Pytest Master Class

Learn to master testing in Python with Pytest from Five Time O'Reilly Author and AWS ML Hero Noah Gift

Pytest is a testing framework for Python that allows you to write tests in a readable and concise way. This close to three-hour course will teach you how to write tests in Python using Pytest as well as master CI/CD with Pytest. Take your testing and DevOps skills to the next level with this full-course Pytest Master Class.

Topics Covered Include:

• 00:00 Introduction
• 03:38 What is DevOps?
• 05:32 Github CodeSpaces
• 09:45 Create Python Project Structure: Makefile, requirements.txt, test file and virtualenv
• 16:33 Importing code with IPython
• 17:32 Writing tests with Pytest
• 21:58 Using Pylint
• 23:56 Verifying Pylint bad syntax catch
• 25:41 Formatting code with Black
• 26:38 Pinning requirements to a specific version
• 30:00 Setup Github Actions
• 37:38 Matrix Testing multiple versions of a Python 3.6, 3.7, 3.8, 3.9 with Github Actions
• 50:00 Using AWS CloudShell
• 53:00 Using AWS Cloud9
• 54:07 Adding virtualenv to ~/.bashrc
• 57:24 Using AWS CodeBuild
• 01:17:01 Testing Google Colab Notebooks and Jupyter Notebooks with nbval and Pytest
• 01:29:39 Using pdb;pdb.set_trace() and ipdb;ipdb.set_trace()
• 01:35:53 Using pytest-cov
• 01:37:47 Using pytest with --pdb pdb debbuging during tests
• 01:38:12 Using pytest with --pdb --maxfailures 1 to stop after first failure
• 01:42:20 Using pytest to test a single test
• 01:49:25 Using Pytest with fixtures
• 01:56:23 Using Pytest setup_function and teardown_function to setup and teardown of tests
• 02:00:00 Using flask web framework
• 02:04:25 Testing flask web framework with pytest
• 02:10:46 Extending flask with a greedy coin change machine
• 02:21:27 Using click to create a command line interface
• 02:30:39 Using Pytest to test click command line interfaces
• 02:44:42 Matrix testing entire project with click, pytest, and nbval using Github Actions and multiple versions of Python 3.6, 3.7, 3.8, 3.9

This course covers the following learning objectives:

• Learn to master Pytest.
• Learn to setup CI/CD pipelines with Pytest, Pylint, Python Black Formatting, Github Actions and AWS CodeBuild.
• Learn to use Cloud-based development environments with Pytest like Githhub CodeSpaces, AWS Cloud9 and AWS CloudShell
• Learn to create local test environments with Pytest and Virtualenv
• Learn to use advanced functions like Pytest test selection, pdb (python debugger) and fixtures.
• Learn to build a realistic problem including libraries, building command-line tools with Click and web frameworks with Flask.

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