Applied command line tool automation with Python and Rust for efficient task management.
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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.
This course is part of the Rust Programming Professional Certificate.
What you'll learn
- Build powerful command line tools in Rust and Python
- Use Python with Rust for building powerful tools
- Package and distribute your tools
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)
