Docker for Data Science

Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server

Häftad, Engelska, 2017

859 kr

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Learn Docker "infrastructure as code" technology to define a system for performing standard but non-trivial data tasks on medium- to large-scale data sets, using Jupyter as the master controller. It is not uncommon for a real-world data set to fail to be easily managed.

Produktinformation

Utgivningsdatum2017-08-25
Mått155 x 235 x 20 mm
Vikt462 g
FormatHäftad
SpråkEngelska
Antal sidor257
Upplaga17001
FörlagAPress
ISBN9781484230114

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Operativsystem inom Data och IT
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Joshua Cook is a mathematician. He writes code in Bash, C, and Python and has done pure and applied computational work in geo-spatial predictive modeling, quantum mechanics, semantic search, and artificial intelligence. He also has 10 years experience teaching mathematics at the secondary and post-secondary level. His research interests lie in high-performance computing, interactive computing, feature extraction, and reinforcement learning. He is always willing to discuss orthogonality or to explain why Fortran is the language of the future over a warm or cold beverage.