Hands-On Test Driven Development with Python

Name: Hands-On Test Driven Development with Python
Rating: 4.0 (139 reviews)

Apply the practices of Test-Driven Development using the PyTest framework to easily create your unit tests

Created byPackt Publishing

Last updated 6/2018

English

What you'll learn

Know how to write better Python code faster using the disciplines of Unit Testing and TDD
Use code coverage tools to ensure your unit tests are thoroughly testing all of your production code
See the application of Unit Testing and TDD using the PyTest unit testing framework to create your unit tests
Set up several popular Python IDEs to run PyTest unit tests and visually show the results in the IDE
Get to know the best practices for Unit Testing and TDD and how to apply them
Apply an Isolated Test Environment using the unittest mock library to test your production code in isolation
Create Python virtual environments to create isolated Python development environments for each of your projects

Course content

5 sections • 26 lectures • 2h 18m total length

The Course Overview2:16
This video will give you an overview about the course.
Overview of Unit Testing and TDD Practices and How They Help You Write Better C7:40
This video provides an overview Unit Testing and Test Driven Development.
Simple Unit Testing and TDD Coding Session10:17
In this video, we walk through a simple coding session using Unit TDD.
Creating Python Virtual Environments to Help Manage Your Python Projects5:48
In this video, we will learn what python virtual environments are, learn how they help you manage your python projects, and look at some examples.
Setting Up PyTest in PyCharm3:24
In this video, we will walk through setting up PyTest in the PyCharm Python IDE.
Setting Up PyTest in Eclipse3:59
In this video, we will walk through setting up PyTest in the Eclipse IDE.

Introduction of PyTest Framework2:15
This video will provide an introduction to the PyTest Unit Testing Framework.
Test Discovery Function2:17
In this video, we will go over how PyTest automatically discovers unit tests and review some examples.
XUnit Style Setup and Teardown4:43
In this video, we will learn about PyTest’s implementation of the XUnit style of setup and teardown code and go over a few examples.
Test Fixtures Environment8:22
In this video, we will learn about what PyTest Test Fixtures are and go over a few examples.
Assert Statements and Exceptions3:24
In this video, we will learn about how the Python assert statement is used in your PyTest Unit Tests, how to test exceptions, and go over some examples.
PyTest Command Line Arguments4:07
In this video, we will learn about some useful PyTest command line arguments and go over some examples.

Setting Up a Checkout Cart and the 1st Test Case4:11
In this video, we will introduce the Checkout Cart Kata that we’ll be working through in this section and implement the first test case.
Add Items, Add Item Prices, and Calculate the Total6:00
In this video, we will be implementing the next three test cases in the Checkout Cart Kata: adding items, adding item prices, and calculating the total.
Add Multiple Items and Calculate Total3:44
In this video, we will implement the next test case of the Checkout Cart Kata: Adding multiple items and calculating the correct total.
Add and Apply Discounts13:42
In this video, we will implement the next test case in the Checkout Cart Kata: Adding and applying discounts.
Throw Exception When Adding an Item with No Price2:33
In this video, we will implement the last test case in the Checkout Cart Kata: Throwing an exception when adding an item with no price.

Test Doubles and the unittest.mock Framework7:10
In this video, we go over what test doubles are and how they help you test your production code in isolation. Then we’ll go over how to use the unittest.mock mocking framework and the PyTest monkeypatch TestFixture for easily implementing test doubles in your tests.
Unittest.mock - Mocking the File System Examples11:45
In this video, we will walk through some simple examples of mocking out calls to the filesystem.
Unittest.mock - Mocking an Abstract Interface5:18
In this video, we will walk through a simple example of using mocks to instantiate an abstract interface in unit tests.
Unittest.mock - Mocking a Network Connection5:15
In this video, we will walk through a simple example of mocking out network connection calls so those network connections aren't actually required in your test environment.
Adding Code to Checkout Cart to Read Prices from a File7:33
In this video, we will update the Checkout class to have a function to read in item prices from a file and we’ll mock out the file system calls in our unit test.

Unit Testing and TDD Best Practices3:33
In this video, we will go over some Unit Testing and TDD Best Practices that I've found to be essential to making sure TDD is as helpful an productive as possible.
Hands On Example of Applying Best Practices3:04
In this video, we will walk through some examples of the best practices in action.
Overview of Code Coverage and PyTest.cov2:16
In this video, we will learn more about the different types of code coverage and the PyTest.cov code coverage tool.
PyTest.cov Hands On Example with Simple Test Cases3:30
In this video, we will walk through a simple hands on example of using PyTest.cov to generate a code coverage report.

Requirements

Basic knowledge of Python programming (version 2.7 or 3) is expected.

Description

Do you want to be one of the core developers at your company—the person that everyone wants on their team, and who can deliver new features that work on time? Unit Testing and Test-Driven Development (TDD) are key disciplines that can help you achieve that goal.

In this video tutorial, you’ll learn about the PyTest testing library and how it’s used to write unit tests in Python. You’ll also set up some common Python development environments to use PyTest. You’ll create isolated test environments with Test Doubles and learn how to implement and use them with unittest.mock. Moving on, you’ll get to know some of the best practices in Unit Testing and TDD and get some hands-on experience with programming by implementing unit tests using TDD in Python.

By the end of this course, you’ll be able to apply the practices of Unit Testing and TDD on a daily basis to radically increase the quality of your code and help you and your company achieve your goals faster than ever before.

About The Author

Richard Wells is a software engineer with over twenty years of experience. He has contributed immensely towards writing codes in Assembly, C, C++, Java, C#, Javascript, and Python. He is also well-informed with the entire software development lifecycle. He has written system requirements, software requirements, use cases, and user stories. He has worked on several difficult projects with tight deadlines and high expectations for quality and because of that, he is an avid practitioner of Agile, Scrum, and Extreme Programming disciplines. He is very much passionate about the process of writing quality software fast.

Who this course is for:

This course is for software developers who write code using Python. If you love Python and are passionate about writing high-quality code, then this course is for you.

Hands-On Test Driven Development with Python

What you'll learn

Explore related topics

Course content

Overview and Setting Up Your Development Environment6 lectures • 33min

PyTest Framework Supporting Functional Testing6 lectures • 25min

Hands-On Example - Implementing a Checkout Cart with TDD5 lectures • 30min

Creating an Isolated Test Environment with Test Doubles5 lectures • 37min

Unit Testing and TDD Best Practices4 lectures • 12min

Requirements

Description

Who this course is for: