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Название: Docker for Data Science : Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server
Год: 2017
Издатель: Apress
Язык: english
Кол-во страниц: 249
Формат: PDF
Описание:
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. The set may not fit well into access memory or may require prohibitively long processing. These are significant challenges to skilled software engineers and they can render the standard Jupyter system unusable.
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Для просмотра ссылки Войдиили Зарегистрируйся
Название: Docker for Data Science : Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server
Год: 2017
Издатель: Apress
Язык: english
Кол-во страниц: 249
Формат: PDF
Описание:
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. The set may not fit well into access memory or may require prohibitively long processing. These are significant challenges to skilled software engineers and they can render the standard Jupyter system unusable.
Скачать
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