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Aspen Olmsted
This course is the final course in a series that aims to prepare you for a role working as a programmer. In this course we will look at several automation concepts in DevOps with Python. Labs will allow the students to apply the material in the lectures in simple computer programs designed to re-enforce the material in the lesson.
Register for this course and see more details by visiting:
OpenCourser.com/course/w2a3wk/devops
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What's inside
Syllabus
Package Managers
In this module, we look at how we can install and utilize PIP to manage library packages.
Testing
In this module, we look at how to utilize Python for Testing. We will discuss automated and manual testing. We will discuss unit tests and integration testing. We will conclude with a look at writing unit tests.
Read more
Syllabus
Package Managers
In this module, we look at how we can install and utilize PIP to manage library packages.
Testing
In this module, we look at how to utilize Python for Testing. We will discuss automated and manual testing. We will discuss unit tests and integration testing. We will conclude with a look at writing unit tests.
Read more
Browser Automation
In this module, we extend our toolset of Python by looking at utilize Python to script the web browser. We look at the Python port of the puppeteer JavaScript headless library to Python in the library named pyppeteer.
Containers for Development
In this module, we look at containers. Containers allow developers to have a control environment to test and deploy their applications. We will specifically look at Docker and container automation with Python.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides hands-on labs and interactive materials to reinforce learning
Covers automation concepts in DevOps including package managers, testing, browser automation, and containers
Suitable for individuals preparing for a role as a programmer
Builds upon a series of previous courses, suggesting a comprehensive learning pathway
Save this course
Save DevOps and Build Automation with Python to your list so you can find it easily later:
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Reviews summary
Devops & build automation with python
According to students, this DevOps and Build Automation with Python course is best suited for individuals with a baseline knowledge of Python looking to review the language. Students found the practice assignments in the course helpful and learners commented that the course is very high level and lightweight. Other students pointed out that the topics covered are extremely on the surface with very basic examples and little exploration. Another concern raised by students is that the course has minimal to almost no practical experience. Overall, students reflect that this course is best for those seeking a light review of Python concepts.
Best for reviewing Python.
"This course is a really lightweight talk about Python. If you are trying to learning Python starting from zero, this is not your course, ij you just want to review something about Python, this is your course."
Helpful practice assignments.
"The good thing about this course is the practice assignments can be done within the Coursera website without needing to download/install/or access anything externally."
Insufficient hands-on experience.
"INstructions for coding assignments are minimal yet have very strict rules leaving the student to rely on solved videos."
"Extremely superficial, very few explanations and almost no practical experience."
Course covers basics but lacks depth.
"Topics covered are extremely on the surface with little exploration and even less hands on building."
"Very high level with very basic examples."
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 DevOps and Build Automation with Python with these
activities:
Review Python Basics
Show steps
Ensure a solid foundation by refreshing your knowledge of core Python concepts before diving into automation.
Browse courses on
Python Programming
Show steps
-
Review online tutorials or documentation on Python basics.
-
Revisit introductory Python exercises or practice problems.
-
Attend a Python refresher course or workshop (optional).
-
Work on small Python coding projects to reinforce your understanding.
-
Discuss Python concepts with peers or mentors (optional).
Attend a Python Automation Workshop
Show steps
Expand your knowledge and network by attending a workshop dedicated to Python automation, providing you with expert insights and practical demonstrations.
Show steps
-
Research and find a reputable Python automation workshop.
-
Register and attend the workshop.
-
Actively participate in the workshop sessions and ask questions.
-
Connect with other attendees and industry professionals.
-
Follow up with the workshop organizers or speakers for further learning resources (optional).
Join a Python Automation Study Group
Show steps
Enhance your understanding and stay motivated by collaborating with peers in a dedicated Python automation study group.
Show steps
-
Find or start a study group focused on Python automation.
-
Set regular meeting times and stick to the schedule.
-
Work together on automation projects or assignments.
-
Discuss automation techniques, best practices, and challenges.
-
Provide feedback and support to other group members.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Share Your Automation Knowledge
Show steps
Reinforce your understanding of automation concepts by guiding and assisting other students in their learning journey.
Browse courses on
Python
Show steps
-
Join or start a study group or online forum related to Python or DevOps.
-
Offer help and guidance to others who are struggling with automation topics.
-
Create or contribute to online tutorials or resources on Python automation.
-
Participate in code review sessions and provide feedback on others' projects (optional).
-
Give a presentation or workshop on automation topics (optional).
Test Your Test Automation Skills
Show steps
Practice writing and running test automation scripts to solidify your understanding of Python testing concepts and hone your skills.
Show steps
-
Create a sample Python application.
-
Identify test scenarios and write unit tests using Python's unittest framework.
-
Run the tests and analyze the results.
-
Debug and refine your tests to improve their accuracy and reliability.
-
Explore third-party Python testing libraries (optional).
Explore Pyppeteer in Depth
Show steps
Deepen your understanding of Python browser automation techniques by working through hands-on tutorials on the Pyppeteer library.
Browse courses on
Browser Automation
Show steps
-
Find a comprehensive Pyppeteer tutorial.
-
Follow the tutorial and experiment with the library's features.
-
Automate a specific web browsing task using Pyppeteer.
-
Debug and troubleshoot your automation scripts.
-
Explore advanced Pyppeteer techniques for complex web interactions (optional).
Build a Real-World Automation Project
Show steps
Apply your DevOps automation skills to a practical project, providing you with valuable hands-on experience and a portfolio piece.
Browse courses on
DevOps Automation
Show steps
-
Identify a real-world problem or task that can be automated.
-
Design and plan your automation solution.
-
Develop the automation scripts using Python and appropriate libraries.
-
Test and refine your scripts to ensure reliability.
-
Deploy and monitor your automation solution.
Review Python Basics
Show steps
Ensure a solid foundation by refreshing your knowledge of core Python concepts before diving into automation.
Browse courses on
Python Programming
Show steps
Show steps
Show steps
- Review online tutorials or documentation on Python basics.
- Revisit introductory Python exercises or practice problems.
- Attend a Python refresher course or workshop (optional).
- Work on small Python coding projects to reinforce your understanding.
- Discuss Python concepts with peers or mentors (optional).
Attend a Python Automation Workshop
Show steps
Expand your knowledge and network by attending a workshop dedicated to Python automation, providing you with expert insights and practical demonstrations.
Show steps
Show steps
Show steps
- Research and find a reputable Python automation workshop.
- Register and attend the workshop.
- Actively participate in the workshop sessions and ask questions.
- Connect with other attendees and industry professionals.
- Follow up with the workshop organizers or speakers for further learning resources (optional).
Join a Python Automation Study Group
Show steps
Enhance your understanding and stay motivated by collaborating with peers in a dedicated Python automation study group.
Show steps
Show steps
Show steps
- Find or start a study group focused on Python automation.
- Set regular meeting times and stick to the schedule.
- Work together on automation projects or assignments.
- Discuss automation techniques, best practices, and challenges.
- Provide feedback and support to other group members.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Share Your Automation Knowledge
Show steps
Reinforce your understanding of automation concepts by guiding and assisting other students in their learning journey.
Browse courses on
Python
Show steps
Show steps
Show steps
- Join or start a study group or online forum related to Python or DevOps.
- Offer help and guidance to others who are struggling with automation topics.
- Create or contribute to online tutorials or resources on Python automation.
- Participate in code review sessions and provide feedback on others' projects (optional).
- Give a presentation or workshop on automation topics (optional).
Test Your Test Automation Skills
Show steps
Practice writing and running test automation scripts to solidify your understanding of Python testing concepts and hone your skills.
Show steps
Show steps
Show steps
- Create a sample Python application.
- Identify test scenarios and write unit tests using Python's unittest framework.
- Run the tests and analyze the results.
- Debug and refine your tests to improve their accuracy and reliability.
- Explore third-party Python testing libraries (optional).
Explore Pyppeteer in Depth
Show steps
Deepen your understanding of Python browser automation techniques by working through hands-on tutorials on the Pyppeteer library.
Browse courses on
Browser Automation
Show steps
Show steps
Show steps
- Find a comprehensive Pyppeteer tutorial.
- Follow the tutorial and experiment with the library's features.
- Automate a specific web browsing task using Pyppeteer.
- Debug and troubleshoot your automation scripts.
- Explore advanced Pyppeteer techniques for complex web interactions (optional).
Build a Real-World Automation Project
Show steps
Apply your DevOps automation skills to a practical project, providing you with valuable hands-on experience and a portfolio piece.
Browse courses on
DevOps Automation
Show steps
Show steps
Show steps
- Identify a real-world problem or task that can be automated.
- Design and plan your automation solution.
- Develop the automation scripts using Python and appropriate libraries.
- Test and refine your scripts to ensure reliability.
- Deploy and monitor your automation solution.
Career center
Learners who complete DevOps and Build Automation with Python will develop knowledge and skills
that may be useful to these careers:
DevOps Engineer
DevOps Engineer
A DevOps Engineer combines software development (Dev) and IT operations (Ops) to improve the speed and quality of software delivery. This course can help build a foundation in DevOps and build automation with Python, which are essential skills for DevOps Engineers.
Cloud Engineer
Cloud Engineer
A Cloud Engineer designs, builds, and maintains cloud-based systems. This course can help build a foundation in DevOps and build automation with Python, which are valuable skills for Cloud Engineers.
Site Reliability Engineer
Site Reliability Engineer
A Site Reliability Engineer ensures that websites and online services are reliable and performant. This course can help build a foundation in DevOps and build automation with Python, which are valuable skills for Site Reliability Engineers.
Automation Engineer
Automation Engineer
An Automation Engineer designs, develops, and maintains automated systems. This course can help build foundational knowledge in DevOps and build automation with Python, which are valuable skills for Automation Engineers.
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines. This course can help build a foundation in DevOps and build automation with Python, which are valuable skills for Data Engineers.
Software Developer
Software Developer
A Software Developer designs, develops, tests, and maintains software applications. This course can help build a foundation in DevOps and build automation with Python, which are valuable skills for Software Developers.
Project Manager
Project Manager
A Project Manager plans, executes, and closes projects. This course may be helpful in building a foundation in DevOps and build automation with Python, which can be valuable for Project Managers.
Quality Assurance Analyst
Quality Assurance Analyst
A Quality Assurance Analyst tests software to ensure that it meets requirements and is free of defects. This course can help build a foundation in testing with Python, which is valuable for Quality Assurance Analysts.
Systems Analyst
Systems Analyst
A Systems Analyst analyzes and designs computer systems. This course may be helpful in building a foundation in DevOps and build automation with Python, which can be valuable for Systems Analysts.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. This course may be helpful in building a foundation in DevOps and build automation with Python, which can be valuable for Database Administrators.
IT Manager
IT Manager
An IT Manager manages and oversees the IT department of an organization. This course may be helpful in building a foundation in DevOps and build automation with Python, which can be valuable for IT Managers.
Network Administrator
Network Administrator
A Network Administrator helps maintain, install, and troubleshoot networks. They ensure that the network is running correctly and that data is transmitted securely. This course can help build a foundation in network automation with Python, which can be valuable for Network Administrators.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and systems to identify areas for improvement. This course may be helpful in building a foundation in DevOps and build automation with Python, which can be valuable for Business Analysts.
UX Designer
UX Designer
A UX Designer designs the user experience of websites and apps. This course may be helpful in building a foundation in DevOps and build automation with Python, which can be valuable for UX Designers.
Technical Writer
Technical Writer
A Technical Writer creates and maintains technical documentation. This course may be helpful in building a foundation in DevOps and build automation with Python, which can be valuable for Technical Writers.
For more career information including salaries, visit:
OpenCourser.com/course/w2a3wk/devops
Reading list
We've selected ten 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
DevOps and Build Automation with Python.
Introduces Python in a fun and engaging way. It covers topics such as data types, variables, functions, and object-oriented programming. This book would be a good choice for students who are new to Python.
Introduces Python in a quick and easy way. It covers topics such as data types, variables, functions, and object-oriented programming. This book would be a good choice for students who want to learn Python quickly.
Shows how to use Python to automate tasks such as sending emails, downloading files, and scraping websites. This book would be a useful reference for students who want to learn more about Python automation.
Classic guide to software development. It covers topics such as design principles, coding practices, and testing. This book would be a useful reference for students who want to learn more about software development.
Save
Guide to writing clean and maintainable code. It covers topics such as naming conventions, coding style, and refactoring. This book would be a useful reference for students who want to learn more about writing clean code.
Guide to unit testing. It covers topics such as test design, test automation, and test refactoring. This book would be a useful reference for students who want to learn more about unit testing.
Guide to site reliability engineering. It covers topics such as capacity planning, performance monitoring, and incident response. This book would be a useful reference for students who want to learn more about site reliability engineering.
Save
Guide to DevOps. It covers topics such as cultural change, process improvement, and toolchain integration. This book would be a useful reference for students who want to learn more about DevOps.
Save
Novel about a DevOps transformation. It tells the story of a team that is struggling to meet its delivery deadlines. This book would be a good read for students who want to learn more about DevOps from a practical perspective.
Guide to continuous delivery with Jenkins. It covers topics such as setting up a Jenkins server, creating pipelines, and deploying applications. This book would be a useful reference for students who want to learn more about continuous delivery with Jenkins.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/w2a3wk/devops
Share
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Effort
4 weeks of 6-8 hours/week
Level
Introductory
Via
Coursera
Institution
LearnQuest
Instructor
Aspen Olmsted
Language
English
Transcripts
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This course belongs to a
collection
called
Python Scripting for DevOps. It's comprised of four courses:
- Python Scripting: Dates, Classes and Collections
- Introduction to Python Scripting for DevOps
- DevOps and Build Automation with Python (viewing)
- Python Scripting: Files, Inheritance, and Databases
Good to know
Provides hands-on labs and interactive materials to reinforce learning
Covers automation concepts in DevOps including package managers, testing, browser automation, and containers
Suitable for individuals preparing for a role as a programmer
Builds upon a series of previous courses, suggesting a comprehensive learning pathway
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