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UID:pretalx-scipy-2026-GRTY3K@pretalx.com
DTSTART;TZID=CST:20260714T080000
DTEND;TZID=CST:20260714T120000
DESCRIPTION:Python has become the dominant language in scientific computing
 \, even in domains that demand high performance. This is largely due to th
 e power of array-oriented programming\, which separates complex problems i
 nto two parts: lightweight bookkeeping and heavy numerical computation. Th
 e latter is handled efficiently by vectorized operations that rely on fast
 \, precompiled libraries.\n\nThis tutorial introduces array-oriented progr
 amming as a distinct mindset that encourages new ways of structuring probl
 ems. Rather than focusing on any one library\, we’ll cover general techn
 iques that apply to any array library with a particular focus on NumPy and
  JAX. You'll work in groups on four class projects: Conway's Game of Life 
 using arrays\, iterative computations on arrays\, just-in-time (JIT) compi
 lation for the Mandelbrot set\, and exploring data in ragged arrays. This 
 tutorial focuses on the thought process: all of the problems are to be sol
 ved in an imperative way (for loops) and an array-oriented way.
DTSTAMP:20260622T110106Z
LOCATION:Intro
SUMMARY:Thinking in Arrays - Iason Krommydas\, Jim Pivarski
URL:https://pretalx.com/scipy-2026/talk/GRTY3K/
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