Python & Rust CLI Tools - Pragmatic AI
This course is part of multiple programs. Learn more.
This comprehensive course teaches the fundamentals of command-line tool development using both Python and Rust. Students learn to create powerful automation utilities while understanding core concepts like CLI argument parsing, subcommand creation, and error handling. The curriculum covers essential topics including file I/O, HTTP requests, package distribution via PyPI and crates.io, and performance optimization. Through hands-on tutorials and practical exercises, participants develop skills in designing user-friendly command-line interfaces and implementing efficient automation solutions.
Instructors:
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What you'll learn
Build powerful command-line tools using Python and Rust
Implement efficient automation utilities for various workflows
Leverage Python libraries for data manipulation and HTTP requests
Optimize performance with Rust for resource-intensive tasks
Package and distribute tools via PyPI and crates.io
Design user-friendly command-line interfaces
Skills you'll gain
This course includes:
8 Hours PreRecorded video
4 quizzes, 2 ungraded labs, multiple discussion prompts
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 4 modules in this course
The course provides comprehensive training in building command-line tools using Python and Rust. Students learn to create efficient automation utilities through step-by-step tutorials, covering everything from basic CLI argument parsing to advanced topics like package distribution and AWS Lambda integration. The curriculum balances theoretical knowledge with practical implementation, ensuring students can develop sophisticated tools for real-world automation needs.
CLI Basics and Development Environment
Module 1
Advanced Command-line Tool Development
Module 2
Using Rust with Python
Module 3
Rust AWS Lambda
Module 4
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Rust Programming - Pragmatic AI, Rust Programming - Duke
Instructor
Adjunct Assistant Professor at Duke University
Dr. Alfredo Deza is an Adjunct Assistant Professor in the Pratt School of Engineering at Duke University, where he teaches courses on machine learning, programming, and data engineering. He has been involved in academia for several years, focusing on innovative teaching methods and practical applications of technology. Dr. Deza co-authored the book Practical MLOps and has published several other works related to Python and machine learning. His teaching includes courses such as Python Bootcamp and advanced data engineering topics, and he actively develops online courses available on platforms like Coursera. In addition to his academic role, Dr. Deza works in developer relations at Microsoft, leveraging his extensive experience in software engineering and cloud computing to enhance educational content and support for students and faculty. He collaborates with various universities worldwide, including Georgia Tech and Carnegie Mellon University, to promote knowledge sharing in the field of technology and data science.
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