Francesc Alted
where else to find them
website:https://ironarray.io
github:FrancescAlted
bluesky:francescalted.bsky.social
mastodon:@FrancescAlted@masto.social
linkedin:francesc-alted-74a7481
what they talk about
all 5 in the filters
where they keep going back
- PyData Global2 editions2023–2024
all 6 in the filters
on a stage with
who talks about the same things
- Itamar Turner Trauring11 talks
- Matthew Rocklin13 talks
- Andy Terrel11 talks
- Dharhas Pothina5 talks
- Lu Qiu13 talks
- Ian Ozsvald17 talks
| title | conference | date |
|---|---|---|
| Mastering Large NDArray Handling with Blosc2 and Caterva2 | PyData Global 2024 | 2024-12-03 |
Blosc2 is a compression format and library for large NDArrays that shows concrete results: a 10,000×10,000 array (100 million elements) compresses to a few… | ||
| Btune: Making Compression Better | PyData Global 2023 | 2023-12-06 |
Btune is a dynamic plugin for Blosc2 that finds codec and parameter combinations by running a Btune genetic mode search and optional neural‑network inference… | ||
| Blosc2: Fast And Flexible Handling Of N-Dimensional and Sparse Datasets | PyData Global 2023 | 2023-12-06 |
Blosc2 is a C and Python library plus a simple container format that claims up to 5–8× faster slicing via a double data partition and extreme compression (an 8… | ||
| Improve the efficiency of your Big Data.. | PyData New York City 2019 | 2019-11-04 |
Claims that operating on compressed arrays yields real speed and memory wins: a 22 GB Central‑Europe precipitation dataset on an 8‑vCPU VM shows about 2×… | ||
| Squeeze (gently) your data | PyData Barcelona 2017 | 2017-05-19 |
Filmed at PyData Barcelona 2017
https://pydata.org/barcelona2017/schedule/presentation/34/
www.pydata.org
PyData is an educational program of NumFOCUS, a… | ||
| New Computer Trends and How This Affects Us | PyData Madrid 2016 | 2016-03-12 |
Claims that CPU‑level compression plus blocking beats raw I/O by reducing transferred bytes and fitting decompression into CPU latency budgets, with examples… | ||
| Using Containers for Big Data | PyData Madrid 2016 | 2016-03-12 |
Overview of Python data containers for big data storage and processing, comparing in-memory and on-disk options. Covers basic types (lists, dicts), NumPy… | ||
| New Trends In Storing Large Data Silos With Python | EuroPython 2015 | 2015-07-20 |
Overview of concrete claims and results: bcolz ctable is a chunked, columnar container and carray handles homogeneous multidimensional data, enabling appends… | ||
| Data Oriented Programming | PyData Berlin 2014 | 2014-07-25 |
Claim: CPU cycles are cheap but memory access is the bottleneck, so optimizing data layout beats naive parallelism. Examples and numbers: numpy 1.6s ->… | ||
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