Docker for Data Science, 1st ed. Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server
Auteur : Cook Joshua
- 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
Teaches Docker principles with practical examples
Covers high-performance interactive computing with Jupyter
Presents a unique development method geared toward interactive computing
Date de parution : 08-2017
Ouvrage de 257 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 63,29 €
Ajouter au panierThèmes de Docker for Data Science :
Mots-clés :
Juypter; Docker; Docker Engine; Docker File; Juypter Docker Stacks; Docker Machine; Kaggle; Python