Hands-On Test Driven Development with Python

Hands-On Test Driven Development with Python, available at $34.99, has an average rating of 4.1, with 26 lectures, based on 135 reviews, and has 731 subscribers.

You will learn about 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 This course is ideal for individuals who are 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. It is particularly useful 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.

Enroll now: Hands-On Test Driven Development with Python

Summary

Title: Hands-On Test Driven Development with Python

Price: $34.99

Average Rating: 4.1

Number of Lectures: 26

Number of Published Lectures: 26

Number of Curriculum Items: 26

Number of Published Curriculum Objects: 26

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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.

Target Audiences

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.

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.

Course Curriculum

Chapter 1: Overview and Setting Up Your Development Environment

Lecture 1: The Course Overview

Lecture 2: Overview of Unit Testing and TDD Practices and How They Help You Write Better C

Lecture 3: Simple Unit Testing and TDD Coding Session

Lecture 4: Creating Python Virtual Environments to Help Manage Your Python Projects

Lecture 5: Setting Up PyTest in PyCharm

Lecture 6: Setting Up PyTest in Eclipse

Chapter 2: PyTest Framework Supporting Functional Testing

Lecture 1: Introduction of PyTest Framework

Lecture 2: Test Discovery Function

Lecture 3: XUnit Style Setup and Teardown

Lecture 4: Test Fixtures Environment

Lecture 5: Assert Statements and Exceptions

Lecture 6: PyTest Command Line Arguments

Chapter 3: Hands-On Example – Implementing a Checkout Cart with TDD

Lecture 1: Setting Up a Checkout Cart and the 1st Test Case

Lecture 2: Add Items, Add Item Prices, and Calculate the Total

Lecture 3: Add Multiple Items and Calculate Total

Lecture 4: Add and Apply Discounts

Lecture 5: Throw Exception When Adding an Item with No Price

Chapter 4: Creating an Isolated Test Environment with Test Doubles

Lecture 1: Test Doubles and the unittest.mock Framework

Lecture 2: Unittest.mock – Mocking the File System Examples

Lecture 3: Unittest.mock – Mocking an Abstract Interface

Lecture 4: Unittest.mock – Mocking a Network Connection

Lecture 5: Adding Code to Checkout Cart to Read Prices from a File

Chapter 5: Unit Testing and TDD Best Practices

Lecture 1: Unit Testing and TDD Best Practices

Lecture 2: Hands On Example of Applying Best Practices

Lecture 3: Overview of Code Coverage and PyTest.cov

Lecture 4: PyTest.cov Hands On Example with Simple Test Cases

Instructors

Packt Publishing
Tech Knowledge in Motion

Rating Distribution

1 stars: 4 votes
2 stars: 9 votes
3 stars: 26 votes
4 stars: 41 votes
5 stars: 54 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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