Real World Python Test Automation with Pytest (Django app) (Updated 04/2021)

Video Tutorials, Courses

Real World Python Test Automation with Pytest (Django app) (Updated 04/2021)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 67 lectures (6h 53m) | Size: 5 GB

This is a MUST course for anyone who cares about testing.


Learn Pytest by building a full Django application with a Continuous Integration system, software testing best practices

Learn the ins and outs of Pytest

Build a real world Django web server

Build a continuous integration system

Testing Best Practices

Build high-perfog, reliable automated test suites

Allure Reporting

Slack messaging

Unit, Integration, E2E, performance tests

Mocking and Patching

Advanced knowledge of python - This is NOT a bner course

I teach the ins and outs of pytest while building a real world django application (including a continuous integration system in bitbucket).

In this course we will build a very simple django server, I will teach just enough django so that we will be able to build the application, and then focus on testing it.

We will together test the application from all angels - Unit tests, integration tests,API tests, end to end tests ,performance tests with (a total of over 40 tests)

You will end up with a complete CI system that integrates bitbucket cloud pipelines, slack messaging and allure reporting.

Every we will make a push, the CI system will run our tests and will notify us if the build passed/failed

In this course we go in depth and we will even implement together (from scratch) some of pytest's features so that we will know what happening under the hood when pytest is running our tests.

This is not an entry-level course, basic knowledge of python is needed

You will learn:

Pytest features (in depth)

Fixtures

Markers

Parametrize

Skip, xfail

Pytest.ini

Pytest-django

Pytest-cov

pytest-xdist

unittest library, mocks

Requests library

Django (just enough to build a web server)

Rest API

Models, Migrations

Views

Serializers

SQLite3 DB

Email backends

Continuous Integration (in depth)

Bitbucket pipelines

Bitbucket environment variables

Parallel steps

Docker

Slack messaging integration

Allure Reporting

Testing (In depth)

Unit tests

Mocking. Patching, Stubs

Integration tests

Performance tests

Testing environments

Python best practice

Virtual environments: pipenv

Pipfile

Type hinting

Black formatter

.env File

Developers who are interested in writing quality tests for their applications

Python Developers curious about Pytest

Anyone who wants to build or improve an automated testing framework

QA Eeers who wants to learn about pytest




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