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Docker for Data Science: Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server book cover by Joshua Cook
Paperback

Docker for Data Science: Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server

by Joshua Cook

$52.79 / copy at 25+ copies As low as $51.59 at 100+Your best volume price

Paperback · 257 pages Apress · 2017

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Paperback
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About the book

Docker for Data Science

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. 

As a solution to this problem, Docker for Data Science proposes using Docker. You will learn how to use existing pre-compiled public images created by the major open-source technologies—Python, Jupyter, Postgres—as well as using the Dockerfile to extend these images to suit your specific purposes. The Docker-Compose technology is examined and you will learn how it can be used to build a linked system with Python churning data behind the scenesand Jupyter managing these background tasks. Best practices in using existing images are explored as well as developing your own images to deploy state-of-the-art machine learning and optimization algorithms.

What  You'll Learn 
  • Master interactive development using the Jupyter platform
  • Run and build Docker containers from scratch and from publicly available open-source images
  • Write infrastructure as code using the docker-compose tool and its docker-compose.yml file type
  • Deploy a multi-service data science application across a cloud-based system

Who This Book Is For

Data scientists, machine learning engineers, artificial intelligence researchers, Kagglers, and software developers



The book, Docker for Data Science: Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server [Bulk, Wholesale, Quantity] ISBN#9781484230114 in Paperback by Joshua Cook may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Publisher
Apress
Author
Joshua Cook
Format
Paperback
Published
Aug 25, 2017
ISBN-13
9781484230114
Pages
257
Printing
Printed on demand
Buying for a group

Docker for Data Science in bulk: pricing

Volume pricing applies automatically in your cart. No codes, no account needed.

CopiesPrice per copyYou save
25 – 49 $52.79 12% off list
50 – 99 $52.19 13% off list
100+ $51.59 14% off list
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