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@francescalted

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28.11.2024
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Latest posts by @francescalted

Achievement unlocked:

Compressing *and* computing right in the browser ✅

10.03.2026 16:40 👍 0 🔁 0 💬 0 📌 0
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New DSL kernels in Python-Blosc2, being parallelizable and JIT-compiling capable, can accelerate code quite a bit 🚀

For example, linspace() has been rewritten to use DSL kernels, and performance boost is well beyond expectations.

06.03.2026 06:57 👍 0 🔁 1 💬 0 📌 0

JIT-compiled DSL kernels: a major step forward for a minor release number! 🥳🥳

04.03.2026 11:58 👍 0 🔁 0 💬 0 📌 0

DSL kernels are gonna be a pretty wild thing.

20.02.2026 12:57 👍 1 🔁 0 💬 0 📌 0
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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!

05.02.2026 06:45 👍 6 🔁 4 💬 0 📌 0

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 💯

02.02.2026 12:19 👍 1 🔁 0 💬 0 📌 0

Really exciting news! 🥳🥳

30.01.2026 12:41 👍 0 🔁 0 💬 0 📌 0
Francesc Alted+Luke Shaw - Hands-on with Blosc2: Accelerating Your Python Data Workflows-PyData 2025
Francesc Alted+Luke Shaw - Hands-on with Blosc2: Accelerating Your Python Data Workflows-PyData 2025 YouTube video by PyData

🚀 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

21.01.2026 13:04 👍 0 🔁 2 💬 0 📌 0

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

17.12.2025 10:04 👍 1 🔁 0 💬 0 📌 0

Blosc2 + Caterva2 + Numba = ⚡⚡

04.12.2025 16:24 👍 1 🔁 0 💬 0 📌 0
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🤔 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

27.11.2025 17:11 👍 7 🔁 3 💬 1 📌 0
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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!

25.11.2025 17:17 👍 0 🔁 0 💬 0 📌 0

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

25.11.2025 16:34 👍 1 🔁 0 💬 0 📌 0

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

25.11.2025 07:24 👍 1 🔁 0 💬 0 📌 0

Don't let this opportunity slip away! 💨

24.11.2025 13:03 👍 2 🔁 0 💬 0 📌 0

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

24.11.2025 12:49 👍 1 🔁 0 💬 0 📌 0

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

24.11.2025 12:48 👍 1 🔁 0 💬 0 📌 0
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It's Friday, and apparently bluesky is ready for this fun revelation:

Dinosaurs lived on the other side the Galaxy.

21.11.2025 17:11 👍 931 🔁 388 💬 36 📌 52
Data browsing and computing right in your phone.

Data browsing and computing right in your phone.

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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

20.11.2025 11:24 👍 0 🔁 0 💬 0 📌 0
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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 📄 !

19.11.2025 11:27 👍 3 🔁 2 💬 0 📌 0

Yay! 🥳

20.11.2025 10:32 👍 0 🔁 0 💬 0 📌 0

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

18.11.2025 12:47 👍 0 🔁 0 💬 0 📌 0
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Stop downloading. Start computing.

Everything changes on November 18, 2025.

#Cat2Cloud is coming.

12.11.2025 09:13 👍 3 🔁 2 💬 0 📌 0
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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...

07.11.2025 17:26 👍 1020 🔁 168 💬 21 📌 19
18.08.2025 Compress, Compute, and Conquer: Python-Blosc2 for Efficient Data Analysis
18.08.2025 Compress, Compute, and Conquer: Python-Blosc2 for Efficient Data Analysis YouTube video by EuroSciPy

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

07.11.2025 11:38 👍 4 🔁 2 💬 0 📌 0
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📢🚨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

03.11.2025 08:30 👍 2 🔁 2 💬 0 📌 1

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. 🚀

28.10.2025 13:22 👍 1 🔁 0 💬 0 📌 0
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💊 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

20.10.2025 12:06 👍 4 🔁 2 💬 0 📌 1

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

15.10.2025 12:07 👍 1 🔁 0 💬 0 📌 0
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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

10.10.2025 09:23 👍 2 🔁 0 💬 0 📌 1