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Course Outline
Εισαγωγή στο Unit Testing με το PyTest
Unit Testing με UnitTest έναντι Unit Testing με PyTest
Συγγραφή αναγνώσιμων και συντηρήσιμων τεστ
Χρησιμοποιώντας Mocks, Fakes και Stubs
Χρήση Άγκιστρων, Επανεγγραφής Επιβεβαίωσης και Προσθηκών
Βελτιστοποίηση των δοκιμών σας με φωτιστικά και παραμετροποιημένες δοκιμές
Απόκτηση της επιθυμητής κάλυψης δοκιμής
Δημιουργία Testable Documentation με Doctest
Ενσωμάτωση δοκιμών μονάδας Python σε περιβάλλον συνεχούς ολοκλήρωσης (CI).
Κλιμάκωση των δοκιμών μονάδας Python σας
Χρησιμοποιήστε το Python για να δοκιμάσετε εφαρμογές που δεν είναι Python
Περίληψη και Συμπέρασμα
Requirements
- Μια γενική κατανόηση των δοκιμών αυτοματισμού
Ακροατήριο
- Ελεγκτές λογισμικού
21 Hours
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.
