Day 13: Python Fundamentals for DevOps

Day 13: Python Fundamentals for DevOps

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2 min read

Let's start with the basics of Python as this is also important for a DevOps engineer to learn Python to build logic and programs.

What is Python?

Python is an open-source programming language used for automating repetitive tasks, managing infrastructure through Infrastructure as Code (IaC), integrating with various tools and APIs, and analyzing logs and monitoring system performance.

Python's simplicity, cross-platform compatibility, and extensive libraries make it a preferred choice among DevOps engineers. It's also utilized for custom tool development and, increasingly, for machine learning and data analysis in tasks like anomaly detection and resource optimization. The active Python community and rich ecosystem further enhance its value in the DevOps landscape.

How to install Python?

You can install Python in your system whether it is Windows, macOS, Ubuntu, Centos etc. Here's the link for Python installation:

Install Python and check the version

In Linux(Ubuntu), write sudo apt-get install python3.6 command and the python will install automatically. You don't need to click on next to install the packages in Linux. After the installation, write the python --version command to check the current version of the python you are using. Simple as that in Linux.

Data Types in Python

Data types are defined as which type of type of value a variable can hold. Python is dynamically typed, which means you don't need to define the data type of the variable. Instead, Python determines the data type based on the assigned value. Here are some data types in Python:

  1. Integer (int): Represents whole numbers, both positive and negative, without a decimal point. For example, 42 or -17.

  2. Float (float): Represents real numbers with a decimal point or in exponential form. For example, 3.14 or 1.5e-5.

  3. String (str): Represents a sequence of characters enclosed in single, double, or triple quotes. For example, 'Hello, World!' or "Python".

  4. Boolean (bool): Represents either True or False. Used for logical operations and conditional statements.

  5. List: A collection of ordered, mutable elements enclosed in square brackets ([]). Lists can contain elements of different data types.

There are more data types in Python and I choose these for the basic knowledge of Python. These data types are fundamental in Python and provide flexibility for various programming tasks. Python's dynamic typing allows the variable to change its data type as needed during program execution.

<That is enough for Python basics, Thank you and Follow me to join me in the journey of learning DevOps>

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