📊 Arrays in Python – Your Data Squad!

 Have you ever made a list of your favorite snacks, games, or friends' names? If yes, you're already halfway to understanding arrays in Python! 🚀

Let’s explore how arrays help us store and manage data the smart way.

---

🧠 What is an Array?

An array is like a row of boxes, each holding one item – like numbers, names, or marks.

It helps you:

• Store multiple values in a single variable

• Keep things organized

• Do math or actions on lots of data at once!

---

🐍 Does Python Have Arrays?

👉 In basic Python, we usually use lists as arrays. But we can also use real arrays from the array module or even better ones from NumPy (a library).

Let’s start with lists, then look at arrays from the array module!

---

✅ Using a List Like an Array

marks = [85, 90, 78, 92]
print(marks[0])  # Output: 85

You can:

• Access elements using index (starts from 0)

• Add, update, and delete elements

• Loop through them easily!

---

📦 Real Arrays with array Module

import array

numbers = array.array('i', [10, 20, 30, 40])
print(numbers[1])  # Output: 20

🧪 What's 'i'?

It means "integer" — you must tell the type of data when using the array module.

Some common type codes:

• 'i' → integer

• 'f' → float

• 'u' → Unicode character (text)

---

🔁 Looping Through an Array

for num in numbers:
    print(num)

Output:

10  
20  
30  
40

---

✏️ Changing Array Values

numbers[2] = 99
print(numbers)  # array('i', [10, 20, 99, 40])

Yes, arrays can be updated just like lists!

---

✨ Why Use Arrays?

• Save space if you're working with lots of data

• Great for math operations

• Very useful in science, math, and games!

---

🧠 Real-Life Example: Student Roll Numbers

import array

roll_numbers = array.array('i', [101, 102, 103, 104])
print("First student’s roll number:", roll_numbers[0])

---

🔥 Quick Quiz

1. What’s the difference between a list and an array in Python?

2. What does 'i' mean in array.array('i', [1, 2, 3])?

3. How do you loop through an array?

---

🏁 Wrapping Up

Arrays are like super lists — perfect when you want to store and manage lots of similar data quickly. Whether it’s marks, roll numbers, or temperatures — arrays make your Python programs faster and cooler! 😎

---