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    The Speedrun Python Unit Testing Course (Unittest, Mock)

    Posted By: ELK1nG
    The Speedrun Python Unit Testing Course (Unittest, Mock)

    The Speedrun Python Unit Testing Course (Unittest, Mock)
    Published 10/2024
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 329.23 MB | Duration: 1h 12m

    Let's make bug-free applications using tests!

    What you'll learn

    Write Unit Test Cases

    Run Test Cases

    Execution of test collections

    Develop Test Suites

    Use Unit Test Fixtures

    Mocking of functions and objects

    Organize test code

    Requirements

    Python Programming Fundamentals

    IDE Environment - Basic Familiarity

    Description

    In this course is that we're gonna learn how to test applications with python unittest framework.Unit Testing is the first level of software testing where the smallest testable parts of softwareare tested. This is used to validate that each software unit performs as designed.The unittest test framework is Python xUnit style framework. In this article, we will learn about unittest framework with the help of examples.You're gonna learn the basics concepts of applications testing such as:Individual unit of testingMake preparations and sharing test data by using test fixturesTest code organizationTest grouping using TestSuiteTest skippingExecution of test collectionsMocking of objects and functionsUsing mock decorators for objects patchingYou'll also learn how to use mock objects. Mocking Test is a technique or methodused in testing within the scope of software testing by replacing theoriginal object (dependent object) with a mock object. The mock object created can simulate the behavior of the dependent object thatis temporarily replaced. Testing in mock testing focuses on the unit being testedwithout involving or depending on other units by isolating the object to be tested.All source code for each video is available for download.

    Overview

    Section 1: Unit Testing in Python

    Lecture 1 Introduction

    Lecture 2 Writing Basic Tests with TestCase Class

    Lecture 3 Test preparations with Fixtures

    Lecture 4 Grouping tests by using subTest() method

    Lecture 5 Skipping tests

    Lecture 6 Test loading: loadTestsFromTestCase()

    Lecture 7 Test loading: loadTestsFromTestModule()

    Lecture 8 Test loading: loadTestsFromNames()

    Lecture 9 Test loading: discover(), run tests from code and from command line

    Section 2: Mocking in Unit Tests (unittest.mock)

    Lecture 10 Mock object

    Lecture 11 Using side effects in Mock objects

    Lecture 12 The patchers: patch() method

    Lecture 13 The patchers: Decorators

    Lecture 14 The patchers: patch.object() method

    Lecture 15 Helpers: create_autospec

    Lecture 16 Helpers: mock_open

    Lecture 17 Mocking of Web Requests (with web application example)

    Python Programmers,Python Automation Engineers