Performance Python for Numerical Algorithms

Offered By: EuroPython Conference via YouTube

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!

Explore various approaches to implement high-performing numerical algorithms and applications in Python in this 48-minute conference talk from EuroPython 2014. Dive into techniques such as vectorization, multi-threading, parallelization (CPU/GPU), dynamic compiling, and high throughput IO operations. Gain practical insights through specific Python examples utilizing libraries like NumPy, numexpr, IPython.Parallel, Numba, NumbaPro, and PyTables. Learn how to optimize your Python code for numerical computations and enhance overall performance in your projects.

Syllabus

Yves - Performance Python for Numerical Algorithms

Taught by

EuroPython Conference

Related Courses

Introduction to Programming for Musicians and Digital Artists
California Institute of the Arts via Coursera Introduction to Real-Time Audio Programming in ChucK
California Institute of the Arts via Kadenze The Complete Java Certification Course
Udemy Java In-Depth: Become a Complete Java Engineer!
Udemy Advanced Java programming with JavaFx: Write an email client
Udemy