Join us

Using NumPy to replace Pandas GroupBy-Apply pattern for performance

Pandas UDF can be limited, so we can speed up the Pandas GroupBy-Apply pattern by using NumPy instead, resulting in a significant performance improvement. However, it's important to benchmark and consider costs before deciding between Pandas and NumPy for your specific use case.


Let's keep in touch!

Stay updated with my latest posts and news. I share insights, updates, and exclusive content.

Unsubscribe anytime. By subscribing, you share your email with @faun and accept our Terms & Privacy.

Give a Pawfive to this post!


Only registered users can post comments. Please, login or signup.

Start writing about what excites you in tech — connect with developers, grow your voice, and get rewarded.

Join other developers and claim your FAUN.dev() account now!

Avatar

The FAUN

FAUN.dev()

@faun
The FAUN watches over the forest of developers. It roams between Kubernetes clusters, code caves, AI trails, and cloud canopies, gathering the signals that matter and clearing out the noise.
Developer Influence
3k

Influence

302k

Total Hits

3711

Posts