AI: Python and Rust with Linux Command Line Tools

Build powerful automation utilities for the terminal with Python and Rust. This course is designed to teach you how to implement automation and utilities via the command-line interface (CLI), utilizing both Python and Rust. Whether you are a beginner or have some programming experience, this course will provide the foundational skills needed to create effective and efficient command-line utilities.

This course provides an in-depth exploration of command-line utility development using Python and Rust. It covers everything from basic command-line interactions to the advanced integration of Rust with Python for performance-intensive tasks. The course also includes tutorials on how to distribute your tools using PyPI and crates.io.

Building robust command-line tools using Python and Rust.
Integrating Python and Rust to harness the strengths of both languages in projects.
Distributing and packaging command-line tools effectively.
Utilizing best practices in command-line interface design and implementation.

While no prior knowledge of Python or Rust is required, it is recommended that participants have a basic understanding of programming concepts. This foundational knowledge will aid in quickly grasping the content covered in the course.

Parsing CLI arguments and creating subcommands.
Generating detailed reports through CLI tools.
Writing optimized Rust code for enhancing performance.
Learning methods to distribute and share CLI tools publicly.

This course is ideal for developers, system administrators, and any IT professionals who are interested in automating tasks and building custom command-line tools to enhance productivity in their workflows.

Upon completion of this course, participants will be able to efficiently automate repetitive tasks, enhance system operations, and build custom tools for data and systems management which can significantly reduce error rates and increase operational efficiency in real-world scenarios.

Module 1: Basic CLI Tool Development

Introduction to Python and Rust CLI tools.
Environment setup for development.
Essentials of command-line arguments and user input.
Modular programming for expanding tool functionality.
Error handling and logging.
Performance optimization techniques.

Module 2: Advanced Command-line Tool Development

Detailed exploration of advanced topics, including tool distribution and package management.

Module 3: Using Rust with Python

Techniques for integrating Rust's performance capabilities with Python's simplicity.

Module 4: Rust AWS Lambda

Deploying Rust-powered applications on AWS Lambda for serverless computing architecture.