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
www.youtube.com/watch?v=BdpT... #DataScience #BigData #HPC #OpenSource
18.08.2025 Compress, Compute, and Conquer: Python-Blosc2 for Efficient Data Analysis
YouTube video by EuroSciPy
www.youtube.com
November 7, 2025 at 11:38 AM
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
www.youtube.com/watch?v=BdpT... #DataScience #BigData #HPC #OpenSource
📢🚨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
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
November 3, 2025 at 8:30 AM
💊 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 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
October 20, 2025 at 12:06 PM
💊 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 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
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!
No need to add loops manually, just add @blosc2.jit and it will do its magic!
Compress Better, Compute Bigger!
March 7, 2025 at 1:56 PM
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!
No need to add loops manually, just add @blosc2.jit and it will do its magic!
Compress Better, Compute Bigger!
Origin
archlinux.org
June 16, 2025 at 5:28 AM
Struggling with slow I/O in #HDF5? Try #Blosc2 as a filter or I/O data handler — faster data, less pain!
👉 www.blosc.org/posts/pytabl...
#Performance #DataScience
👉 www.blosc.org/posts/pytabl...
#Performance #DataScience
July 1, 2025 at 12:24 PM
Struggling with slow I/O in #HDF5? Try #Blosc2 as a filter or I/O data handler — faster data, less pain!
👉 www.blosc.org/posts/pytabl...
#Performance #DataScience
👉 www.blosc.org/posts/pytabl...
#Performance #DataScience
Origin
archlinux.org
July 18, 2025 at 10:31 AM
Just fixed a long standing bug that prevented structured dtypes of more than 255 bytes in python-blosc2. The new limit is 512 MB, just for the dtype; the limit for datasets continues to be about an Exabyte (2**60 bytes!).
github.com/Blosc/python...
github.com/Blosc/python...
Large Structured Arrays support · Issue #364 · Blosc/python-blosc2
Describe the bug I have a structured array with dtype.itemsize of 1298784, when I try to create an empty array: a = blosc2.empty(dtype=dtype, shape=shape, ...) It fails to compute the proper blocks...
github.com
February 18, 2025 at 4:44 PM
Just fixed a long standing bug that prevented structured dtypes of more than 255 bytes in python-blosc2. The new limit is 512 MB, just for the dtype; the limit for datasets continues to be about an Exabyte (2**60 bytes!).
github.com/Blosc/python...
github.com/Blosc/python...
🗣️ 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
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
July 2, 2025 at 5:43 PM
🗣️ 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
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
📢 We are pleased to announce the integration of a new stack feature in #Blosc2 🚀, which allows for stacking large arrays along a new axis.
We've updated our recent blog post:
Check it out! 👇
www.blosc.org/posts/blosc2...
Compress Better, Compute Bigger
#Python #DataScience #Performance #OpenSource
We've updated our recent blog post:
Check it out! 👇
www.blosc.org/posts/blosc2...
Compress Better, Compute Bigger
#Python #DataScience #Performance #OpenSource
June 23, 2025 at 4:34 PM
📢 We are pleased to announce the integration of a new stack feature in #Blosc2 🚀, which allows for stacking large arrays along a new axis.
We've updated our recent blog post:
Check it out! 👇
www.blosc.org/posts/blosc2...
Compress Better, Compute Bigger
#Python #DataScience #Performance #OpenSource
We've updated our recent blog post:
Check it out! 👇
www.blosc.org/posts/blosc2...
Compress Better, Compute Bigger
#Python #DataScience #Performance #OpenSource
📢 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!
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!
Optimizing chunks for matrix multiplication in Blosc2
Exploring how to optimize chunk sizes in Blosc2 to improve performance in matrix multiplication.
www.blosc.org
March 12, 2025 at 1:17 PM
📢 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!
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!
Blosc2 3.0 final is approaching. Yay!
📢 We are adding the latest bolts and nuts to the Blosc2 library before release 3.0.0.
In our last release candidate, we fixed a couple of issues that showed up in our recent tutorial at the PyData Global 2024.
github.com/Blosc/python...
We are curious on what you are going to build with it! 😀
In our last release candidate, we fixed a couple of issues that showed up in our recent tutorial at the PyData Global 2024.
github.com/Blosc/python...
We are curious on what you are going to build with it! 😀
December 11, 2024 at 1:29 PM
Blosc2 3.0 final is approaching. Yay!
python-blosc2 3.6.0-1 x86_64 Wrapper for the blosc2 compressor
#Extra-Testing #x86_64
Origin | Interest | Match
#Extra-Testing #x86_64
Origin | Interest | Match
Arch Linux - python-blosc2 3.5.0-1 (x86_64)
archlinux.org
July 17, 2025 at 2:12 PM
python-blosc2 3.6.0-1 x86_64 Wrapper for the blosc2 compressor
#Extra-Testing #x86_64
Origin | Interest | Match
#Extra-Testing #x86_64
Origin | Interest | Match
Origin
archlinux.org
October 14, 2025 at 7:53 PM
📢 🔥 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...
🚀 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...
March 28, 2025 at 1:48 PM
📢 🔥 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...
🚀 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...
Python-Blosc v1.11.3 has been released, which added support (and wheels!) for Python 3.13. Python-Blosc2 v3.3.3 has also been released, which brings bug fixes & optimizations! Congrats to Blosc for all these big updates!
June 14, 2025 at 3:02 PM
Python-Blosc v1.11.3 has been released, which added support (and wheels!) for Python 3.13. Python-Blosc2 v3.3.3 has also been released, which brings bug fixes & optimizations! Congrats to Blosc for all these big updates!
📣 New video tutorial 🎥✨
🧮 The basics of an NDArray object in Blosc2
⚡ Lazy expressions for efficient computation
🌍 Caterva2: Access your data through network
🎬 Watch it: www.youtube.com/watch?v=aR-i...
Don't miss out—learn, explore, and level up your data skills! 🚀
#DataScience #Compression
🧮 The basics of an NDArray object in Blosc2
⚡ Lazy expressions for efficient computation
🌍 Caterva2: Access your data through network
🎬 Watch it: www.youtube.com/watch?v=aR-i...
Don't miss out—learn, explore, and level up your data skills! 🚀
#DataScience #Compression
Francesc Alted - Mastering Large NDArray Handling with Blosc2 and Caterva2 | PyData Global 2024
YouTube video by PyData
www.youtube.com
April 15, 2025 at 7:42 PM
📣 New video tutorial 🎥✨
🧮 The basics of an NDArray object in Blosc2
⚡ Lazy expressions for efficient computation
🌍 Caterva2: Access your data through network
🎬 Watch it: www.youtube.com/watch?v=aR-i...
Don't miss out—learn, explore, and level up your data skills! 🚀
#DataScience #Compression
🧮 The basics of an NDArray object in Blosc2
⚡ Lazy expressions for efficient computation
🌍 Caterva2: Access your data through network
🎬 Watch it: www.youtube.com/watch?v=aR-i...
Don't miss out—learn, explore, and level up your data skills! 🚀
#DataScience #Compression
Struggling to get performant code from LLMs? 🤔
We can help! 💪 We've spent countless hours profiling and micro-benchmarking Blosc2 for you. A thing that LLMs cannot do (yet).
Ready to dive in? 🚀
🔹 EuroSciPy Talk: www.blosc.org/docs/2025-Eu...
🔹 Tutorial: github.com/Blosc/EuroSc...
#HPC #Blosc2
We can help! 💪 We've spent countless hours profiling and micro-benchmarking Blosc2 for you. A thing that LLMs cannot do (yet).
Ready to dive in? 🚀
🔹 EuroSciPy Talk: www.blosc.org/docs/2025-Eu...
🔹 Tutorial: github.com/Blosc/EuroSc...
#HPC #Blosc2
September 8, 2025 at 12:11 PM
Struggling to get performant code from LLMs? 🤔
We can help! 💪 We've spent countless hours profiling and micro-benchmarking Blosc2 for you. A thing that LLMs cannot do (yet).
Ready to dive in? 🚀
🔹 EuroSciPy Talk: www.blosc.org/docs/2025-Eu...
🔹 Tutorial: github.com/Blosc/EuroSc...
#HPC #Blosc2
We can help! 💪 We've spent countless hours profiling and micro-benchmarking Blosc2 for you. A thing that LLMs cannot do (yet).
Ready to dive in? 🚀
🔹 EuroSciPy Talk: www.blosc.org/docs/2025-Eu...
🔹 Tutorial: github.com/Blosc/EuroSc...
#HPC #Blosc2
Origin
archlinux.org
November 3, 2025 at 5:33 PM
Origin
archlinux.org
July 17, 2025 at 2:12 PM
🚀 I'm also thrilled about the new blosc2.TreeStore class 🚀
We had the opportunity to show it in action during our recent tutorial at #EuroSciPy 2025, where we had a good time seeing audience engagement. Thanks to the attendees!
We had the opportunity to show it in action during our recent tutorial at #EuroSciPy 2025, where we had a good time seeing audience engagement. Thanks to the attendees!
🚀 We're thrilled to announce *TreeStore*, a new class in Python-Blosc2! Endow your datasets with a hierarchical structure! ⚡️
📝 We've blogged about it:
www.blosc.org/posts/new-tr...
It's in beta, and available in Python-Blosc2 v3.7.2. Enjoy!
#Python #Blosc2 #TreeStore #DataScience #OpenSource
📝 We've blogged about it:
www.blosc.org/posts/new-tr...
It's in beta, and available in Python-Blosc2 v3.7.2. Enjoy!
#Python #Blosc2 #TreeStore #DataScience #OpenSource
August 20, 2025 at 6:11 AM
🚀 I'm also thrilled about the new blosc2.TreeStore class 🚀
We had the opportunity to show it in action during our recent tutorial at #EuroSciPy 2025, where we had a good time seeing audience engagement. Thanks to the attendees!
We had the opportunity to show it in action during our recent tutorial at #EuroSciPy 2025, where we had a good time seeing audience engagement. Thanks to the attendees!
Python-Blosc2 comes with an extensively tested partition sizes algorithm for automatically setting the best chunk and block sizes for you.
But you can always bypass this mechanism for more appropriate fine-tuning in different scenarios 🚀
www.blosc.org/python-blosc...
#Compression #Performance
But you can always bypass this mechanism for more appropriate fine-tuning in different scenarios 🚀
www.blosc.org/python-blosc...
#Compression #Performance
July 29, 2025 at 8:43 AM
Python-Blosc2 comes with an extensively tested partition sizes algorithm for automatically setting the best chunk and block sizes for you.
But you can always bypass this mechanism for more appropriate fine-tuning in different scenarios 🚀
www.blosc.org/python-blosc...
#Compression #Performance
But you can always bypass this mechanism for more appropriate fine-tuning in different scenarios 🚀
www.blosc.org/python-blosc...
#Compression #Performance
📢 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
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
June 17, 2025 at 10:25 AM
📢 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
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
Mixing #JupyterLite, #WebAssembly and #Cat2Cloud allows incredible speed and flexibility in accessing large remote data silos, both in #Blosc2 and #HDF5 formats ⚡
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 by yourself! 👉 cat2.cloud/demo/roots/@...
Share Data Faster!
#BigData #RemoteAccess #Performance
Try it out by yourself! 👉 cat2.cloud/demo/roots/@...
Share Data Faster!
#BigData #RemoteAccess #Performance
July 9, 2025 at 3:24 PM
Mixing #JupyterLite, #WebAssembly and #Cat2Cloud allows incredible speed and flexibility in accessing large remote data silos, both in #Blosc2 and #HDF5 formats ⚡