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1. Handy Parallel (Distributed) Computing in Python (PyCon APAC 2014)
Speaker: Liang Bo Wang We all start our programming with single process in mind. But parallelization from scratch is a real ...
2. 25 Handy Parallel Distributed Computing in Python PyCon APAC 2014
Informasi selengkapnya mengenai 25 Handy Parallel Distributed Computing in Python PyCon APAC 2014. Silakan unduh atau baca konten berikut.
3. Designing a Python-integrated query language for distributed computing (PyCon APAC 2014)
Speaker: Jiwon Seo
4. Lewis Franklin: Distributed Computing Is Hard, Lets Go Shopping - PyCon 2014
Speaker: Lewis Franklin
5. Data Analysis in Python (PyCon APAC 2014)
Speaker: Wei-Ting Kuo
6. Fernando Perez: IPython in depth: high productivity interactive and parallel python - PyCon 2014
Speaker: Fernando Perez "IPython provides tools for interactive and
7. Skipper Seabold | Using Dask for Parallel Computing in Python
PyData Chicago 2016 Dask is a relatively new library for
8. Kevin Ballard: Pushing Python: Building a High Throughput, Low Latency System - PyCon 2014
Speaker: Kevin Ballard Taba is a
9. Ian Huston - Massively Parallel Processing with Procedural Python
github.com/ihuston/plpython_examples ...
10. Pycon2014 Taipei - Designing a Python-Integrated Query Language for Distributed Computing
Designing a
11. Mike McKerns - Efficient Python for High-Performance Parallel Computing - PyCon 2016
Speaker: Mike McKerns This tutorial is targeted at the intermediate-to-advanced
12. High-Performance Computing with Python: Interactive parallel computing with IPython Parallel
The Swiss National Supercomputing Centre is pleased to announce that the "High-Performance
13. Working with multiple hands: Parallel and Distributed Programming
Working with multiple hands:
Handy Parallel Distributed Computing In Python Pycon Apac 2014 Information Guide
Introduction to Handy Parallel Distributed Computing In Python Pycon Apac 2014
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