YoVDO

How We Sped Up NumPy's String Operations for NumPy 2.0

Offered By: EuroPython Conference via YouTube

Tags

NumPy Courses Python Courses Scientific Computing Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the performance improvements and internal changes made to NumPy's string operations for the 2.0 release in this 26-minute EuroPython Conference talk. Dive deep into NumPy ufunc internals, learning about topics such as NumPy (parametric) dtypes and type promotion. Follow the timeline of changes that led to significant performance enhancements, and gain insights into the extensive work behind the first major NumPy release since 2006. Discover the new features, API modifications, and documentation improvements that accompany the optimized string operations in NumPy 2.0.0.

Syllabus

How we sped up NumPy’s string operations for NumPy 2.0 — Lysandros Nikolaou


Taught by

EuroPython Conference

Related Courses

Scientific Computing
University of Washington via Coursera
Biology Meets Programming: Bioinformatics for Beginners
University of California, San Diego via Coursera
High Performance Scientific Computing
University of Washington via Coursera
Practical Numerical Methods with Python
George Washington University via Independent
Julia Scientific Programming
University of Cape Town via Coursera