Luke Shaw @lshaw_ironarray

🚨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! ✨

Luke Shaw @lshaw_ironarray

3 weeks ago

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! ✨

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🗣️ 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!

EuroSciPy @EuroSciPy

3 months ago

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

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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! 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! 👉 cat2.cloud/demo/roots/@pu… Share Faster! #BigData #RemoteAccess #Performance

Second cat2cloud introductory video! 🥳 Optimise file transfer ⚡ and access for server-hosted data 📅 with cat2cloud's compression-first framework Minimise transfer times and storage requirements 🗜️! See more at ironarray.io/cat2cloud! #API #datascience #compression #jupyter

🚀 Compute Bigger with Cat2Cloud Compression! 🗜️ In this third video, we explore lazy expressions 😴— a compression-native tool to optimize operations on your data using the Cat2Cloud web client. 🌐 👉 Try it out here: cat2.cloud/demo 🔗 ironarray.io/cat2cloud 👀

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

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/4uepth8… 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

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

Blosc2 just launched a super-efficient array concatenation feature! 🥳 Combine massive arrays quickly and with minimal memory. Check out our blog post: blosc.org/posts/blosc2-n… Compress Better, Compute Bigger