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xray: N D Labeled Arrays and Datasets | SciPy 2015 | Stephan Hoyer
PyEDA Data Structures and Algorithms for Electronic Design Automation | SciPy 2015 | Chris Drake
Blaze + Odo | SciPy 2015 | Phillip Cloud
Computational Statistics I | SciPy 2015 Tutorial | Allen Downey
Parallel Data Analysis in Python | SciPy 2017 Tutorial | Matthew Rocklin, Ben Zaitlen & Aron Ahmadia
Legate Numpy: Accelerated and Distributed Array Computing |SciPy 2020| Michael Bauer
Striplog Wrangling 1D Subsurface Data | SciPy 2015 | Matt Hall
Handy Parallel (Distributed) Computing in Python (PyCon APAC 2014)
klepto Unified Persistent Storage to Memory, Database, or Disk | SciPy 2015 | Michael McKerns
Python and Riak DB, a perfect couple for huge scale distributed computing - PyCon India 2015
Parallelizing Scientific Python with Dask | SciPy 2017 Tutorial | James Crist
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Last Updated: October 31, 2026
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Dask is a library for scaling and parallelizing Tutorial materials found here: scipy2017. ... of doing that with machine learning uh I basically just built this what I call lexicon it's basically just a a Speaker: Liang Bo Wang We all start our programming with single process in mind. But parallelization from scratch is a real ... Speaker: Naren A hands-on guide for working with both
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