In this course, we'll learn to write unit tests for python applications using Pytest framework. It's a small step toward becoming a better developer :)

pytest.tar.gz

Pytest Basic

Pytest Only

Pytest param

Pytest Cov

Pytest xdist

Pytest Coverage

Flask app

Pytest Basic-copy

Pytest debugger

selenium

test

Welcome to the pytest course! This course is designed to equip you with the knowledge and skills needed to effectively write and execute tests using pytest, a powerful testing framework for Python. Testing is crucial for software quality, and pytest is an essential tool in achieving that. 

Throughout the course, you’ll gain a solid foundation in pytest fundamentals and its core concepts, features, and capabilities. You’ll learn how to write and organize tests, use powerful assertions, manage fixtures, and leverage the extensive plugin ecosystem. Additionally, you’ll discover techniques for achieving high test coverage, writing effective test cases, and improving code quality.

By the end of the course, you’ll be able to write well-structured and effective tests using pytest, seamlessly integrate testing into your development workflow, and ensure high test coverage. This knowledge will not only make you a more proficient developer but also enhance your career prospects in the software development industry.

Mastering Unit Testing with Pytest

It measures the percentage of code lines executed during the test suite.

It measures the percentage of possible branches within the code that are covered by the tests.

It measures the number of test cases written for each code module.

It measures the combination of branch and line coverage achieved by the test suite.

Which statement accurately describes branch coverage?

Which statement accurately describes branch coverage?

By using conditional statements to control the execution flow

By defining the dependencies within each target using the prerequisites syntax

By using shell commands to manage the execution order

By defining the dependencies in a separate configuration file

In a Makefile, how can we handle dependencies between test targets?

In a Makefile, how can we handle dependencies between test targets?

By ensuring each test case focuses on testing a single functionality or behavior

By avoiding duplication in test cases and promoting code reuse

By separating concerns in test design to improve maintainability and readability

By designing test cases to be independent of each other

How can the single responsibility principle (SRP) be applied to test refactoring?

How can the single responsibility principle (SRP) be applied to test refactoring?

Simplified test environment setup and reproducibility

Improved test isolation and reduced interference from the host system

Efficient scaling and distribution of tests across multiple containers

What are the benefits of using Docker for running pytest tests?

What are the benefits of using Docker for running pytest tests?

Orchestrating and managing multi-container Docker applications

What is Docker Compose primarily used for?

What is Docker Compose primarily used for?

Test your grasp of the concepts we learned in this chapter.

Introduction

Pytest Framework

Advanced Unit Testing Techniques

Test-Driven Development with Flask

Different Types of Testing

Best Practices

Concluding Remarks

Appendix

Test the Endpoints of the Blog API Using Pytest

Quiz on Best Practices for Pytest and Unit Testing