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That's Fresh! Newsletter
Read a selection of our past issues.
FROM THE AI WORLD
NumPy, the cornerstone library for numerical computing in Python, has been an indispensable tool for data scientists and engineers for nearly two decades. Originally created by Travis Oliphant (the founder of Anaconda) in 2006, NumPy has evolved into a robust and efficient library for handling large, multi-dimensional arrays and matrices.
This landmark version, NumPy 2.0, is the result of months of dedicated work by 198 contributors, culminating in over 1000 pull requests. NumPy 2.0 introduces numerous groundbreaking features, significant API improvements, and, most importantly, substantial performance enhancements.
However, this release also brings several breaking changes. Developers can find guidance on adapting their code in the NumPy 2.0 migration guide. It's essential to be cautious when migrating to NumPy 2.0. Tools like Ruff can assist in identifying and resolving compatibility issues during the transition.
Will you stick with NumPy 1.0 for a while, or are you brave enough to try migrating to 2.0 as soon as it is officially out? ๐
The new NumPy 2.0 is almost out
The authors say that the new release "contains a large number of exciting new features as well as changes to both the Python and C APIs.
CLEARBOX AI
Here we go at Italy Insurance Forum!
A few weeks ago we participated as sponsors at the event dedicated to AI in insurance with our partner S2E. Watch the interview to find out what we do together!
BLOG POST
Our Preprocessor with Polars
To boost the performances of the previous simple preprocessor we created at Clearbox, and make it more scalable, we rewrote it with Polars library.
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