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Python and Rust with Linux Command Line Tools

Noah Gift and Alfredo Deza

This course is designed for beginners and those with some programming experience in either Python or Rust that want to implement automation and utilities in the command-line. Although no prior knowledge of Python or Rust is required, basic programming knowledge is recommended as well as some familiarity with the command-line interface (CLI). Throughout the course, you will gain a solid foundation for building efficient, reliable, and high-performance command-line tools that can help you automate tasks for data engineering, systems engineering, and DevOps. By completing this course, you will have the skills to develop and distribute sophisticated and efficient command-line tools.

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What's inside

Syllabus

Introduction to Command-line tools with Python and Rust
This week, you will learn how to create a basic command-line tool in Python and Rust, handle command-line arguments and options, organize code into modules and packages, and implement logging and error handling. You will apply these skills by developing a command-line tool that accepts user input, uses modules to organize code, logs output, and handles errors gracefully. The tool will demonstrate your ability to build a functional CLI program using best practices covered this week.
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Advanced Command-line tool development
This week, you will learn how to create command-line tools with subcommands, parse complex arguments, and incorporate environment variables in both Rust and Python. You will apply these skills by developing a fully-featured command-line tool that can handle subcommands, arguments, and environment variables in a user-friendly way. The tool will demonstrate your proficiency in organizing functionality, flexibly handling input, and integrating with the environment in Rust and Python.
Using Rust with Python
his week, you will learn how to explore advanced PyO3 features such as handling exceptions, custom conversions, and utilizing attributes. You'll also delve into the best practices for mixing Rust and Python, and understand how Rust can be leveraged for CPU-bound operations in Python. Furthermore, you'll begin the process of converting Python scripts into command-line tools using Rust, and familiarize yourself with error handling and logging in Rust CLI applications. To apply what you've learned, you'll be assessed through a series of hands-on exercises, including: Implementing a Rust function with custom exception handling that can be called from Python. Converting a simple Python script into a Rust CLI tool, focusing on the first part of the conversion process. Writing a brief case study analysis on how Rust can optimize CPU-bound operations in a given Python project. By the end of this week, you'll have a solid understanding of advanced Rust and Python integration techniques.
Rust AWS Lambda
This week, you will learn how to create, deploy, and manage AWS Lambda functions using Rust, leveraging the power and performance of the language for serverless architecture, and applying it by building a real-world Lambda function as a part of a distributed application.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops essential foundational skills that are core to command-line proficiency
Introduces students to advanced concepts and techniques for creating robust and powerful command-line tools
Provides opportunities for hands-on practice through exercises and assessments, reinforcing learning and enhancing skill development
Facilitates collaboration and knowledge sharing among students through discussion forums, fostering a sense of community
Provides a comprehensive overview of command-line tools and their applications, making it suitable for both beginners and those seeking to advance their skills
Emphasizes best practices and industry standards for command-line tool development, ensuring students are equipped with industry-relevant knowledge

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Activities

Coming soon We're preparing activities for Python and Rust with Linux Command Line Tools. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Python and Rust with Linux Command Line Tools will develop knowledge and skills that may be useful to these careers:
Rust Developer
As a Rust developer, this course will introduce you to the language and help you build advanced command-line tools. Rust is a systems programming language that emphasizes safety, speed, and concurrency, so you will learn to build efficient tools that can run on multiple threads simultaneously. This course offers a foundation in Rust that will serve you well in this in-demand programming field.
Python Developer
Python is one of the primary programming languages covered in this course, which means you will build upon your Python knowledge and skills. You will learn how to enhance Python code using Rust, which you can implement on the job to optimize CPU-bound Python operations to improve your team's products and services.
DevOps Engineer
This course can equip you with the skills necessary to succeed as a DevOps engineer. You will learn how to implement automation using Python and Rust, which will allow you to improve the efficiency and reliability of your team's software development and deployment processes.
Systems Engineer
As a Systems Engineer, this course will teach you how to create efficient, high-performance command-line tools. These tools will help you with systems administration, IT operations, and software deployment and maintenance tasks.
Cloud Engineer
Cloud Engineers who want to learn how to use Rust to develop and deploy serverless functions on AWS Lambda should take this course. You will learn how to create, deploy, and manage Rust Lambda functions, which can be used to build scalable, cost-effective applications.
Software Engineer
This course provides a solid foundation for software engineering. You will learn how to build efficient, reliable, and high-performance command-line tools in Python and Rust, which are valuable skills for any software engineer.
Security Engineer
This course will be helpful for Security Engineers who want to learn how to use Python and Rust to create command-line tools for security monitoring, threat detection, and incident response.
IT Manager
This course is designed to help IT Managers learn how to use Python and Rust to create command-line tools that can automate IT management tasks, such as user provisioning, server management, and network monitoring.
Solutions Architect
This course will be helpful for Solutions Architects who want to learn how to design and implement scalable, fault-tolerant systems. You will learn how to use Python and Rust to create command-line tools that can help you with system design, performance optimization, and troubleshooting.
Technical Program Manager
As a Technical Program Manager, you will learn how to use Python and Rust to create command-line tools that can automate project management tasks, track project progress, and manage resources.
Web Developer
Web Developers who want to learn how to use Python and Rust to create command-line tools for web development should take this course. You will learn how to use these languages to create tools for website testing, debugging, and deployment.
Network Engineer
Network Engineers who want to learn how to use Python and Rust to create command-line tools for network management should take this course. You will learn how to use these languages to create tools for network monitoring, troubleshooting, and configuration management.
Data Analyst
This course may be helpful for a Data Analyst who wants to learn how to automate data analysis tasks. You will learn how to use Python and Rust to create command-line tools that can perform data manipulation, data visualization, and statistical analysis.
Database Administrator
This course may be helpful for Database Administrators who want to learn how to automate database administration tasks. You will learn how to use Python and Rust to create command-line tools that can perform database backups, database restores, and database performance tuning.
Mobile Developer
This course may be useful for Mobile Developers who want to learn how to use Python and Rust to create command-line tools for mobile development. You will learn how to use these languages to create tools for mobile app testing, debugging, and deployment.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Python and Rust with Linux Command Line Tools.
Is the official reference guide for the Rust programming language, providing comprehensive documentation and explanations of its syntax, semantics, and libraries. It valuable resource for those who want to master Rust and its intricacies.
Is an in-depth guide to the internals of the Rust language, covering topics such as memory management, concurrency, and compiler optimizations. It is recommended for advanced learners who want to gain a deeper understanding of Rust's underlying mechanisms.
Practical guide to Rust, providing in-depth coverage of its core concepts, syntax, and features. It is highly recommended for those who want to gain a deeper understanding of Rust and its capabilities for developing command-line tools.
Provides a comprehensive introduction to Python programming, covering fundamental concepts, data structures, and algorithms. It is particularly useful for beginners who want to establish a strong foundation in Python for building command-line tools.
Comprehensive guide to modern C++ programming, covering best practices, design principles, and effective coding techniques. While it is not directly related to Rust or Python, it provides valuable insights into software design and development, which can benefit learners who want to write high-quality command-line tools.
Offers practical advice and best practices for writing efficient and maintainable Python code. It covers topics such as code organization, error handling, testing, and performance optimization, which are essential for writing reliable command-line tools.
Provides a comprehensive overview of Python's capabilities for data analysis and manipulation. It covers topics such as data structures, data manipulation, and visualization, which are useful for building command-line tools that process and analyze data.
Explores advanced topics in Python programming, including object-oriented programming, design patterns, and concurrency. It is suitable for learners who want to extend their Python skills for building complex command-line tools.
Provides a comprehensive overview of the Python standard library, covering its modules and functions. It valuable resource for learners who want to explore the rich set of tools available in Python for building command-line tools.

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