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Coursera Course

Advanced Python CLI Examples

A small Python CLI example you can use to build on. With an emphasis on Linux and creating automation tools that solve a problem for you. This is the basis for DevOps principles that you can apply in your own environment as well as production environments for automating tasks and making your an efficient engineer.

This repository is Codespaces ready, and it is set as a template repository. You can create a new repository from this template and start working on your own with Codespaces. This means that Python, Copilot, and all the extensions are already installed and configured for you.

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This repository is part of the Python and Rust CLI tools course:

Contents

This week has several examples located in the ./examples directory. Make sure you have Rust installed and you are using Visual Studio Code.

This repository is Codespaces ready, and it is set as a template repository. You can create a new repository from this template and start working on your own with Codespaces. This means that Rust, Copilot, and all the extensions are already installed and configured for you.

These are all the tools and editor extensions recommended for Python development:

Lesson 1: Developing complex Command-line tools

Lesson 2: Packaging and distributing your tool

Lesson 3: Logging and error handling strategies

Lesson 4: Practice Lab

Use the included practice lab to apply the content you've learned in this week. Follow the steps to create your own repository and apply the requirements to complete the lab.

Resources

Explore additional content that you can use to learn more about the topics covered in this course.

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