Search Results for "EuroSciPy 2017: Tricks for Efficient Multicore Computing"

EuroSciPy 2017: Tricks for Efficient Multicore Computing

EuroSciPy 2017: The OpenTURNS uncertainty quantification Python module

EuroSciPy 2017: Autoscaling distributed compute with Dask, Kubernetes and AWS

EuroSciPy 2017: nbval - Testing your notebooks

EuroSciPy 2017: Lightning Talks

EuroSciPy 2017: Fully Convolutional Networks for Image Segmentation

GE AXIS Multicore and Multiprocessing Productivity Software

EuroSciPy Advanced Session - CFFI, Ctypes, Cython: the Good, the Bad and the Ugly

EuroSciPy 2019 Bilbao - Histogram-based Gradient Boosting in scikit-learn 0.21 - Olivier Grisel

PyCon.DE 2017 Keynote Matthew Rocklin - Dask: Next Steps in Parallel Python

Keynote. Dr. Steven Lee | JuliaCon 2019

Jeff Reback - What is the Future of Pandas