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UID:pretalx-euroscipy-2026-CQHPYG@pretalx.com
DTSTART;TZID=CET:20260720T160000
DTEND;TZID=CET:20260720T163000
DESCRIPTION:Python has become the most widely used language in scientific c
 omputing and data science due to its approachable syntax\, vast ecosystem 
 of libraries\, and rapid prototyping capabilities. However\, its interpret
 ed nature often poses a performance bottleneck for computationally intensi
 ve tasks common in High Performance Computing (HPC) used in scientific and
  data work\, such as large-scale simulations\, complex data analysis\, and
  machine learning model training. \n\nEnhancing Python's performance\, the
 refore\, is critical for scientific computing: it allows researchers and e
 ngineers to maintain the productivity and flexibility of the Python enviro
 nment while achieving the necessary speed and scalability to tackle demand
 ing\, real-world HPC problems without needing to switch to lower-level lan
 guages entirely.
DTSTAMP:20260603T195654Z
LOCATION:Room 1.19 (Ground Floor\, Shannon)
SUMMARY:Rust for High Performance Computing (HPC) in Python - Cheuk Ting Ho
URL:https://pretalx.com/euroscipy-2026/talk/CQHPYG/
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