NumPy 2 is coming: preventing breakage, updating your code
If you’re writing scientific or data science code with Python, there’s a good chance you’re using NumPy, directly or indirectly.
Pandas, Scikit-Image, SciPy, Scikit-Learn, AstroPy… these and many other packages depend on NumPy.
NumPy 2 is a new major release, with a release candidate coming out February 1st 2024, and a final release a month or two later.
Importantly, it’s backwards incompatible; not in a major way, but enough that some work might be required to upgrade.
And that means you need to make sure your application doesn’t break when NumPy 2 comes out.
In this article we’ll cover:
- The different ways the new release might break your application.
- A quick reminder about the importance of pinning packages.
- How to ensure your application doesn’t install NumPy 2 until