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Docker for Data Science : Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server / / by Joshua Cook
| Docker for Data Science : Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server / / by Joshua Cook |
| Autore | Cook Joshua |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2017 |
| Descrizione fisica | 1 online resource (XXI, 257 p. 97 illus., 76 illus. in color.) |
| Disciplina | 005.1 |
| Soggetto topico |
Big data
Artificial intelligence Open source software Computer programming Python (Computer program language) Big Data Artificial Intelligence Open Source Python |
| ISBN |
9781484230121
1484230124 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Introduction -- Chapter 2: Docker -- Chapter 3: Interactive Programming -- Chapter 4: Docker Engine -- Chapter 5: The Dockerfile -- Chapter 6: Docker Hub -- Chapter 7: The Opinionated Jupyter Stacks -- Chapter 8: The Data Stores -- Chapter 9: Docker Compose -- Chapter 10: Interactive Development. |
| Record Nr. | UNINA-9910254570903321 |
Cook Joshua
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine learning for planetary mining applications / / Joshua Cook, Jamshid Samareh
| Machine learning for planetary mining applications / / Joshua Cook, Jamshid Samareh |
| Autore | Cook Joshua |
| Pubbl/distr/stampa | Hampton, Virginia : , : National Aeronautics and Space Administration, Langley Research Center, , January 2020 |
| Descrizione fisica | 1 online resource (18 pages, 1 unnumbered page) : color illustrations |
| Collana | NASA/TM |
| Soggetto topico |
Robotics
Problem solving Controllers Mining Machine learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910712824103321 |
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Cook Joshua
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||
| Hampton, Virginia : , : National Aeronautics and Space Administration, Langley Research Center, , January 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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