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Alfredo Deza
Build powerful automation utilities for the terminal with Python and Rust
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Build powerful automation utilities for the terminal with Python and Rust
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/tsuep2/python
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What's inside
Learning objectives
- Build powerful command line tools in rust and python
- Use python with rust for building powerful tools
- Package and distribute your tools
- Build powerful command line tools in rust and python
- Use python with rust for building powerful tools
- Package and distribute your tools
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces essential skills for automating data systems and engineering tasks
Taught by experts with a strong reputation in software development and data analysis
Suitable for students with little experience with Python and Rust, with a focus on building practical skills
Students can package and distribute their developed tools
Introduces best practices for creating user-friendly command-line interfaces
Leverages Python's extensive libraries for various tasks, including data manipulation
Save this course
Save Python and Rust with Linux Command Line Tools to your list so you can find it easily later:
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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:
Connect with Experienced CLI Developers
Show steps
Seek out mentors or experienced CLI developers who can provide guidance, answer questions, and share their expertise.
Show steps
-
Join online communities or forums related to CLI development
-
Attend workshops or meetups focused on CLI tools
-
Reach out to professionals in your network or via LinkedIn
Read 'Effective Python' by Brett Slatkin
Show steps
Supplement your Python knowledge by reviewing this book, which provides practical guidance on writing efficient and maintainable Python code.
View
Effective Python: 90 Specific Ways to Write...
on Amazon
Show steps
Build a CLI Utility in Python
Show steps
Gain hands-on experience in building a Python command-line utility by following a structured tutorial.
Show steps
-
Find a suitable tutorial or documentation on building CLI utilities in Python
-
Follow the tutorial step-by-step, implementing the necessary code
-
Test your utility using sample inputs and verify its functionality
Three other activities
Expand to see all activities and additional details
Show all six activities
Practice Python Command-Line Parsing
Show steps
Reinforce your understanding of Python's command-line parsing capabilities through practice.
Show steps
-
Create a simple Python script that takes command-line arguments
-
Parse the arguments using Python's `argparse` module
-
Print the parsed arguments to verify their validity
Build a Multi-Command CLI Utility with Subcommands
Show steps
Extend your understanding of CLI development by creating a utility with multiple subcommands, enabling efficient execution of specific tasks.
Show steps
-
Design the structure and hierarchy of the subcommands
-
Implement the subcommands using Python or Rust
-
Test and refine the functionality of each subcommand
-
Create a help or documentation system for the utility
Contribute to a Rust or Python Open-Source CLI Project
Show steps
Gain real-world experience by contributing to a Rust or Python CLI project, immersing yourself in community development and best practices.
Show steps
-
Identify a suitable open-source CLI project on GitHub
-
Review the project's documentation and codebase
-
Identify an area for potential contribution
-
Fork the project and implement your proposed changes
-
Submit a pull request and engage in code review
Connect with Experienced CLI Developers
Show steps
Seek out mentors or experienced CLI developers who can provide guidance, answer questions, and share their expertise.
Show steps
Show steps
Show steps
- Join online communities or forums related to CLI development
- Attend workshops or meetups focused on CLI tools
- Reach out to professionals in your network or via LinkedIn
Read 'Effective Python' by Brett Slatkin
Show steps
Supplement your Python knowledge by reviewing this book, which provides practical guidance on writing efficient and maintainable Python code.
View
Effective Python: 90 Specific Ways to Write...
on Amazon
Show steps
Show steps
Show steps
Build a CLI Utility in Python
Show steps
Gain hands-on experience in building a Python command-line utility by following a structured tutorial.
Show steps
Show steps
Show steps
- Find a suitable tutorial or documentation on building CLI utilities in Python
- Follow the tutorial step-by-step, implementing the necessary code
- Test your utility using sample inputs and verify its functionality
Three other activities
Expand to see all activities and additional details
Show all six activities
Practice Python Command-Line Parsing
Show steps
Reinforce your understanding of Python's command-line parsing capabilities through practice.
Show steps
Show steps
Show steps
- Create a simple Python script that takes command-line arguments
- Parse the arguments using Python's `argparse` module
- Print the parsed arguments to verify their validity
Build a Multi-Command CLI Utility with Subcommands
Show steps
Extend your understanding of CLI development by creating a utility with multiple subcommands, enabling efficient execution of specific tasks.
Show steps
Show steps
Show steps
- Design the structure and hierarchy of the subcommands
- Implement the subcommands using Python or Rust
- Test and refine the functionality of each subcommand
- Create a help or documentation system for the utility
Contribute to a Rust or Python Open-Source CLI Project
Show steps
Gain real-world experience by contributing to a Rust or Python CLI project, immersing yourself in community development and best practices.
Show steps
Show steps
Show steps
- Identify a suitable open-source CLI project on GitHub
- Review the project's documentation and codebase
- Identify an area for potential contribution
- Fork the project and implement your proposed changes
- Submit a pull request and engage in code review
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:
Software Developer
Software Developer
Software Developers design, develop, and test software applications. They may work on a variety of projects, including developing new features for existing software, creating new applications, or maintaining and updating existing software. This course can help you get started in this field by teaching you the basics of Python and Rust, two popular programming languages used in software development. You'll also learn how to use the Linux command line to automate tasks and improve your productivity.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make better decisions. They use a variety of tools and techniques to extract insights from data, including Python, Rust, and the Linux command line. This course can help you get started in this field by teaching you the basics of these tools and techniques.
Systems Engineer
Systems Engineer
Systems Engineers design, implement, and maintain computer systems. They work with a variety of hardware and software components to ensure that systems are running smoothly and efficiently. This course can help you get started in this field by teaching you the basics of Python, Rust, and the Linux command line. You'll also learn how to use these tools to automate tasks and improve your productivity.
DevOps Engineer
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. They use a variety of tools and techniques to automate tasks and improve the software development process. This course can help you get started in this field by teaching you the basics of Python, Rust, and the Linux command line. You'll also learn how to use these tools to automate tasks and improve your productivity.
Cloud Engineer
Cloud Engineer
Cloud Engineers design, implement, and maintain cloud computing systems. They work with a variety of cloud platforms, including AWS, Azure, and GCP. This course can help you get started in this field by teaching you the basics of Python, Rust, and the Linux command line. You'll also learn how to use these tools to automate tasks and improve your productivity.
Security Analyst
Security Analyst
Security Analysts identify, assess, and mitigate security risks. They use a variety of tools and techniques to protect systems and data from unauthorized access. This course can help you get started in this field by teaching you the basics of Python, Rust, and the Linux command line. You'll also learn how to use these tools to automate tasks and improve your productivity.
Network Engineer
Network Engineer
Network Engineers design, implement, and maintain computer networks. They work with a variety of hardware and software components to ensure that networks are running smoothly and efficiently. This course can help you get started in this field by teaching you the basics of Python, Rust, and the Linux command line. You'll also learn how to use these tools to automate tasks and improve your productivity.
Database Administrator
Database Administrator
Database Administrators design, implement, and maintain databases. They work with a variety of database technologies to ensure that databases are running smoothly and efficiently. This course can help you get started in this field by teaching you the basics of Python, Rust, and the Linux command line. You'll also learn how to use these tools to automate tasks and improve your productivity.
Web Developer
Web Developer
Web Developers design, develop, and maintain websites. They work with a variety of programming languages and technologies to create websites that are functional, user-friendly, and visually appealing. This course can help you get started in this field by teaching you the basics of Python, Rust, and the Linux command line. You'll also learn how to use these tools to automate tasks and improve your productivity.
Mobile Developer
Mobile Developer
Mobile Developers design, develop, and maintain mobile applications. They work with a variety of programming languages and technologies to create mobile applications that are functional, user-friendly, and visually appealing. This course can help you get started in this field by teaching you the basics of Python, Rust, and the Linux command line. You'll also learn how to use these tools to automate tasks and improve your productivity.
Game Developer
Game Developer
Game Developers design, develop, and maintain video games. They work with a variety of programming languages and technologies to create video games that are fun, engaging, and visually appealing. This course can help you get started in this field by teaching you the basics of Python, Rust, and the Linux command line. You'll also learn how to use these tools to automate tasks and improve your productivity.
Technical Writer
Technical Writer
Technical Writers create documentation for software, hardware, and other technical products. They use a variety of writing skills to create documentation that is clear, concise, and easy to understand. This course can help you get started in this field by teaching you the basics of Python, Rust, and the Linux command line. You'll also learn how to use these tools to automate tasks and improve your productivity.
Product Manager
Product Manager
Product Managers work with a variety of stakeholders to define, develop, and launch new products. They use a variety of skills to gather feedback, identify needs, and develop products that meet the needs of customers. This course can help you get started in this field by teaching you the basics of Python, Rust, and the Linux command line. You'll also learn how to use these tools to automate tasks and improve your productivity.
Project Manager
Project Manager
Project Managers work with teams to plan, execute, and deliver projects. They use a variety of skills to manage budgets, timelines, and resources. This course can help you get started in this field by teaching you the basics of Python, Rust, and the Linux command line. You'll also learn how to use these tools to automate tasks and improve your productivity.
Business Analyst
Business Analyst
Business Analysts work with stakeholders to identify business needs and develop solutions. They use a variety of skills to gather requirements, analyze data, and make recommendations. This course can help you get started in this field by teaching you the basics of Python, Rust, and the Linux command line. You'll also learn how to use these tools to automate tasks and improve your productivity.
For more career information including salaries, visit:
OpenCourser.com/course/tsuep2/python
Reading list
We've selected 19 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.
Comprehensive guide to advanced Linux programming. It covers all of the basics, including process management, file systems, and network programming.
Comprehensive guide to machine learning with Python. It covers all of the basics, including data preprocessing, model training, and model evaluation. It also includes a number of case studies.
Teaches you how to use Python to automate tasks on your computer. It covers a wide range of topics, including web scraping, data analysis, and system administration.
Comprehensive guide to the Rust programming language. It covers all the basics of the language, as well as more advanced topics such as memory management and concurrency. This book great resource for anyone who wants to learn more about Rust.
Classic guide to software development. It covers all of the basics, including software design, software testing, and software maintenance.
Save
Guide to writing clean code. It covers all of the basics, including code formatting, code organization, and code documentation.
Save
Comprehensive guide to the Rust programming language. It covers all the basics of the language, as well as more advanced topics such as memory management and concurrency. This book great resource for anyone who wants to learn more about Rust.
Save
Classic guide to design patterns. It covers all of the basics, including creational patterns, structural patterns, and behavioral patterns.
Save
Deep dive into the Python programming language. It covers advanced topics such as decorators, generators, and metaprogramming. This book great resource for anyone who wants to learn more about the inner workings of Python.
More accessible guide to design patterns. It uses a visual approach to explain all of the basics.
Save
Is an introduction to computer science using Python. It covers all the basics of programming, including data types, control flow, and functions. This book great resource for anyone who wants to learn more about programming in Python.
Save
Hands-on guide to the Rust programming language. It covers all the basics of the language, as well as more advanced topics such as memory management and concurrency. This book great resource for anyone who wants to learn more about Rust.
Guide to using Python to automate tasks. It covers all the basics of Python, as well as more advanced topics such as web scraping and data analysis. This book great resource for anyone who wants to learn more about using Python to automate tasks.
Guide to using Python for data analysis. It covers all the basics of data analysis, as well as more advanced topics such as machine learning and data visualization. This book great resource for anyone who wants to learn more about using Python for data analysis.
Guide to using Python for machine learning. It covers all the basics of machine learning, as well as more advanced topics such as deep learning and natural language processing. This book great resource for anyone who wants to learn more about using Python for machine learning.
Guide to using Python for deep learning. It covers all the basics of deep learning, as well as more advanced topics such as convolutional neural networks and recurrent neural networks. This book great resource for anyone who wants to learn more about using Python for deep learning.
Guide to using Python for natural language processing. It covers all the basics of natural language processing, as well as more advanced topics such as machine translation and text classification. This book great resource for anyone who wants to learn more about using Python for natural language processing.
Teaches you how to build machine learning models from scratch using Python. It covers all of the basics, including data preprocessing, model training, and model evaluation.
Guide to using the Linux command line. It covers all the basics of the command line, as well as more advanced topics such as scripting and automation. This book great resource for anyone who wants to learn more about using the Linux command line.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/tsuep2/python
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Effort
3 to 6 hours per week for 4 weeks
Level
Introductory
Via
edX
Institution
Pragmatic AI Labs
Instructor
Alfredo Deza
Session
March 14, 2024
- March 15, 2025
Language
English
Transcript
English
Good to know
Introduces essential skills for automating data systems and engineering tasks
Taught by experts with a strong reputation in software development and data analysis
Suitable for students with little experience with Python and Rust, with a focus on building practical skills
Students can package and distribute their developed tools
Introduces best practices for creating user-friendly command-line interfaces
Leverages Python's extensive libraries for various tasks, including data manipulation
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