Francesc Alted @[email protected]
@FrancescAlted
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Creator and BDFL of Blosc/@Blosc2. Co-founder and CEO of https://t.co/fi245VDWvZ. Love Python & C. https://t.co/yyWPV7377A
CastellΓ³ de la Plana
Joined January 2012
From a programmer's virtue to a computational powerhouse: laziness transforms a developer's best practice into the engine of modern computing!
π’Blosc2 3.10.2 Released! π’ Lazy evaluation for ALL Blosc2 functions in version 3.10! Blosc2 powers: - Zarr/HDF5 computations (see image and https://t.co/PlJfNyNaBA) - Server compuation via Cat2Cloud (demo site here https://t.co/hQWV6ginLq)!
#Zarr
#HDF5
#Python
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Inspired by the ESA's Gaia Milky Way map! At SciPy 2023, we showcased visualizing a massive 7.3 TB Gaia dataset on a standard laptop by compressing it to 1.8 GB using #Blosc2. Big data analysis for everyone! π Dataset: https://t.co/976427jszL Paper: https://t.co/tWwia6gfrG
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π¨Blosc2 3.9.1π¨ β’ Array API standard compliance - 70 new functions β’Β Fast linalg: tensordot up to 12x π
πππππ than NumPy for large arrays ! β’ Fast num calc: Funcs like hypot 10x π
πππππ than NumPy! Blog: https://t.co/3EWRlHTg3Y
#Python
#linalg
#computation
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The powerful SIMD capabilities in modern processors represent a huge, often untapped, potential for accelerating computations. https://t.co/r5hsbLzC2O
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Exciting news! Python-Blosc2 is making huge strides towards array-api compliance. π You can now use it as a drop-in replacement for NumPy to operate efficiently on compressed data. ποΈπͺ There's more to come, but what a fantastic milestone! β¨
π£οΈ Announcing Python-Blosc2 3.8.0 π A step closer to compliance with the array-api standard: https://t.co/LR5Oqjd5Ny! 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
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The slides of my talk about _Blosc2: Compress Better, Compute Bigger_ for the recent @EuroSciPy : https://t.co/JKOgXpx6pv EuroSciPy 2025 was great! A human sized event with lots of interesting talks and people ready to help you. Thanks to the organizers for a fantastic event!
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π We're thrilled to announce *TreeStore*, a new class in Python-Blosc2! Endow your datasets with a hierarchical structure! β‘οΈ π We've blogged about it: https://t.co/Rfbq4rydyn It's in beta, and and available in Python-Blosc2 v3.7.2. Enjoy! #Python #DataScience #OpenSource
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Python-Blosc2 comes with an extensively tested partition sizes algorithm for setting the best chunk and block sizes. But you can always bypass this mechanism for more appropriate fine-tuning π Compress Better, Compute Bigger! https://t.co/7OUlxljqCK
#DataScience
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π£οΈ Announcing Python-Blosc2 3.6.1 Β‘Unlock new levels of data manipulation with new fancy and orthogonal indexing in #Blosc2! π π https://t.co/KhC8sRM74m Compress Better, Compute Bigger! #Python #DataScience #BigData #NumPy #Performance
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Tired of trial-and-error with #Blosc2 compression? Do better with #Btune! π Btune can be trained to automatically find the best parameters for your specific datasets and use case. π https://t.co/FbezSSsViG Compress Bettter! #DataCompression #Optimization
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#Blosc2 supports memory-mapped files for super-efficient data access! π π https://t.co/TV1dgrHoBj Join our tutorial at @EuroSciPy 2025, where we'll dive deep into these techniques and share more expert tips for maximizing data throughput. See you there! #Performance ππΎ
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π‘New to version control or data management? π£ Tutorial: Managing Scientific Data and Workflows with DataLad π Led by Ole Bialas & MichaΕ Szczepanik! π©π» Perfect for beginners at #EuroSciPy2025! π
https://t.co/IjqI0qy1Ws
#Python #Reproducibility #OpenScience
euroscipy.org
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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! π https://t.co/UH44l20l04 Share Faster! #BigData #RemoteAccess #Performance
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#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
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For those who could not attend, the recording of our webinar, "A Gentle Introduction to Cat2Cloud," is now available! https://t.co/loSOuw9Oh0 If interested, remember that the subscription to our beta program is currently open! Compress Better, Compute Bigger, Share Faster!
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π£οΈ Announcing Python-Blosc2 3.5.1 πThis 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
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Struggling with slow I/O in #HDF5? Try #Blosc2 as a filter or I/O data handler β faster data, less pain! π https://t.co/XnT6BLXNma
#Performance #DataScience
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Looking forward to meet folks for an exciting tutorial on efficient compression, large computations and other musings. See you in Krakow!
π’ Hands-on #EuroSciPy2025 Tutorial: Compress, Compute, Conquer! with @FrancescAlted + Luke Shaw! π Learn to process datasets 100x bigger than RAM using Python-Blosc2's new compute engine. π§ 90 minutes of big-data magic. ποΈ https://t.co/IjqI0qy1Ws
#Python #DataScience #HPC
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π’ Hands-on #EuroSciPy2025 Tutorial: Compress, Compute, Conquer! with @FrancescAlted + Luke Shaw! π Learn to process datasets 100x bigger than RAM using Python-Blosc2's new compute engine. π§ 90 minutes of big-data magic. ποΈ https://t.co/IjqI0qy1Ws
#Python #DataScience #HPC
euroscipy.org
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π Excited to announce our first keynote at #EuroSciPy2025: Anna LΓΌhrs β Deputy Lead @ JSC and co-founder of JuWinHPC! Sheβs championing diversity in HPC through action. Donβt miss her talk: π£οΈ βWomen in HPC β Breaking Barriers and Shaping the Futureβ ποΈ
euroscipy.org
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