A Bit everyday A Byte every week
Use operator to easily trigger downstream DAGs in Airflow
When building dependencies between DAGs, you don’t always have to rely on RESTful APIs.
Airflow also provides a built-in Operator for this purpose.
End the mess of switching Python versions.
Pyenv is a tool for managing different Python versions.
Whether you’re upgrading a project to a newer Python release or switching between projects with different requirements, pyenv makes the process simple and hassle-free.
An introduction to two approaches for testing class instantiation when using the Factory Pattern, with practical examples using pytest-mock.
Introducing the factory pattern in your code can significantly improve its structure—but it also makes unit testing a bit trickier.
We’ll walk through two different mocking strategies, compare their pros and cons, and help you write more robust tests!
Free your unit tests from database dependencies using mocks.
With mock objects, we can simulate database operations without actually connecting to a real database.
This means we don’t need to prepare a dedicated test database or worry about cleaning it up after tests.
How to use Mock to simulate behavior, raise exceptions, and test side effects.
After covering the basic tools, this article demonstrates how to use mocks effectively in Pytest.
Mocks allow us to replace the logic of real functions to simulate different scenarios and write more precise unit tests.
We’ll walk through examples of mocking functions, simulating errors, and even handling external dependencies like Redis.
An introduction to Pytest and the core concepts of Mock
Writing unit tests is a well-known best practice in software development, but actually getting started often feels overwhelming.
Where do you begin? What tools should you use? And how do you use them?
For beginners, these first steps can easily become roadblocks.
Setting up a Python development environment on Mac
This is my first time using Python in a work environment, so I’m documenting the environment setup. Many of these packages are new to me, not having used them when I was self-learning a few years ago. I guess that reveals how long it’s been since I touched Python!
