In this course we will discuss how to integrate best practices of test-driven development into your programming workflow. We will start out by discussing how to refactor legacy codebases with the help of agile methodologies. Then, we will explore continuous integration and how to write automated tests in Python. Finally, we will work everything we've learned together to write code that contains error handlers, automated tests, and refactored functions.
Integrating Test-Driven Development into Your Workflow
Integrating Test-Driven Development into Your Workflow
This course is part of Test-Driven Development Specialization
Instructor: Doug Purcell
Sponsored by Coursera Learning Team
Gain insight into a topic and learn the fundamentals.
3.8
(12 reviews)
Intermediate level
Some related experience required
15 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
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Assessments
8 assignments
Taught in English
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This course is part of the Test-Driven Development Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
Legacy code is code written by others that’s inherited by a team or programmer. The issue working with legacy code is that it can often be difficult and time consuming to update and maintain. Learn some proven techniques on how to refactor your legacy code with the help of agile methodologies such as unit tests and test driven development.
What's included
4 videos1 reading2 assignments1 discussion prompt1 ungraded lab
Continuous integration (CI) is a pillar in modern software development. It’s the process in which a code base is rapidly developed during the course of the business day.
What's included
2 videos1 reading2 assignments1 discussion prompt1 ungraded lab
Continuous delivery is taking the steps to be able to have your software delivered at any time. It’s similar to continuous deployment with the distinction that it is manual as opposed to automated. In this section we’ll take a closer look at continuous delivery and how it intertwines with a related concept of continual deployment.
What's included
2 videos1 reading2 assignments1 discussion prompt1 ungraded lab
Exception handling is a way for coders to help make their code less vulnerable to errors. A proactive developer will consider invalid input that a user may enter into a program and process this error gracefully.
What's included
2 videos1 reading2 assignments1 discussion prompt1 ungraded lab
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3.8
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Reviewed on Apr 23, 2021
In general, this module is nice to know, but quizes is really boring and labs are too simple, therefore overall value is not very high.
Recommended if you're interested in Computer Science
LearnQuest
University of Leeds
Duke University
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