Day 13: Getting Started with Python for DevOps Engineers

Day 13: Getting Started with Python for DevOps Engineers


Python is a versatile and widely used programming language that is essential for DevOps engineers looking to build logic and programs to automate tasks in their infrastructure. In this blog post, we'll cover the basics of Python, including its features, installation process, and an introductory task to get you started.

What is Python?

Python is an open-source, general-purpose, high-level, and object-oriented programming language. It was created by Guido van Rossum and has gained immense popularity due to its simplicity, readability, and vast ecosystem of libraries and frameworks. Some of the well-known frameworks include Django, TensorFlow, Flask, Pandas, and Keras, making Python a powerful tool for various applications, including web development, data analysis, artificial intelligence, and automation.

How to Install Python?

Python can be easily installed on various operating systems, including Windows, MacOS, Ubuntu, CentOS, and more. Below are the installation instructions for different platforms:

Windows Installation:

  1. Visit the official Python website:

  2. Navigate to the "Downloads" section.

  3. Select the latest version compatible with your system (usually recommended for most users).

  4. Run the installer and make sure to check the box that says "Add Python to PATH" during installation.

Ubuntu Installation:

sudo apt-get update
sudo apt-get install python3.6

This will install Python 3.6 on your Ubuntu system.

Task 1: Getting Started

Step 1: Install Python and Check the Version

Follow the installation instructions provided above for your respective operating system. Once installed, open a terminal or command prompt and type the following command to check the installed Python version:

python --version

Step 2: Understanding Data Types in Python

Python supports several data types, including integers, floats, strings, lists, dictionaries, and more. Familiarizing yourself with these types is crucial for writing effective Python programs.

For example:

  • Integers: 1, 2, 100

  • Floats: 3.14, 2.71828

  • Strings: 'Hello, World!', "Python is awesome"

  • Lists: [1, 2, 3, 4, 5]

  • Dictionaries: {'key1': 'value1', 'key2': 'value2'}

Take some time to read about these data types and understand how they are used in Python.


Congratulations! You've taken the first steps towards becoming proficient in Python. In this blog post, we covered the basics of Python, including its features, installation process, and an introductory task to check the Python version and explore different data types.

In the next installment, we'll delve deeper into Python programming concepts, including variables, control structures, and functions, to equip you with the foundational knowledge needed for DevOps automation.

Stay tuned for more Python adventures!

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