Install Python NumPy on RHEL9 or CentOS9

Install Python Numpy on CentOS9

In this article, we will learn how to install Python NumPy on CentOS9 or RHEL9, the essential package for scientific computing and data manipulation!

Table of Contents

Introduction

Python is a popular programming language used extensively in data analysis, machine learning, and scientific computing. One of the most important libraries used in these fields is NumPy. In this article, we will discuss how to install NumPy on RHEL9 or CentOS9.

Brief history

NumPy was created by Travis Oliphant in 2005 as an open-source library for numerical computing with Python. It is built on top of the C and Fortran programming languages and provides high-performance multidimensional arrays and matrices, along with mathematical functions to operate on them. NumPy has become a fundamental library in scientific computing, data analysis, and machine learning.

What is NumPy?

NumPy is a Python library that provides support for large, multi-dimensional arrays and matrices, along with a large collection of mathematical functions to operate on them. It is a fundamental library in scientific computing, data analysis, and machine learning. NumPy provides the foundation for other popular libraries such as Pandas, SciPy, and Matplotlib.

Install Python NumPy on CentOS9

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Installation Procedure for NumPy

The following steps will guide you on how to install NumPy on RHEL9 or CentOS9.

Step 1: Update the system

Before we begin, it’s always a good practice to update the system to the latest version. Run the following command to update the system:

				
					$ sudo dnf update
				
			

Step 2: Install pip

NumPy can be installed using pip, which is a package installer for Python. Run the following command to install pip:

				
					$ sudo dnf install python3-pip
				
			

Step 3: Install NumPy

Now that pip is installed, we can use it to install NumPy. Run the following command to install NumPy:

				
					$ pip3 install numpy
				
			

Step 4: Verify Installation

To verify that NumPy is installed, open the Python interpreter by running the following command:

				
					$ python3
Python 3.9.14 (main, Nov  7 2022, 00:00:00) 
[GCC 11.3.1 20220421 (Red Hat 11.3.1-2)] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>>
				
			

Once you are in the Python interpreter, import NumPy by running the following command:

				
					$ python3
Python 3.9.14 (main, Nov  7 2022, 00:00:00) 
[GCC 11.3.1 20220421 (Red Hat 11.3.1-2)] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy as np
				
			

If there are no errors, NumPy is successfully installed.

Best Practices

Here are some best practices that you should follow when using NumPy:

  • Use the latest version of NumPy to take advantage of new features and bug fixes.
  • Use the most appropriate data structure (arrays or matrices) for your data.
  • Avoid modifying data in place. Instead, create a new copy of the data.
  • Use vectorized operations to perform computations on large data sets efficiently.
  • Use descriptive variable names to make your code more readable.

Conclusion

In this article, we discussed how to install NumPy on RHEL9 or CentOS9. NumPy is a fundamental library in scientific computing, data analysis, and machine learning that provides high-performance multidimensional arrays and matrices, along with mathematical functions to operate on them. By following the installation procedure and best practices, you can start using NumPy in your data analysis and scientific computing projects.

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