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edX

Python and Rust with Linux Command Line Tools

Pragmatic AI Labs via edX

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Overview

Build powerful automation utilities for the terminal with Python and Rust

  • Learn to build efficient, reliable command-line utilities
  • Gain skills for automating tasks in data/systems engineering
  • No prior Python/Rust knowledge required, but programming basics recommended
  • Understand best practices for CLI tool development and distribution

This course teaches you how to implement automation and utilities via the command-line interface (CLI) using Python and Rust. Designed for beginners and those with some programming experience.

  • Step-by-step tutorials cover core concepts like parsing CLI args, creating subcommands, generating reports, and more
  • Write high-performance Rust code for CPU/memory-intensive tasks
  • Leverage Python's rich libraries for file I/O, HTTP requests, and data manipulation
  • Learn techniques for distributing your CLI tools via PyPI and crates.io
  • Best practices for designing intuitive, user-friendly command-line interfaces

By completing this course, you'll gain a solid foundation in Python and Rust to develop sophisticated, powerful command-line tools for automating workflows across various domains.

Syllabus

Module 1:

\- 25 videos (Total 173 minutes)

\- Meet your instructor: Alfredo Deza (Video, 1 minute, Preview module)

\- Meet your instructor: Noah Gift (Video, 0 minutes)

\- About this course (Video, 1 minute)

\- Introduction (Video, 1 minute)

\- Setting up your development environment for Command-line tool development (Video, 7 minutes)

\- Your first Command-line tool in Python (Video, 12 minutes)

\- Working with user input: arguments and options (Video, 12 minutes)

\- Expanding your tool's functionality with modules and libraries (Video, 8 minutes)

\- Managing output: logging, errors, and exceptions (Video, 10 minutes)

\- Optimizing your Command-line tools: performance and best practices (Video, 8 minutes)

\- Introduction (Video, 1 minute)

\- Setting up your development environment for Command-line development (Video, 11 minutes)

\- Your first Command-line tool in Rust (Video, 12 minutes)

\- Working with user input: arguments and options (Video, 9 minutes)

\- Expanding your tool's functionality with modules and libraries (Video, 7 minutes)

\- Managing output: logging, errors, and panics (Video, 11 minutes)

\- Optimizing your Command-line tools: Performance and best practices (Video, 9 minutes)

\- Introduction (Video, 1 minute)

\- Organizing your project with modules and packages in Python (Video, 12 minutes)

\- Working with dependencies and libraries in Python (Video, 7 minutes)

\- The Python Package Index (Video, 4 minutes)

\- Creating and using modules in Rust (Video, 4 minutes)

\- Advanced module usage in Rust (Video, 3 minutes)

\- Working with dependencies and libraries in Rust (Video, 5 minutes)

\- Using crates.io for Rust (Video, 4 minutes)

\- 12 readings (Total 120 minutes)

\- Course structure and discussion etiquette (Reading, 10 minutes)

\- A basic Python CLI example (Reading, 10 minutes)

\- External lab: build a basic Python CLI (Reading, 10 minutes)

\- Introduction to the Click framework (Reading, 10 minutes)

\- Introduction to building a Rust CLI (Reading, 10 minutes)

\- External lab: Setup your environment (Reading, 10 minutes)

\- External lab: build a basic Rust CLI (Reading, 10 minutes)

\- External lab: Create a Python Package Index account (Reading, 10 minutes)

\- The Python Packaging Index (Reading, 10 minutes)

\- Explore modules, packages, and third-party Rust crates (Reading, 10 minutes)

\- External lab: update a Rust CLI to use modules (Reading, 10 minutes)

\- End of week reflections (Reading, 10 minutes)

\- 1 quiz (Total 30 minutes)

\- CLI basics Quiz (Quiz, 30 minutes)

\- 1 discussion prompt (Total 10 minutes)

\- Meet and greet (optional) (Discussion prompt, 10 minutes)

\- 1 ungraded lab (Total 60 minutes)

\- Simple Command-line tool in Python (Ungraded lab, 60 minutes)

Module 2: Advanced Command-line tool development

\- 21 videos (Total 136 minutes)

\- 13 readings (Total 130 minutes)

\- 1 quiz (Total 30 minutes)

Module 3: Using Rust with Python

\- 21 videos (Total 91 minutes)

\- 9 readings (Total 90 minutes)

\- 1 quiz (Total 30 minutes)

Module 4: Rust AWS Lambda

\- 21 videos (Total 88 minutes)

\- 14 readings (Total 140 minutes)

\- 1 quiz (Total 30 minutes)

\- 1 ungraded lab (Total 60 minutes)

Taught by

Alfredo Deza

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