Introduction of NumPy

What is NumPy?

• NumPy (Numerical Python) is a Python library used for numerical and scientific computing.

• It provides a powerful data structure called an array, which is useful for storing and processing numerical data.

Why Use NumPy?

• It works efficiently with numerical data.

• It provides powerful array operations.

• It supports multi-dimensional arrays.

• It provides mathematical functions.

• It is widely used in Data Science and Machine Learning.

Installing NumPy

Step 1:

• Open Command Prompt or VS code Terminal

Step 2:

Run:

pip install numpy

Step 3:

• Wait until the installation is completed.

Step 4: Import NumPy

• After installation, import NumPy into your Python program.

import numpy as np

• numpy is the library name.
• np is the commonly used alias for NumPy.

Step 5: Check NumPy Version

print(np.__version__)

NumPy Array Attributes

• NumPy provides useful attributes to understand an array.

• Size - size tells the total number of elements.
• ndim - ndim tells the numbers of dimensions.
• dtype - dtype tells the data type of the elements.
• itemsize - itemsize tells how many bytes are used by each element.
• shape - shape tells the size of each dimension.