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Alfredo Deza

In this 2-hour long project-based course, you will learn how to create command line interface tools using Python. You will use standard library modules like sys and subprocess to parse arguments and run external commands. You will also learn how to process raw command output in Python to filter and format results. By the end, you will be able to build basic but practical CLI utilities using only Python to automate tasks and workflows.

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What's inside

Syllabus

Project Overview
Create simple Python scripts in this hands-on project that doesn't require any dependencies

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
This hands-on course is easy to begin because it does not require dependencies
Provides a solid grounding for beginners to develop CLI utilities
Teaches practical skills that can automate tasks and workflows
Utilized standard modules that are commonly found in industry

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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 Scripting with these activities:
Effective Python CLI Development
Supplement your course knowledge with this book to deepen your understanding of Python CLI development principles and best practices.
Show steps
  • Read chapters on command line argument parsing and processing
  • Explore examples and techniques for building effective CLIs
Show all one activities

Career center

Learners who complete Python Scripting will develop knowledge and skills that may be useful to these careers:
Project Manager
Project Managers plan, execute, and control projects to achieve specific goals and objectives. They use their knowledge of project management methodologies, tools, and techniques to ensure that projects are completed on time, within budget, and to the required quality standards. This course can help build a foundation for a career as a Project Manager by teaching you how to use Python to automate project tasks, track project progress, and manage project risks.
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. They combine their knowledge of statistics, mathematics, computer programming, and business acumen to build and deploy data-driven solutions. This course can help build a foundation for a career as a Data Scientist by teaching you how to use Python to process large datasets, develop predictive models, and communicate findings to stakeholders.
Business Analyst
Business Analysts analyze and improve business processes. They use their analytical skills to identify inefficiencies, develop solutions, and improve the overall efficiency and effectiveness of business operations. This course can help build a foundation for a career as a Business Analyst by teaching you how to use Python to analyze data, develop process flows, and present findings to stakeholders.
Software Engineer
Software Engineers design, develop, test, and maintain software systems. They use programming languages and software development tools to build software applications that meet specific business needs. This course can help build a foundation for a career as a Software Engineer by teaching you how to use Python to write clean and efficient code, debug software applications, and collaborate with other developers on software projects.
Data Analyst
A Data Analyst collects and interprets data to identify trends and patterns to meet business objectives. Data Analysts use data analysis tools to uncover valuable insights hidden in raw data and apply their analytical skills to solve real business problems. This course can help build a foundation for a career as a Data Analyst by teaching you how to use Python to process raw data, extract meaningful insights, and present findings to stakeholders to inform decision-making.
Database Administrator
Database Administrators manage and maintain databases for businesses and organizations. They use their technical expertise to ensure that databases are reliable, efficient, and secure. This course can help build a foundation for a career as a Database Administrator by teaching you how to use Python to administer databases, create database backups, and recover data from databases.
IT Consultant
IT Consultants provide IT services to businesses and organizations. They use their technical expertise to help clients solve IT problems, improve IT systems, and achieve their business goals. This course can help build a foundation for a career as an IT Consultant by teaching you how to use Python to troubleshoot IT systems, develop IT solutions, and manage IT projects.
Web Developer
Web Developers design and develop websites and web applications. They use programming languages, web development frameworks, and content management systems to create user-friendly and visually appealing websites that meet the needs of their clients. This course can help build a foundation for a career as a Web Developer by teaching you how to use Python to develop server-side web applications, build responsive websites, and integrate databases into web applications.
Network Administrator
Network Administrators manage and maintain computer networks for businesses and organizations. They use their technical expertise to ensure that networks are可靠, efficient, and secure. This course can help build a foundation for a career as a Network Administrator by teaching you how to use Python to automate network tasks, troubleshoot network problems, and manage network security.
Product Manager
Product Managers are responsible for the development and launch of new products. They work with teams of engineers, designers, and marketers to define the product vision, set product goals, and track product progress. This course can help build a foundation for a career as a Product Manager by teaching you how to use Python to gather user feedback, analyze market data, and make data-driven decisions.
Technical Writer
Technical Writers create and maintain technical documentation for software, hardware, and other products. They use their writing skills to explain complex technical concepts to a variety of audiences. This course can help build a foundation for a career as a Technical Writer by teaching you how to use Python to extract information from technical documents, create user guides, and write technical articles.
Systems Analyst
Systems Analysts design, develop, and implement information systems to meet the needs of their clients. They use a variety of tools and techniques to gather and analyze user requirements, design and implement systems, and train users on new systems. This course can help build a foundation for a career as a Systems Analyst by teaching you how to use Python to automate tasks, develop user interfaces, and integrate various software systems.
Security Analyst
Security Analysts plan, implement, and manage security measures to protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. This course can help build a foundation for a career as a Security Analyst by teaching you how to use Python to analyze security threats, detect security breaches, and respond to security incidents.
Computer Systems Analyst
Computer Systems Analysts design, implement, and maintain computer systems for businesses and organizations. They use their technical expertise to analyze system requirements, develop system architectures, and implement system solutions. This course can help build a foundation for a career as a Computer Systems Analyst by teaching you how to use Python to automate system tasks, manage system resources, and troubleshoot system problems.
Computer Programmer Analyst
Computer Programmer Analysts analyze user needs, design and develop software systems, and maintain and update existing software applications. They use their programming skills to write code, test software, and debug errors. This course can help build a foundation for a career as a Computer Programmer Analyst by teaching you how to use Python to develop software applications, write efficient code, and debug software errors.

Reading list

We've selected 12 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 Scripting.
Comprehensive guide to Python scripting, covering topics such as data manipulation, web scraping, and automating tasks. It is written in a clear and concise style, making it a great resource for beginners and experienced programmers alike.
Textbook that provides a comprehensive introduction to Python programming. It covers topics such as data types, control flow, functions, and object-oriented programming.
Collection of recipes for solving common Python programming problems. It covers a wide range of topics, from basic tasks such as file I/O to more advanced topics such as concurrency and networking.
Deep dive into the Python programming language. It covers advanced topics such as decorators, generators, and metaprogramming.
Comprehensive reference guide to the Python programming language. It covers all the major features of Python, from basic syntax to advanced topics such as concurrency and networking.
Is an introduction to using Python for data analysis. It covers topics such as data cleaning, data exploration, and data visualization.
Comprehensive reference guide to the Python programming language. It covers all the major features of Python, from basic syntax to advanced topics such as concurrency and networking.

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