Unit Testing with Python Training Course

Unit Testing is a testing approach that tests individual units of source code by modifying their properties or triggering an event to confirm whether the outcome is as expected. PyTest is a full-featured, API-independent, flexible, and extensible testing framework with an advanced, full-bodied fixture model.

In this instructor-led, live training, participants will learn how to use PyTest to write short, maintainable tests that are elegant, expressive and readable.

By the end of this training, participants will be able to:

Write readable and maintainable tests without the need for boilerplate code.
Use the fixture model to write small tests.
Scale tests up to complex functional testing for applications, packages, and libraries.
Understand and apply PyTest features such as hooks, assert rewriting and plug-ins.
Reduce test times by running tests in parallel and across multiple processors.
Run tests in a continuous integration environment, together with other utilities such as tox, mock, coverage, unittest, doctest and Selenium.
Use Python to test non-Python applications.

Format of the course

Part lecture, part discussion, exercises and heavy hands-on practice

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Course Outline

Introduction to Unit Testing with PyTest

Unit Testing with UnitTest vs Unit Testing with PyTest

Writing Readable and Maintainable Tests

Using Mocks, Fakes and Stubs

Using Hooks, Assert Rewriting and Plug-ins

Streamlining Your Tests with Fixtures and Parameterized Testing

Obtaining the Desired Test Coverage

Generating Testable Documentation with Doctest

Integrating Python Unit Tests into a Continuous Integration (CI) Environment

Scaling Your Python Unit Tests

Use Python to Test Non-Python Applications

Summary and Conclusion

Requirements

A general understanding of automation testing

Audience

Software testers

21 Hours

Delivery Options

Private Group Training

Our identity is rooted in delivering exactly what our clients need.

Pre-course call with your trainer
Customisation of the learning experience to achieve your goals -

Bespoke outlines
Practical hands-on exercises containing data / scenarios recognisable to the learners

Training scheduled on a date of your choice
Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from £5700 online delivery, based on a group of 2 delegates, £1800 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

Public Training

Please see our public courses

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Testimonials (7)

Expertise of the trainer, even if we asked very precise questions about specific topic, he was able to provide really meaningful and valuable for us questions. He has designed agenda of the training according to our needs and requests.

Filip - Orange Szkolenia Sp. z o.o.

Course - Unit Testing with Python

I loved summaries

Martyna - Orange Szkolenia Sp. z o.o.

Course - Unit Testing with Python

Materials Trainer

Zakar Abid - TII

Course - Unit Testing with Python

Did hands on exercise. Walked through the code. Explained everything very well

Steve Thomas - TII

Course - Unit Testing with Python

No rushing things, though a bit too slow sometimes. Checking excercises with group and comparing solutions

Piotr - ArcelorMittal Business Center of Excellence Poland Sp. z o.o. Sp. k.

Course - Unit Testing with Python

The trainer is interactive with the audience. He is able to reply the questions easily and gives the accurate examples and illustrations in real life. The theoritical and practical rythm are smooth. The exercices give the user a better experience to think and structure his/ her way of testing and developping. Numpy and Pandas may be useful in order to better exploit data, such as performance results, statistics, image treatement, calculating the correlation for biological set images. The Django framework would be helpful for building web API. All this knowledge is an asset. However, I am not sure this would be fruitful for other contexts, since we need unit and Integration tests of Java apps in Python.

Soumaya ELALOUANI - Telemis

Course - Unit Testing with Python

That we started from a simple implementation, adding functionalities/features until we need to update the design to keep having a maintainable software. Definitely real life job problems I see value in this. Also liked the use of VideoUpload project as we can relate to this working in Consult Red. Very open to questions, driving the class in a way asked by the audience.