Creating NumPy Arrays (Beginner Guide)

In this tutorial, you’ll learn how to create simple NumPy arrays step by step.

We’ll also see how Python lists are converted into arrays 👇

🔹 Step 1: Import NumPy

Before using NumPy, you need to import it.


import numpy as np

👉 np is just a short name for NumPy.

You can create a NumPy array using values inside a list.


arr = np.array([10, 20, 30, 40])

print(arr)

Output:


[10 20 30 40]

👉 This is a 1D array (simple list-like structure).

Step 1: Create a Python list


my_list = [5, 15, 25, 35]

Step 2: Convert it into NumPy array


import numpy as np



arr = np.array(my_list)

print(arr)

Output:


[ 5 15 25 35]

👉 So internally, NumPy takes list values and converts them into a faster structure.

Scenario: You have daily sales stored in a list.

👉 You convert this list into an array to perform faster calculations.

Example: Names of students, shopping list

Example: Sales data, marks of students, analytics data

NumPy arrays are simple to create and very powerful.