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Performance Python for Numerical Algorithms

Offered By: EuroPython Conference via YouTube

Tags

EuroPython Courses Python Courses NumPy Courses Multi-Threading Courses Parallelization Courses

Course Description

Overview

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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

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