The document discusses nose-parameterized, a Python library that allows test cases to be dynamically generated from parameterized data. It provides an example of using nose-parameterized to test an add function with different input parameters. The document also lists some use cases, such as generating many tests with different parameters to write less code, and testing APIs by parameterizing different input and expected output JSON blobs. It concludes by providing the GitHub link for nose-parameterized and a note that the speaker's company is hiring full stack Django developers.
![Example test with parameterized decorator
import unittest
from nose_parameterized import parameterized
class AddTestCase(unittest.TestCase):
@parameterized.expand([
("2 plus 3", 2, 3, 5),
("3 plus 5", 3, 5, 8),
])
def test_add(self, _, a, b, expected):
self.assertEqual(a + b, expected)](https://image.slidesharecdn.com/64a95485-bc85-4a2c-8f44-b420af576375-161027073918/85/benpresentation_django-2-320.jpg)
![Some Use Cases
● Write less code to generate many tests with different parameters
● We use it at SimpleLife to test 15 different scenarios of a django FormWizard
view that has 7-8 steps
○ (given inputs [a,b,c,...], we expect to see [x,y,z,..]
● Use it to test APIs
○ input is JSON blob X, expect JSON blob Y as output](https://image.slidesharecdn.com/64a95485-bc85-4a2c-8f44-b420af576375-161027073918/85/benpresentation_django-4-320.jpg)
