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⇱ Introduction to Python for DevOps | Coursera

Introduction to Python for DevOps

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Introduction to Python for DevOps

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

9 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

9 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand the role of Python in modern DevOps workflows and automation.

  • Master core Python concepts, including variables, data structures, and functions.

  • Manage Python environments, versions, and virtual environments effectively.

  • Automate DevOps tasks using Python scripting and object-oriented programming.

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Recently updated!

May 2026

Assessments

5 assignments

Taught in English

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This course is part of the Python for DevOps: The Ultimate Hands-On Guide Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 4 modules in this course

This course features Coursera Coach!

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you'll gain a solid foundation in Python for DevOps automation and scripting. You will explore the essential concepts of Python programming, including variables, data structures, conditional logic, loops, functions, and object-oriented programming, all tailored to DevOps tasks. By focusing on practical applications and real-world scenarios, you will acquire the skills needed to enhance DevOps workflows, automate system tasks, and improve project efficiency. The journey begins with setting up the Python environment on your system, learning the best practices for Python configuration, and managing different Python versions using pyenv and virtual environments. As you progress, you'll gain hands-on experience using tools like JupyterLab and Python REPL for interactive coding. The course covers working with core Python concepts such as lists, dictionaries, sets, and tuples, along with essential techniques for data manipulation and automation tasks commonly used in DevOps. Through the comprehensive curriculum, you'll build a strong understanding of the Python programming language, honing the skills necessary to automate processes and solve problems effectively in a DevOps environment. You'll also gain a deep understanding of Python functions, advanced comprehension techniques, and object-oriented programming, all of which are indispensable in DevOps automation workflows. This course is ideal for those aiming to integrate Python into their DevOps career. Whether you are a beginner or someone looking to enhance your skills, you'll find the content engaging and accessible. No prior Python experience is required. The difficulty level is beginner-friendly, and by the end of the course, you will be able to automate DevOps processes, manage Python environments, and develop Python-based solutions for system tasks. By the end of the course, you will be able to set up Python environments for DevOps tasks, write and execute Python scripts, master core programming concepts, and apply object-oriented principles for real-world DevOps solutions.

In this module, we will introduce you to the course and the journey ahead, outlining the key topics and milestones. We will also share strategies to maximize your learning experience and set clear expectations for the course's objectives and structure.

What's included

3 videos2 readings

3 videos•Total 12 minutes
  • Welcome and Course Overview•6 minutes
  • Maximizing Your Learning Experience•2 minutes
  • Setting Expectations for Our Journey•4 minutes
2 readings•Total 20 minutes
  • Introduction to the Course 'Introduction to Python for DevOps'•10 minutes
  • Full Specialization Resources•10 minutes

In this module, we will guide you through setting up your Python environment for DevOps tasks. You will learn how to install Python, manage versions with pyenv, and create virtual environments to ensure isolated and efficient workflows for automation and system integration.

What's included

10 videos1 assignment

10 videos•Total 40 minutes
  • Section Introduction•1 minute
  • The Role of Python in Modern DevOps•2 minutes
  • Python Installation and Configuration Guide•4 minutes
  • Using pyenv to Manage Python Versions•3 minutes
  • Understanding Python Virtual Environments•5 minutes
  • Your First Steps with Virtual Environments•3 minutes
  • Strategies for Managing Multiple Virtual Environments•7 minutes
  • Exploring the Python REPL (Read-Eval-Print Loop)•6 minutes
  • From Script to Execution: Running Python Files•2 minutes
  • Interactive Coding with JupyterLab•8 minutes
1 assignment•Total 15 minutes
  • Python Environment Setup - Assessment•15 minutes

In this module, we will dive deep into essential Python concepts, including variables, functions, loops, and data structures. You will gain practical skills in applying these concepts for efficient DevOps automation and scripting tasks.

What's included

41 videos1 assignment

41 videos•Total 232 minutes
  • Section Introduction•1 minute
  • Working with Variables•5 minutes
  • The Importance of Code Comments•3 minutes
  • Handling Numerical Data•8 minutes
  • Manipulating Strings•13 minutes
  • Practical Application: Calculating Disk Usage•4 minutes
  • Getting Started with Lists•7 minutes
  • Techniques for Modifying Lists•10 minutes
  • Practical Exercises with Lists•2 minutes
  • Understanding Tuples•6 minutes
  • An Introduction to Sets•6 minutes
  • Performing Set Operations•6 minutes
  • Practical Exercises with Sets•5 minutes
  • Comparing Lists, Tuples, and Sets•3 minutes
  • Getting Started with Dictionaries•12 minutes
  • Performing Dictionary Operations•6 minutes
  • Practical Exercises with Dictionaries•6 minutes
  • Fundamentals of Conditional Logic•3 minutes
  • Using If, Elif, and Else•9 minutes
  • Implementing Guard Clauses for Cleaner Code•5 minutes
  • Mastering For and While Loops•7 minutes
  • Controlling Loops with Break and Continue•4 minutes
  • An Introduction to List Comprehension•4 minutes
  • Advanced Comprehensions: Lists, Sets, Dictionaries•8 minutes
  • Fundamentals of Python Functions•2 minutes
  • Creating and Returning Values from Functions•5 minutes
  • Understanding Parameters and Arguments•8 minutes
  • Writing Effective Docstrings•4 minutes
  • Practical Exercises with Functions•8 minutes
  • Generating Sequences with the Range Function•8 minutes
  • Iterating with Enumerate and ZIP•7 minutes
  • Fundamentals of Object-Oriented Programming•6 minutes
  • Defining and Using Class Methods•5 minutes
  • Implementing Inheritance•8 minutes
  • Understanding *args and **kwargs•6 minutes
  • Argument Order with *args and **kwargs•9 minutes
  • Using *args and **kwargs in Function Calls•6 minutes
  • An Introduction to Lambda Functions•2 minutes
  • Using Lambda for Sorting Collections•3 minutes
  • Using Lambda for Transforming Collections•3 minutes
  • Using Lambda for Filtering Collections•2 minutes
1 assignment•Total 15 minutes
  • Mastering Core Python Concepts - Assessment•15 minutes

In this module, we will explore advanced Python topics, including generators for efficient data processing and decorators for modifying function behaviors. You will learn to apply these techniques to streamline and optimize your DevOps automation processes.

What's included

20 videos1 reading3 assignments

20 videos•Total 117 minutes
  • Section Introduction•2 minutes
  • Understanding the Iteration Protocol•5 minutes
  • Iterators and Iterables in Practice•9 minutes
  • The Basics of Generator Syntax•6 minutes
  • Harnessing the Power of the yield Statement•5 minutes
  • Controlling Generator Execution: Pause and Resume•4 minutes
  • Managing State within Generators•6 minutes
  • Understanding Generator Exhaustion•2 minutes
  • Comparing return and yield•5 minutes
  • Practical Exercises with Generators•8 minutes
  • Creating Efficient Data Pipelines•19 minutes
  • Exploring Functions as First-Class Citizens•7 minutes
  • Implementing Factory Functions•3 minutes
  • Using Functions within Data Structures•3 minutes
  • An Introduction to Decorators•7 minutes
  • Passing Arguments to Decorators•9 minutes
  • Managing Return Values in Decorators•4 minutes
  • Exception Handling within Decorators•3 minutes
  • Preserving Function Metadata with functools.wraps•5 minutes
  • Applying Multiple Decorators•6 minutes
1 reading•Total 10 minutes
  • Conclusion to the Course 'Introduction to Python for DevOps'•10 minutes
3 assignments•Total 90 minutes
  • Advanced Python: Generators and Decorators - Assessment•15 minutes
  • Full Course Assessment•60 minutes
  • Full Course Practice Assessment•15 minutes

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Frequently asked questions

Python for DevOps is the application of the Python programming language to automate, streamline, and optimize tasks commonly found in DevOps environments. It's relevant because Python is a versatile and powerful language that allows DevOps professionals to manage infrastructure, automate workflows, and integrate various tools seamlessly, helping improve efficiency and reliability in software development and operations.

This course, Introduction to Python for DevOps, is designed to introduce Python programming within the context of DevOps. The course covers everything from setting up your Python environment and understanding core Python concepts to more advanced topics like working with generators and decorators. Through hands-on exercises, students will learn how to write Python scripts to automate common DevOps tasks and integrate Python with modern DevOps workflows.

After completing this course, you will have gained a solid understanding of Python and its application in DevOps. You’ll be able to set up a Python environment for DevOps tasks, write and execute Python scripts to automate processes, handle data, work with system files, and use advanced Python features like generators and decorators. You will be able to leverage Python to improve the automation and integration aspects of your DevOps workflows.

This course assumes no prior knowledge of Python or DevOps. However, familiarity with basic computer programming concepts, such as variables and functions, can be helpful. If you are new to programming, don't worry; the course starts with foundational concepts and gradually builds up to more advanced topics, ensuring a smooth learning experience.

This course is ideal for individuals who are interested in using Python to enhance their DevOps practices. It's perfect for DevOps engineers, system administrators, and software developers looking to expand their skills and incorporate Python into their automation and DevOps tasks. Whether you're new to Python or want to deepen your knowledge, this course is suited for both beginners and those with some programming experience.

The course is designed to be completed in approximately 10 hours. This includes the time for watching instructional videos, performing hands-on exercises, and reviewing the materials. The exact time may vary depending on your prior experience with programming and your pace of learning.

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

This course is currently available only to learners who have paid or received financial aid, when available.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,