DSL kernels are gonna be a pretty wild thing.

The new engine in Python-Blosc2 4.0 delivers quite awesome performance results. Processing a 400 MB array can be up to 9.6x faster than NumPy 🤯

The best part is that it fully supports NumPy's array and ufunc interfaces. High performance with zero friction! 🏎️💨

ironarray.io/blog/miniexp...

Enjoy!

So glad to see v4.0 in the wild! 🥳🥳.

Thanks to all the ironArray team; you did an outstanding job in putting together top-class compression with high performance computing 💯

Really exciting news! 🥳🥳

YouTube video by PyData Francesc Alted+Luke Shaw - Hands-on with Blosc2: Accelerating Your Python Data Workflows-PyData 2025

🚀 Our #PyDataGlobal 2025 tutorial on modern #Blosc2 & #Caterva2 features is out!

Learn how compression boosts array performance & enables cloud computing without downloads. ☁️

Watch here: 👇 www.youtube.com/watch?v=tUvS...

#Python #HPC #DataScience #BigData

Run live data analysis and visualizations on your phone in seconds! 💻👁️

Blosc2 + Caterva2 + Numba = ⚡⚡

🤔 Can a library that computes on compressed data actually outperform performance heavyweights like NumPy and NumExpr?

Find some surprising answers 👉 www.blosc.org/posts/roofli...

During the walk, I'm also introducing a funny anecdote back when NumPy was a 👶

Enjoy!

#Blosc2 #HPC #NumPy #Numexpr

A la comunitat local de Python en Castelló de la Plana: aquest divendres dia 28 a les 7:30 ens reunirem al local de Nayar Systems en Avinguda Casalduch, 9.

Parlarem de Cat2Cloud ☁️ : ironarray.io/cat2cloud

Com que és Black Friday, tenim un regalet preparat per als asistents! 🎁

Us esperem!

Downloading big data is not only boring, but also consumes immense resources. Handle and extract value right where your data is! 💚

#sdlm Me parece muy bien que incluyan obras de mujeres en el concierto de año nuevo este año, pero... para cuando una directora mujer?

Don't let this opportunity slip away! 💨

Slice and compute with HDF5 in the cloud as easy as pie! 🥧

Slice and compute with HDF5 in the cloud as easy as pie! 🥧

It's Friday, and apparently bluesky is ready for this fun revelation:

Dinosaurs lived on the other side the Galaxy.

Data browsing and computing right in your phone.

I've built a demo Jupyter notebook that connects to a Cat2Cloud server from an Android phone and slices into an 8 TB dataset, downloading a 1 MB chunk in under 100 milliseconds. ⚡

Interact with your vasts remote datasets right in your phone!

cat2.cloud/demo/roots/@...

#Cat2Cloud #Blosc2 #BigData

ironArray is on a roll 🚅!

With Cat2Cloud released this week we continue our 💊ironPill series with another video, showing you how to browse your cloud-hosted data ☁️ in the bespoke web client!

Visualise and manage all kinds of data formats - from arrays to jpgs 🖼️, markdown to PDFs 📄 !

Yay! 🥳

So happy to see the beast out of the cage! 🥳

Stop downloading. Start computing.

Everything changes on November 18, 2025.

#Cat2Cloud is coming.

Haha, this from the New Yorker is getting passed around the math dork community. I did a comic about this kind of thought a few years ago: www.smbc-comics.com/comic/commut...

YouTube video by EuroSciPy 18.08.2025 Compress, Compute, and Conquer: Python-Blosc2 for Efficient Data Analysis

Our Blosc2 tutorial for @euroscipy.bsky.social 2025 is up! Learn how compression boosts tensor data handling, sharing & computing.

www.youtube.com/watch?v=BdpT... #DataScience #BigData #HPC #OpenSource

📢🚨Blosc2 3.11.0 Released! 🚨 📢

Blosc2 is part of the NumPy array library ecosystem: numpy.org

In v3.11, Blosc2 has become even more flexible; all functions can accept basically any array object:

𝚋𝚕𝚘𝚜𝚌𝟸.𝚖𝚊𝚝𝚖𝚞𝚕(𝙰, 𝙱)

for 𝙰, 𝙱 PyTorch, Jax, Tensorflow, Zarr... arrays!

#Compute
#Tensor
#PyTorch

The importance of linear algebra in modern computing is undeniable 📐.

Equally crucial is vertical integration. When SSD storage, memory hierarchies, compression, and computation are seamlessly orchestrated 💃, the performance gains can be transformative. 🚀

💊 IronPill 1💊
Blosc2 calculates Fourier approximations:
⚡5x faster than NumPy
👣 fraction of the memory footprint
🐍 one-line syntax 𝚜𝚞𝚖(𝚊 * 𝚌𝚘𝚜(𝚝) + 𝚋 * 𝚜𝚒𝚗(𝚝), 𝚊𝚡𝚒𝚜=𝟷)

Full notebook: github.com/Blosc/python...

(inspiration: towardsdatascience.com/numexpr-the-...)

#Blosc2
#Data
#SignalProcessing

From a programmer's virtue to a computational powerhouse: laziness transforms a developer's best practice into the engine of modern computing.

Inspired by the ESA's Gaia Milky Way map 🌌!

At SciPy 2023, we showcased visualizing a massive 7.3 TB Gaia dataset on a standard laptop by compressing it to 1.8 GB using #Blosc2. Big data analysis for everyone! 🚀

Dataset: digistorage.es/links/652403...
Paper: www.blosc.org/docs/Explori...

#napari

That's great news! Blosc2 is on its way to become a standard computing engine for most common array containers out there 🚀

Thanks to the array API standard effort; without it we could not possible reach this level of generality 🙏

Compress Better, Compute Faster

It's surprising how often the powerful SIMD capabilities of modern processors are overlooked. Harnessing them is key to unlocking next-level performance.

Voyager redefined my adolescence in a deep way (specially after its encounter with Jupyter). BTW, 7 million miles is around 11 million kilometers for non-US people.