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Mastering Automation with Ansible

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Bron: artikel gedeeltelijk overgenomen van blog.devops.dev
Origineel auteur: Michael Hagans

mastering-automation

Are you ready to embark on your coding journey? Whether you’re a seasoned developer or just starting, setting up the right development environment is crucial for a smooth and productive workflow. In this guide, we’ll walk you through the steps to create a robust development environment using popular tools like Microsoft Visual Studio Code, Python, and Ansible.

Once we get through these next few steps, we’ll be on to the fun part!

Step 1: Microsoft Visual Studio Code (VS Code) Microsoft Visual Studio Code is a versatile, lightweight code editor that’s loved by developers worldwide. Here’s how to get started:

Download and Install VS Code: Visit the official VS Code website https://code.visualstudio.com/ and download the installer for your operating system. Follow the on-screen instructions to complete the installation process. Customizing Your Environment: VS Code offers a wide range of extensions and settings to customize your coding experience. Explore the marketplace under the “Extensions” icon. More on that later… Step 2: Python Python is a powerful and beginner-friendly programming language used for a variety of purposes, from web development to data analysis. Follow these steps to install Python on your machine:

Download Python: Navigate to the official Python website (https://www.python.org/) and download the latest version of Python for your operating system. Install Python: Run the installer and follow the prompts to install Python. Make sure to check the box that says “Add Python to PATH” to ensure Python is accessible from the command line. Verify Installation: Open a terminal or command prompt and type python --version to verify that Python has been installed correctly. You should see the version number printed on the console. Step 3: Creating a Virtual Environment Create a folder under “Documents” named “Ansible_Tutorial” and open a terminal or command prompt in this directory. Now, follow the below steps to create your virtual environment in this location.

For Mac:

python3 -m venv venv

For Windows:

python -m venv venv

To activate the virtual environment, follow the below steps.