Python Unit Testing Fundamentals (using unittest pytest)

Python Unit Testing Fundamentals (using unittest & pytest), available at $59.99, has an average rating of 4.13, with 48 lectures, 1 quizzes, based on 99 reviews, and has 749 subscribers.

You will learn about Develop Unit Test Cases Develop Test Suites Run Test Cases Ignore & Skip Test Cases Developing Tests using unittest module Developing Tests using pytest module Generating Results in XML Format (pytest) Generating Results in HTML Format (pytest) This course is ideal for individuals who are DevOps Engineers or Cloud Engineers or Python Programmers or Python Automation Engineers It is particularly useful for DevOps Engineers or Cloud Engineers or Python Programmers or Python Automation Engineers.

Enroll now: Python Unit Testing Fundamentals (using unittest & pytest)

Summary

Title: Python Unit Testing Fundamentals (using unittest & pytest)

Price: $59.99

Average Rating: 4.13

Number of Lectures: 48

Number of Quizzes: 1

Number of Published Lectures: 47

Number of Published Quizzes: 1

Number of Curriculum Items: 49

Number of Published Curriculum Objects: 48

Original Price: $64.99

Quality Status: approved

Status: Live

What You Will Learn

Develop Unit Test Cases

Develop Test Suites

Run Test Cases

Ignore & Skip Test Cases

Developing Tests using unittest module

Developing Tests using pytest module

Generating Results in XML Format (pytest)

Generating Results in HTML Format (pytest)

Who Should Attend

DevOps Engineers

Cloud Engineers

Python Programmers

Python Automation Engineers

Target Audiences

DevOps Engineers

Cloud Engineers

Python Programmers

Python Automation Engineers

You might be wondering what this course is about? Well, this course is all about Unit Testing with Python and how it can help you become better at the art of programming. In other words, this course will teach you how to use Unit Testing to improve code quality and support future development. 

Unit tests should provide immediate value in terms of reduced debugging and better design, which is why it’s a skill that should be mastered by all python programmers, regardless of their career path. This course will show you how to write unit tests for your code in Python! The course is designed to be practical with hands-on examples you can use right away.

Good unit tests should provide immediate value in terms of reduced debugging and better design, and increase your confidence in the code.

A lot of people can learn to write unit tests with this course, regardless of their career path. To help you get started, you get a 30-day money back guarantee on your purchase

You will learn:

Understand the terms: Test Case, Test Suite, Test Runner, Unit Under Test and Test Fixture.

Write Unit Tests

Running Unit Tests

Writing Test Suite

Skipping and Ignoring Unit Tests

Setup and TearDown

Test Discovery

Handling Known Errors

Best Practices

Course Curriculum

Chapter 1: Unit Testing in Python

Lecture 1: About This Course

Chapter 2: Course 1 > Start : Python Unit Testing with unittest

Lecture 1: Course Resources

Lecture 2: Course Overview

Lecture 3: Recommendations and Requirements

Lecture 4: Why Unit Testing?

Chapter 3: Unit Testing Fundamentals

Lecture 1: What is Unit Testing?

Lecture 2: Unit Testing Frameworks

Lecture 3: Terminology

Lecture 4: My First Unit Test Case

Lecture 5: Unit Tests for a class

Lecture 6: Running Test Cases

Lecture 7: unittest Documentation

Lecture 8: Unit Test Cases – Revisit

Lecture 9: Skipping and Ignoring Unit Test Cases

Lecture 10: Text Fixture – Setup & Tear Down

Lecture 11: Developing Test Suites

Lecture 12: Test Discovery

Lecture 13: Handling Known Errors

Chapter 4: Best Practices

Lecture 1: Best Practices – Part 1 (Discussion)

Lecture 2: Best Practices – Part 2 (Hands-on Demo)

Chapter 5: Quiz

Chapter 6: Course 1: Conclusion (Unit Testing with unittest module)

Lecture 1: Congrats

Chapter 7: Course 2 > Start : Python Unit Testing with pytest

Lecture 1: Course Resources

Lecture 2: Course Overview

Chapter 8: Unit Testing with pytest

Lecture 1: Module Overview

Lecture 2: pytest installation in Pycharm

Lecture 3: pytest Documentation

Lecture 4: My First Unit Test with pytest

Lecture 5: Sample Code (Apps) Review

Lecture 6: Writing Basic Tests (Employee Module)

Lecture 7: Assertions

Lecture 8: Test Identification

Lecture 9: Skipping Tests

Lecture 10: Parameterize

Lecture 11: Test Fixture

Lecture 12: Categorizing Tests

Chapter 9: Running Tests

Lecture 1: Module Overview

Lecture 2: Running Tests using PyCharm Interface

Lecture 3: Running Tests in Terminal

Lecture 4: Running a Subset

Lecture 5: Stop Test Execution after N Test Failures (MaxFail)

Lecture 6: Durations

Lecture 7: Parallel Execution

Chapter 10: Reporting

Lecture 1: Module Overview

Lecture 2: Generating results in XML format

Lecture 3: Generating results in HTML format

Chapter 11: Course 2: Conclusion (Unit Testing with Pytest)

Lecture 1: Congrats

Chapter 12: Conclusion & Bonus

Lecture 1: Bonus

Instructors

Coding Gears | Train Your Brain
Technology Architect

Rating Distribution

1 stars: 3 votes

2 stars: 5 votes

3 stars: 11 votes

4 stars: 35 votes

5 stars: 45 votes

Frequently Asked Questions

How long do I have access to the course materials?

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

Can I take my courses with me wherever I go?

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!