Why Should a DevOps Learn Python?

By Vinicius Deschamps, DevOps Engineer

The first thing you should be aware of is that Python is a 32-year-old language, and became a trend over many years. So why should a DevOps learn Python if it’s an old language?

In a nutshell, Python is an interpreted language, which means you don’t need to compile the program and then execute it, and you can run the code as soon as you complete it. That said, there are several other excellent reasons to learn Python.

Python is Easy and Intuitive

Python has a clean and easy-to-read syntax, allowing programmers and non-programmers to understand it more easily, and making it easy to learn as well.

Here’s an example how you can write a Hello, World in Java, and Python

Python is Flexible

Python can be utilized from daily automation to address a wide array of business requirements, and can easily be molded to your wishes. That way, you are not tied to a language syntax, data types or constraints.

For this particular reason, and many others, Python is considered a multi-type purpose language used for different applications and categories such as: Data Analysis, Web Development, DevOps, and so on.

Python is Platform Independent

How cool would it be if the same code you execute on Windows could be executed in a Linux machine? Well, Python can run on any operating system!

Python is Free

Yes, Python is free, and everyone can have it installed and start learning.

Python Has an Extensive Community

According to Python’s website, their community is vast, diverse and aims to grow. Within the community, you can access extensive libraries including code so you don’t have to start from scratch.

These are just some of the reasons to learn Python, and as a DevOps Engineer, you should consider learning it to improve your workflows, processes, and day-to-day tasks.

About

Hey! I’m Vinicius Deschamps. I’ve been a System Administrator and Cloud Engineer for over a decade, and for the last 4 years I’ve worked as a DevOps Engineer. Most of my experience is in supporting, troubleshooting, configuring and maintaining diverse ecosystems on-premises and in the cloud. I specialize in the Microsoft stack.

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