Python Scripting for DevOps from Coursera

What's inside

Syllabus

Project Overview

In this 1-hour long project-based course on Python Scripting for DevOps, you will work with some of the core programming tools in Python. You will start by creating a file which we will then turn into an executable script that knows its relevant binaries. You will work with loops and list comprehension, if-conditionals, different data types including lists and dictionaries and more. You will learn how to work with these data types in the Python-way. You will further create your own module and import and consume the functions from it in other files. By the end of this course you will be comfortable to start working with Python code in programs, web development, or in cloud-based environments for scripting purposes. This course is designed for any person working or who intends to work with Python, from system administrators to developers and DevOps practitioners. Or even if you are a student who is curious to get comfortable with Python this course is for you also. This is an intermediate level course and is designed for an individual who has a basic foundation of computer programming in at least one language. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Suitable for professionals working with Python, such as system administrators, developers, and DevOps practitioners

Well-suited for learners with a basic foundation in computer programming, making it accessible to both experienced and aspiring Python users

Provides a comprehensive overview of Python scripting, covering core programming tools, loops, conditionals, data types, and module creation

Taught by Rudi Hinds, who brings expertise and knowledge in Python scripting

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 for DevOps with these activities:

Review Python syntax

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Picking up Python can be smoother if you refresh your knowledge of its syntax.

Browse courses on Python Syntax

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Revisit Python tutorial
Read through Python documentation

Follow a Python tutorial series

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Following a Python tutorial series can help to ensure that you leave no knowledge gaps behind.

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Locate suitable tutorial
Set aside time to follow tutorial

Practice writing Python scripts

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Writing Python scripts can help you to solidify your understanding of the core tools that you will work with.

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Locate Python exercises online
Practice solving Python coding challenges

Four other activities

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Create a Python cheat sheet

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Creating a cheat sheet can help you document what you have learned and provide a valuable resource that you can reference at any time in the future.

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Identify key concepts to include
Organize content
Create cheat sheet

Compile course notes

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Compiling notes can help you sort and summarize key concepts from the course.

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Review course materials
Extract key points
Create repository

Contribute to an open-source Python project

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Contributing to an open-source project can help you to develop your Python skills and give you a chance to collaborate with other developers.

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Locate suitable project
Review project documentation
Consider making contributions

Create a Python project

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To really put your knowledge to the test, you can try working on a project.

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Identify project scope
Plan project
Develop the project

Career center

Learners who complete Python Scripting for DevOps will develop knowledge and skills that may be useful to these careers:

DevOps Engineer

A DevOps Engineer is responsible for bridging the gap between development and operations teams. They work to ensure that software is developed, tested, and deployed efficiently and reliably. This course provides a solid foundation in Python scripting, which is an essential skill for DevOps Engineers. By learning how to write Python scripts, you will be able to automate tasks, provision infrastructure, and manage deployments. This will help you to improve the efficiency and reliability of your software development process.

See salaries and explore the career path for DevOps Engineer

Software Developer

A Software Developer is responsible for designing, developing, and maintaining software applications. They work with a variety of programming languages and technologies to create software that meets the needs of users. This course provides a solid foundation in Python scripting, which is a popular programming language for developing web applications, mobile applications, and desktop applications. By learning how to write Python scripts, you will be able to build software applications that are efficient, reliable, and user-friendly.

See salaries and explore the career path for Software Developer

System Administrator

A System Administrator is responsible for managing and maintaining computer systems. They work to ensure that systems are up and running, and that they are secure and reliable. This course provides a solid foundation in Python scripting, which is a valuable skill for System Administrators. By learning how to write Python scripts, you will be able to automate tasks, manage infrastructure, and troubleshoot problems. This will help you to improve the efficiency and reliability of your IT systems.

See salaries and explore the career path for System Administrator

Data Analyst

A Data Analyst is responsible for collecting, analyzing, and interpreting data. They work to identify trends and patterns in data, and to develop insights that can help businesses make better decisions. This course provides a solid foundation in Python scripting, which is a popular programming language for data analysis. By learning how to write Python scripts, you will be able to automate data analysis tasks, clean and prepare data, and develop data visualizations. This will help you to gain insights from data that can help your business make better decisions.

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Cloud Engineer

A Cloud Engineer is responsible for designing, building, and managing cloud-based infrastructure. They work to ensure that cloud-based applications are reliable, scalable, and secure. This course provides a solid foundation in Python scripting, which is a popular programming language for cloud computing. By learning how to write Python scripts, you will be able to automate cloud-based tasks, manage cloud infrastructure, and develop cloud-based applications. This will help you to build and manage cloud-based infrastructure that is efficient, reliable, and secure.

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Web Developer

A Web Developer is responsible for designing, developing, and maintaining websites. They work with a variety of programming languages and technologies to create websites that are user-friendly, efficient, and visually appealing. This course provides a solid foundation in Python scripting, which is a popular programming language for web development. By learning how to write Python scripts, you will be able to develop web applications that are efficient, reliable, and user-friendly.

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Mobile Developer

A Mobile Developer is responsible for designing, developing, and maintaining mobile applications. They work with a variety of programming languages and technologies to create mobile applications that are user-friendly, efficient, and visually appealing. This course provides a solid foundation in Python scripting, which is a popular programming language for mobile development. By learning how to write Python scripts, you will be able to develop mobile applications that are efficient, reliable, and user-friendly.

See salaries and explore the career path for Mobile Developer

Data Scientist

A Data Scientist is responsible for collecting, analyzing, and interpreting data. They work to identify trends and patterns in data, and to develop insights that can help businesses make better decisions. This course may be useful for Data Scientists who want to learn how to use Python for data analysis. By learning how to write Python scripts, you will be able to automate data analysis tasks, clean and prepare data, and develop data visualizations.

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Machine Learning Engineer

A Machine Learning Engineer is responsible for designing, building, and maintaining machine learning models. They work to develop machine learning models that can solve real-world problems, such as predicting customer behavior or identifying fraud. This course may be useful for Machine Learning Engineers who want to learn how to use Python for machine learning. By learning how to write Python scripts, you will be able to automate machine learning tasks, clean and prepare data, and develop machine learning models.

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Business Analyst

A Business Analyst is responsible for analyzing business processes and identifying areas for improvement. They work to develop solutions that can help businesses improve their efficiency and profitability. This course may be useful for Business Analysts who want to learn how to use Python for data analysis. By learning how to write Python scripts, you will be able to automate data analysis tasks, clean and prepare data, and develop data visualizations.

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Project Manager

A Project Manager is responsible for planning, executing, and closing projects. They work to ensure that projects are completed on time, within budget, and to the required quality standards. This course may be useful for Project Managers who want to learn how to use Python for project management. By learning how to write Python scripts, you will be able to automate project management tasks, such as tracking progress, managing resources, and communicating with stakeholders.

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Technical Writer

A Technical Writer is responsible for creating and maintaining technical documentation. They work to ensure that documentation is clear, concise, and accurate. This course may be useful for Technical Writers who want to learn how to use Python for technical writing. By learning how to write Python scripts, you will be able to automate documentation tasks, such as generating documentation from code, and creating interactive documentation.

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Quality Assurance Analyst

A Quality Assurance Analyst is responsible for testing software to ensure that it meets quality standards. They work to identify and fix bugs, and to ensure that software is reliable and user-friendly. This course may be useful for Quality Assurance Analysts who want to learn how to use Python for testing. By learning how to write Python scripts, you will be able to automate testing tasks, such as running tests, and generating test reports.

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IT Auditor

An IT Auditor is responsible for assessing the security and compliance of IT systems. They work to identify and mitigate risks, and to ensure that IT systems are compliant with regulations. This course may be useful for IT Auditors who want to learn how to use Python for IT auditing. By learning how to write Python scripts, you will be able to automate IT auditing tasks, such as scanning for vulnerabilities, and generating audit reports.

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Cybersecurity Analyst

A Cybersecurity Analyst is responsible for protecting computer systems and networks from cyber threats. They work to identify and mitigate vulnerabilities, and to respond to security incidents. This course may be useful for Cybersecurity Analysts who want to learn how to use Python for cybersecurity. By learning how to write Python scripts, you will be able to automate cybersecurity tasks, such as scanning for malware, and generating security reports.

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