Integrating Test-Driven Development into Your Workflow (Coursera)

Integrating Test-Driven Development into Your Workflow (Coursera)
Course Auditing
Categories
Effort
Certification
Languages
Misc

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Integrating Test-Driven Development into Your Workflow (Coursera)
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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Course 3 of 4 in the Test-Driven Development Specialization


Syllabus


WEEK 1

Refactoring Legacy Code

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.


WEEK 2

Continuous Integration in Action

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.


WEEK 3

The Art of Continuous Delivery and Deployment

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.


WEEK 4

Exception Handling in Python

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.



0
No votes yet

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Course Auditing
40.00 EUR/month

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.