Luke Shaw

Notebook here - github.com/Blosc/python-b…)

📢Blosc2 4.1 Release! We've packed this minor release: optimised compression and funcs for unicode arrays; cumulative reductions; memory-map support for store containers like `DictStore` ; and a DSL kernel functionality for faster, compiled, user-defined funcs!👇

🚨 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!

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 #Cat2Cloud #BlackFriday

Unlock the power of your HDF5 data in the cloud! ☁️ Cat2Cloud now offers native, out-of-the-box support for HDF5 files.✨ Ready to see it in action? Try our online demo server today! 👉 cat2cloud.com/demo/ #HDF5 #CloudComputing #Visualization

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

ironArray is on a roll 🚅! With Cat2Cloud released this week we continue our 💊ironPill series, 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 🖼️, .md to PDFs 📄 !

📢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/tensordo…) - Server compuation via Cat2Cloud (demo site here cat2.cloud/demo/)! #Zarr #HDF5 #Python

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

Exciting news! Python-Blosc2 is making huge strides towards array-api compliance. 🚀 You can now use it as a drop-in replacement for NumPy to operate efficiently on compressed data. 🗜️💪 There's more to come, but what a fantastic milestone! ✨

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

Looking forward to meet folks for an exciting tutorial on efficient compression, large computations and other musings. See you in Krakow!

Struggling with slow I/O in #HDF5? Try #Blosc2 as a filter or I/O data handler — faster data, less pain! 👉 blosc.org/posts/pytables… #Performance #DataScience

🗣️ Announcing Python-Blosc2 3.5.1 🚀This introduces significant performance and memory optimizations, enhancing the experience of computing with large, compressed datasets using lazy expressions. Compress Better, Compute Bigger! #Performance #MemoryEfficiency #DataScience

For those who could not attend, the recording of our webinar, "A Gentle Introduction to Cat2Cloud," is now available! #webinars-learn-more-about-cat2cloud" target="_blank" rel="nofollow noopener">ironarray.io/cat2cloud#webi… If interested, remember that the subscription to our beta program is currently open! Compress Better, Compute Bigger, Share Faster!

#Blosc2 now runs directly in your browser! Leveraging the power of #WASM, #Pyodide, and #JupyterLite, you can harness efficient compression through the web's universal interface. Compress Better, Compute Bigger, Share Faster #DataCompression #WebDevelopment #DataScience

Thanks to the advanced double partitioning techniques in #Blosc2, our #Caterva2 package can serve small slices of big datasets (3.8 GB) through internet in less than the blink of an eye. Try it out! 👉 @public/examples/large-dataset-indexing.ipynb?roots=%40public" target="_blank" rel="nofollow noopener">cat2.cloud/demo/roots/@pu… Share Faster! #BigData #RemoteAccess #Performance