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Programa del Curso
Introducción a Unit Testing con PyTest
Unit Testing con UnitTest frente a Unit Testing con PyTest
Escribir pruebas legibles y mantenibles
Uso de simulacros, falsificaciones y stubs
Uso de ganchos, reescritura de aserciones y plug-ins
Optimización de sus pruebas con accesorios y pruebas parametrizadas
Obtención de la cobertura de prueba deseada
Generación comprobable Documentation con Doctest
Integración de Python pruebas unitarias en un entorno de integración continua (CI)
Escalado de las Python pruebas unitarias
Utilice Python para probar aplicaciones que no sean Python
Resumen y conclusión
Requerimientos
- Una comprensión general de las pruebas de automatización
Audiencia
- Probadores de software
21 Horas
Testimonios (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.
Curso - Unit Testing with Python
I loved summaries
Martyna - Orange Szkolenia Sp. z o.o.
Curso - Unit Testing with Python
Materials Trainer
Zakar Abid - TII
Curso - Unit Testing with Python
Did hands on exercise. Walked through the code. Explained everything very well
Steve Thomas - TII
Curso - 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.
Curso - 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
Curso - 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.
