#Caterva2 cannot only be used for sharing your compressed datasets in the internet, but also to efficiently perform operations on datasets exceeding available memory. Look at our new blog explaining how this works 👉 ironarray.io/blog/caterva2-l… Make compression better 😀

ironArray joined Twitter 3 years ago already? Really? Proud to see how much progress we did during these intense years! 🎉🎉 🚀🚀

See why #ironArray can make your #data simulation code to fly 🪁🪁: ironarray.io/blog_materials/…

Reductions are the bread and butter of everyday data analysis. ironArray allows doing this for on-disk data faster and consuming much less memory (up to 20x) than e.g. Dask+Zarr. ironarray.io/docs/html/bench… Do more with less.

🎉🎉New blog on estimating 𝜋 by throwing darts and using ironArray: blog.ironarray.io/estimating… In this installment: high quality random number generators, User Defined Functions and reductions. See how ironArray can consume much less time and memory, compared with #NumPy/#Numba 👇

ironArray comes with a nice assortment of blazing fast random generators.
 Check our tutorial here: ironarray.io/docs/html/tutor…
 API: ironarray.io/docs/html/refer… 
But as there is more to life than speed, our tests also guarantee that distributions pass the Kolmogorov-Smirnov test 👇

ironArray implements a matrix multiply that consumes (much) less time & memory than other parallel solutions. Even on Intel machines, ironArray can go at a speed that is just 2x slower than NumPy+MKL. Read more 👉 blog.ironarray.io/matrix-mul… Save time & energy with ironArray ⚡️🌲

Persistent storage has been gaining performance by leaps and bounds since solid state disks introduction. Check how out-of-core computation can lead to huge savings in memory compared with other solutions, while also performing decently fast: blog.ironarray.io/out-of-cor…

Did you know that ironArray comes with AI-driven compression algorithms that lets it easily adapt to your preferences? SPEED: favor speed CRATIO: favor compression ratio BALANCE: balance among the two above No more time wasted deciding the codec to use! 👉blog.ironarray.io/surpassing…

Did you know that our array constructors work in parallel and can go more than 10x faster than NumPy? And that by leveraging compression you can host way more data using the same memory resources? More info 👉ironarray.io/docs/html/bench… Enjoy speed and compactness with ironArray!