Introduction to NumPy

Chapter: 5

NumPy and Pandas Libraries

Introduction to NumPy

• NumPy is a Python library which is used to perform numerical calculations. It is generally used for working with arrays.

• NumPy is a Python library and is written partially in Python, but most of the parts that require fast computation are written in C or C++.

• NumPy consists of a wide range of mathematical functions. These functions can be simple arithmetic operations, functions of linear algebra, Fourier transform, random number generation and so on. These functions can be performed using arrays.

Uses of NumPy

NumPy is generally used for ‒

1.Data science

2.Machine learning

3.Scientific computing

4. Image and signal processing.

Installation

If you have already installed Anaconda, then the Numpy is installed by default with this package. Otherwise one can install NumPy explicitly.

If you already have Python, you can install NumPy with:

conda install numpy

or

pip install numpy

Importing NumPy

In order to use NumPy functionality, we need to import it first.

In [2]: import numpy as np

The code above imports the NumPy library in our program as an alias np.

After this import statement, we can use NumPy functions and objects by calling them with np.

• NumPy stands for Numerical Python.It is a powerful Python library used for:

• Handling large datasets.

• Performing mathematical operations quickly.

• Supporting multidimensional arrays.