed, such as storing GPS coordinates or multiple return values from a function.

Mini project example

# A dictionary with tuples as values
students = {
    "Alice": ("Physics", 85),
    "Bob": ("Chemistry", 78),
    "Charlie": ("Math", 92)
}

print(students)

This week helped solidify my understanding of how to manage structured data in Python. Mr. Bankak broke down the concepts with clarity, real-life examples, and hands-on exercises. I now feel more confident using both dictionaries and tuples in real projects.