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План на курса
Въведение в Unit Testing с PyTest
Unit Testing с UnitTest срещу Unit Testing с PyTest
Писане на четливи и поддържаеми тестове
Използване на подигравки, фалшификати и заглушки
Използване на Hooks, Assert Rewriting и Plug-ins
Рационализиране на вашите тестове с приспособления и параметризирано тестване
Получаване на желаното тестово покритие
Генериране на Testable Documentation с Doctest
Интегриране на Python модулни тестове в среда за непрекъсната интеграция (CI).
Мащабиране на вашите Python модулни тестове
Използвайте Python, за да тествате приложения, различни от Python.
Обобщение и заключение
Изисквания
- Общо разбиране на автоматизираното тестване
Публика
- Софтуерни тестери
21 Hours
Oтзиви от потребители (9)
Всичко, страхотен треньор.
Michał Rawicki
Course - Unit Testing with Python
Machine Translated
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.
Thibault Marechal - Red Embedded Consulting Sp. z o.o.
Course - Unit Testing with Python
A lot of knowledge servred in easy to take way.
