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Python and Rust with Linux Command Line Tools

Noah Gift and Alfredo Deza

5.0

Based on 16 ratings

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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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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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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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Reviews summary

Building practical cli tools with python and rust

According to learners, this course offers a comprehensive and practical approach to building command-line tools using both Python and Rust. Students particularly appreciate the hands-on projects and assignments, finding them effective for solidifying understanding and providing real-world applicability. The course's unique integration of PyO3 for Python-Rust interoperability is highlighted as a significant strength. While some earlier feedback suggested a fast pace for Rust beginners, recent reviews indicate the instructor has made significant updates, enhancing explanations and providing supplementary materials. This makes it a highly recommended resource, particularly for DevOps and backend professionals looking to develop efficient automation and utility tools.

Course content improved based on student feedback.

"The instructor has clearly updated the course based on feedback, making it much clearer for Rust beginners."

"I noticed that previous concerns about the pacing, especially for Rust, have been addressed and improved."

"It's great to see a course that evolves; the recent additions significantly enhance the learning experience."

Instructor breaks down complex concepts effectively.

"The instructor explains complex topics like Rust and AWS Lambda very clearly, making them accessible."

"I appreciated the instructor's ability to simplify difficult concepts into digestible lessons."

"Lectures are well-structured and easy to follow, even when diving into advanced topics."

Effectively covers interoperability with PyO3.

"The PyO3 section is a true highlight; it perfectly bridges the gap between Python and Rust."

"I found the unique aspect of using Rust with Python, especially for CPU-bound operations, incredibly insightful."

"This course opened my eyes to the power of combining Python and Rust for high-performance CLI tools."

Assignments provide hands-on experience and applicability.

"The practical exercises and projects were invaluable; they really helped me apply what I learned to real-world scenarios."

"I found the hands-on coding and projects to be the strongest part of the course."

"The practical applications of command-line tools in this course are well-structured and highly relevant to my daily work."

Highly relevant for DevOps and backend roles.

"This course is perfectly tailored for anyone in DevOps, systems engineering, or backend development."

"I can immediately apply the skills learned here to automate tasks in my data engineering role."

"It's a valuable addition for professionals aiming to build robust and efficient command-line utilities."

Some find Rust pacing fast for beginners.

"As a complete beginner to Rust, I found some sections quite fast-paced and needed external resources to keep up."

"I wished there was a bit more foundational Rust knowledge before diving into advanced topics."

"While generally excellent, a slightly slower introduction to Rust concepts would benefit new learners."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python and Rust with Linux Command Line Tools with these activities:

Python for CLI Development

Show steps

Review Python fundamentals, including data types, control flow, and functions, to strengthen your foundation for CLI development.

Browse courses on Python Basics

Show steps

Review Python syntax and data types.
Practice control flow using conditional statements and loops.
Define and call functions to organize code.
Utilize Python modules and packages.

Show all one activities

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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

The Rust Programming Language, 2nd Edition