Plan Szkolenia
Wprowadzenie do Unit Testing za pomocą PyTest
Unit Testing z UnitTest vs Unit Testing z PyTest
Pisanie czytelnych i łatwych w utrzymaniu testów
Używanie prób, podróbek i skrótów
Używanie hooków, przepisywanie Assert i wtyczki
Usprawnianie testów dzięki urządzeniom i testowaniu parametrycznym
Uzyskanie pożądanego zasięgu testu
Generowanie testowalnego Documentation za pomocą Doctest
Integracja Python testów jednostkowych ze środowiskiem ciągłej integracji (CI).
Skalowanie Python testów jednostkowych
Użyj Python, aby przetestować aplikacje inne niż Python.
Podsumowanie i wnioski
Wymagania
- Ogólne zrozumienie testowania automatyzacji
Publiczność
- Testerzy oprogramowania
Opinie uczestników (7)
Wszystko, super trener.
Michał Rawicki
Szkolenie - Unit Testing with Python
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.
Szkolenie - Unit Testing with Python
I loved summaries
Martyna - Orange Szkolenia Sp. z o.o.
Szkolenie - Unit Testing with Python
Materials Trainer
Zakar Abid - TII
Szkolenie - Unit Testing with Python
Did hands on exercise. Walked through the code. Explained everything very well
Steve Thomas - TII
Szkolenie - 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.
Szkolenie - 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.