📢 Blosc2 🤝 OpenZL 🔁 Use the OpenZL compression 🗜️ library from Blosc2: github.com/Blosc/blosc2...! 𝚙̲𝚒̲𝚙̲ ̲𝚒̲𝚗̲𝚜̲𝚝̲𝚊̲𝚕̲𝚕̲ ̲𝚋̲𝚕̲𝚘̲𝚜̲𝚌̲𝟸̲–̲𝚘̲𝚙̲𝚎̲𝚗̲𝚣̲𝚕̲ and just like that, OpenZL compression + Blosc2 compute engine! Check out the OpenZL project openzl.org. Inside story on the plugin ⏩️ blosc.org/posts/openzl...

🚨 Double threat!: Blosc2 3.12.2 + Caterva2 2025.12.3 release!🚨 ✅ Streamlined computation for LazyUDFs ✅ Upload LazyUDFs for server-side execution in Caterva2 And as another consequence, Numba can now be integrated into your Blosc2 LazyUDF workflow very easily!

🤔 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

To round off our presentation of the shiny new Cat2Cloud product, we have a final 💊 ironPill 💊on data handling from the web client 🌐 . See how to move ➡️ , copy ©️ and perform other file management operations easily from the prompt box! Stop downloading, start doing! 🔨

It's Black Friday Week! 🛍️🖤 Don't miss out! Use the coupon code BLACKFRIDAY to get a generous 50% OFF your first order on Cat2Cloud. 💰 This offer is valid until Cyber Monday (Dec 1st), so don't delay! ⏳ Get it today! 👉 ironarray.io/pricing

The crown jewel of Cat2Cloud 💎 ! Cat2Cloud's most exciting feature: 𝗿𝗲𝗺𝗼𝘁𝗲 𝗷𝘂𝗽𝘆𝘁𝗲𝗿 𝗻𝗼𝘁𝗲𝗯𝗼𝗼𝗸𝘀! ☁️ cloud-based computation ☁️ cloud-hosted data ☁️ cloud-hosted jupyter notebooks! ⚡No environment headaches, no waiting for computations - all in a seamless interface from the browser!

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 📄 !

📢🚨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

💊IronPill 2💊 See how Blosc2 powers heavy-duty linear algebra (100GB!) workflows ⚡1.5-2x faster than PyTorch + h5py! 🧱 optimised chunking for your cache hierarchy 🐍 one line syntax 𝚋𝚕𝚘𝚜𝚌𝟸.𝚖𝚊𝚝𝚖𝚞𝚕(𝙰, 𝙱, 𝚞𝚛𝚕𝚙𝚊𝚝𝚑='𝚘𝚞𝚝.𝚋𝟸𝚗𝚍') See blog here: ironarray.io/blog/la-blosc #Blosc2 #Data #LinearAlgebra

💊 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

📢Blosc2 3.10.2 Released! 📢 Lazy evaluation for ALL Blosc2 functions in version 3.10! Blosc2 powers: - Zarr/HDF5 computations (see image and blosc.org/posts/tensor...) - Server compuation via Cat2Cloud (demo site here cat2.cloud/demo/)! #Zarr #HDF5 #Python

🚨Blosc2 3.9.1🚨 Blosc2 as a mature computation engine >>> • Array API standard compliance - 70 new functions • Fast linalg: tensordot 12x 𝐅𝐀𝐒𝐓𝐄𝐑 than NumPy for large arrays ! • Fast calc: Funcs like hypot 10x 𝐅𝐀𝐒𝐓𝐄𝐑 than NumPy! Blog: ironarray.io/blog/array-api #Python #linalg #computation

🗣️ Announcing Python-Blosc2 3.8.0 🚀 A step closer to compliance with the array-api standard: data-apis.org/array-api! This is an effort across all array-based libraries so that your code works (e.g. for both blosc2 and NumPy) by simply changing the import statement below! #arrayapi #Blosc2

🗣️ Announcing Python-Blosc2 3.8.0 🚀 A step closer to compliance with the array-api standard: data-apis.org/array-api! This is an effort across all array-based libraries so that your code works (e.g. for both blosc2 and NumPy) by simply changing the import statement below! #arrayapi #Blosc2

Hats off to the excellent work that @lshaw-ironarray.bsky.social is doing to the @ironarray.io and @blosc.org ecosystems. Fancy indexing is like a wild animal difficult to tame, but in this particular case he did an outstanding work at it! 👏

📢 Blosc2 just launched a super-efficient array concatenation feature! 🎉 Combine massive arrays quickly and with minimal memory. If your array chunks are aligned, it's even faster! Perfect for big data tasks. Check out our blog post: www.blosc.org/posts/blosc2... Compress Better, Compute Bigger

Caterva2 also supports filtering 🗃️data with fields, via the web client 🌐 or programmatically from Python code 🐍- even the most advanced queries are possible! This makes it ideal for structured datasets for Data Science 🧪. See 👀 what Caterva2 can do !-> ironarray.io/caterva2. #DataScience #Python

Did you know Caterva2 has native support for HDF5 files 📂 ? Here at ironArray we are constantly working 🛠️ on the software to offer an improved product to our users - checkout how to use the unfold 📖 command to expose your .h5 files to Caterva2's powerful analysis toolkit 🧰 - > ironarray.io/caterva2

🗣️New blog entry of Ricardo Sales Piquer, our intern working in linear algebra problems: Make NDArrays Transposition Fast (and Compressed!) in #Blosc2 🚀 www.blosc.org/posts/optimi... Great work Ricardo! 🎉 #Compression #LinearAlgebra #Optimization #DataScience Compress Better, Compute Faster 😀

📝 Just published my blog post as part of the @blosc.org team: Make NDArrays Transposition Fast (and Compressed!) in #Blosc2 🚀 I dive into optimizing matrix transposition using smart chunk layouts — and how Blosc2 can rival NumPy's speed with compression included. Compress Better, Compute Faster 😄

Cat2Cloud Video 5! We connect the Single Source of Truth (SSoT) concept to lazy expressions and Cat2Cloud's powerful append. We also see how to seamlessly switch between notebooks and the web client. Full video : ironarray.wistia.com/medias/4uept... Find out more: ironarray.io/cat2cloud

Our **4th video** on **Cat2Cloud** is now live! 🎉 **Optimize your data analysis pipelines** using **lazy expressions** in Jupyter Notebooks. 📊✨ Seamlessly combine **local 🖥️ and remote 🌐 data processing** 💾⚡ 👉 Full video ironarray.io/cat2cloud

Nice intro to using lazy expressions in Cat2Cloud SaaS by our own Luke Shaw 🥳

🚀 Compute Bigger with Cat2Cloud Compression! 🗜️ In this third video, we explore lazy expressions 😴 using the Cat2Cloud web client. 🌐 💡 Lazy expressions decompress and compute data only when needed, saving resources! 👉 Try it: cat2.cloud/demo 🔗 ironarray.io/cat2cloud 👀 #compression #datascience

Dealing with remote Blosc2 datasets has never been easier 😊 Follow the video interactively with: github.com/ironArray/Ca... Welcome to the team, Luke!

Second cat2cloud intro video! 🥳 Optimise file transfer ⚡ and access for server-hosted data 📅 with cat2cloud's compression-first framework. Minimise transfer times/storage requirements! More -> ironarray.io/cat2cloud!

Is it possible to compute with arrays that are 100x larger than memory and still achieve good performance? 🤯 With the new compute engine in Python-Blosc2, you can! 😊 Check out our blog post for more details: ironarray.io/blog/compute... Compress Better, Compute Bigger!

🚀 Blosc2 is blasting groundbreaking compression and computing power straight to the cloud! 🔥💡

📣 Announcing the release of Python-Blosc2 3.3.0: 🔄 New blosc2.transpose() ⚡️ New fast path for NDArray.slice() - up to 40x speedup 🔧 NDArray.slice() now preserves compression params 📝 Improved documentation Thanks to all contributors! github.com/Blosc/python... Compress Better, Compute Bigger! 😀

🗣️ After 15 years delivering Blosc/Blosc2, we are glad to announce the beta program for Cat2Cloud:🤟 - 🗜️ Access to the best compression algorithms available - 🔄 Share complex data securely and effortlessly - ⚡ Perform advanced computations directly in the cloud ...and more! ironarray.io/cat2cloud

Did you know that you can use the @blosc2.jit decorator to accelerate your computations with NumPy by 10x and more by just adding a single line to your function? No need to add loops manually, just add @blosc2.jit and it will do its magic! Compress Better, Compute Bigger!

📢 We are happy to announce the release of Python-Blosc2 3.2.0! This release introduces the new blosc2.matmul() function. We have written a nice blog: www.blosc.org/posts/optimi... Lastly, we are excited to introduce WASM32 wheels for the first time. More info at: github.com/Blosc/python... Enjoy!

We've poured our hearts into creating comprehensive documentation for Python-Blosc2. Explore the latest resources at: - www.blosc.org/python-blosc2/ Your feedback is invaluable in shaping these materials to better serve the community. Let us know what you think! Compress Better, Compute Bigger!

🔥 Blosc2 3.2.1: NumPy's best friend! 🔥 blosc2.jit + NumPy array interface = blazing fast, direct compressed data crunching! See how: github.com/Blosc/python-blosc2/blob/main/examples/ndarray/jit-numpy-funcs.py #DataScience #Python #Compression Compress Better, Compute Bigger!

📢 🔥 Article on Blosc2: Compute with TB-sized datasets on your own hardware! 🚀 Outperforms NumPy by 10x ~ 100x for large computations 🐍 Integrates seamlessly with the Python data science ecosystem 💻 Works both in-memory and on-disk with minimal performance differences ironarray.io/blog/compute...

Blosc compression helped fighting memory bottlenecks for 15 years now! 🎂 See how Dask + Zarr benefits from it. But vertical integration between compression and the compute engine in newest Python-Blosc2 makes a big difference in terms of speed ⚡ and scalability 🤟 #Compress better, #Compute bigger!

Happy to sponsor such an excellent work!