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SUMMARY:Hands-on with Blosc2: Accelerating Your Python Data Workflows - Fr
 ancesc Alted\, Luke Shaw
DTSTART:20251210T133000Z
DTEND:20251210T150000Z
DTSTAMP:20261006T033840Z
UID:pretalx-pydataglobal2025-UXHBEZ@cfp.pydata.org
DESCRIPTION:As datasets grow\, I/O becomes a primary bottleneck\, slowing 
 down scientific computing and data analysis. This tutorial provides a hand
 s-on introduction to Blosc2\, a powerful meta-compressor designed to turn 
 I/O-bound workflows into CPU-bound ones. We will move beyond basic compres
 sion and explore how to structure data for high-performance computation.\n
 \nParticipants will learn to use the python-blosc2 library to compress and
  decompress data with various codecs and filters\, optimizing for speed an
 d ratio. The core of the tutorial will focus on the Blosc2 NDArray object
 \, a chunked\, N-dimensional array that lives on disk or in memory. Throug
 h a series of interactive exercises\, you will learn how to perform out-of
 -core mathematical operations and analytics directly on compressed arrays
 \, effectively handling datasets larger than available RAM.\n\nWe will als
 o cover practical topics like data storage backends\, two-level partitioni
 ng for faster data slicing\, and how to integrate Blosc2 into existing Num
 Py-based workflows. You will leave this session with the practical skills 
 needed to significantly accelerate your data pipelines and manage massive 
 datasets with ease.
LOCATION:General Track
URL:https://cfp.pydata.org/pydataglobal2025/talk/UXHBEZ/
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