Harness the power of multiple computers using Python through this fast-paced informative guideAbout This Book- You'll learn to write data processing programs in Python that are highly available, reliable, and fault tolerant- Make use of Amazon Web Services along with Python to establish a powerful r
Distributed Computing with Python
β Scribed by Pierfederici, Francesco
- Publisher
- Packt Publishing
- Year
- 2016
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Subjects
ΠΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠ°;ΠΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½Π°Ρ Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΠ°;Python;
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Key Features You'll learn to write data processing programs in Python that are highly available, reliable, and fault tolerant Make use of Amazon Web Services along with Python to establish a powerful remote computation system Train Python to handle data-intensive and resource hungry applications Boo
<h4>Key Features</h4><ul><li>You'll learn to write data processing programs in Python that are highly available, reliable, and fault tolerant</li><li>Make use of Amazon Web Services along with Python to establish a powerful remote computation system</li><li>Train Python to handle data-intensive and
Unlock the Power of Parallel Python with Dask: A Perfect Learning Guide for Aspiring Data Scientists Dask has revolutionized parallel computing for Python, empowering data scientists to accelerate their workflows. This comprehensive guide unravels the intricacies of Dask to help you harness its c
Implement effective programming techniques in Python to build scalable software that saves time and memory Key Features β’ Design distributed computing systems and massive computational tasks coherently β’ Learn practical recipes with concise explanations that address development pain points enco