Python for High Performance and Scientific Computing
Offered By: EuroPython Conference via YouTube
Course Description
Overview
Explore advanced techniques for leveraging Python in high-performance and scientific computing environments during this 49-minute EuroPython 2011 conference talk. Delve into strategies for optimizing Python code, utilizing parallel processing, and integrating with scientific libraries to enhance computational efficiency. Gain insights from speaker Andreas Schreiber as he shares best practices and tools for tackling complex scientific problems using Python's powerful ecosystem.
Syllabus
Python for High Performance and Scientific Computing
Taught by
EuroPython Conference
Related Courses
Scientific ComputingUniversity 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