A Complete Guide to Docker for Operations and Development : Test-Prep for the Docker Certified Associate (DCA) Exam / / by Engy Fouda
| A Complete Guide to Docker for Operations and Development : Test-Prep for the Docker Certified Associate (DCA) Exam / / by Engy Fouda |
| Autore | Fouda Engy |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2022 |
| Descrizione fisica | 1 online resource (199 pages) : illustrations |
| Disciplina | 005.3 |
| Soggetto topico |
Application software - Development
Application software - Development - Computer programs |
| ISBN |
9781484281178
1484281179 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part 1: Docker Fundamentals -- Chapter 1: An introduction to SD-WAN -- Chapter 2: Installation and Configuration -- Chapter 3: Image and Containers Creation, Management, and Registry -- Chapter 4: Storage and Volumes -- Chapter 5: Deploying vBond -- Chapter 6: Docker Enterprise Edition/Mirantis Kubernetes Edition installation. Chapter 7: Universal Control Plane (UCP) -- Chapter 8: Docker Trusted Registry (DTR) -- Chapter 9: Microservices -- Chapter 10: Orchestration -- Chapter 11: Security, RBAC, and DCT -- Chapter 12: DCA exam guide -- Part 2: Exam Prep Quizzes -- Chapter 13: Orchestration Quiz -- Chapter 14: Image Creation, Management, and Registry Quiz -- Chapter 15:Installation and Configuration Quiz -- Capter 16: Networking Quiz -- Chapter 17: Security Quiz -- Chapter 18: Storage and Volumes Quiz. . |
| Record Nr. | UNINA-9910568245303321 |
Fouda Engy
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Learn Data Science Using Python : A Quick-Start Guide / / by Engy Fouda
| Learn Data Science Using Python : A Quick-Start Guide / / by Engy Fouda |
| Autore | Fouda Engy |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2024 |
| Descrizione fisica | 1 online resource (190 pages) |
| Disciplina | 005.7 |
| Soggetto topico |
Artificial intelligence - Data processing
Artificial intelligence Machine learning Python (Computer program language) Data Science Artificial Intelligence Machine Learning Python |
| ISBN | 9798868809354 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Data Science in Action -- Chapter 2: Getting Started -- Chapter 3: Data Visualization -- Chapter 4: Statistical Analysis and Linear Models -- Chapter 5: Advanced Data Pre-processing and Feature Engineering -- Chapter 6: Preparing Data for Analysis -- Chapter 7: Regression. |
| Record Nr. | UNINA-9910908372803321 |
Fouda Engy
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2024 | ||
| Lo trovi qui: Univ. Federico II | ||
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Learn data science using SAS Studio : a quick-start guide / / Engy Fouda
| Learn data science using SAS Studio : a quick-start guide / / Engy Fouda |
| Autore | Fouda Engy |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | [Place of publication not identified] : , : APress, , [2020] |
| Descrizione fisica | 1 online resource (XVII, 226 p. 206 illus.) |
| Disciplina | 519.502855369 |
| Soggetto topico |
SAS (Computer program language)
Big data Data mining |
| ISBN | 1-4842-6237-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part 1: Basics -- Chapter 1: Data Science in Action -- Chapter 2: Getting Started -- Chapter 3: Data Visualization -- Part 2: More Programming -- Chapter 4: Statistical Analysis and Linear Models -- Chapter 5: Advanced Data Preprocessing -- Chapter 6: Preparing Data for Analysis -- Part 3: Advanced Topics -- Chapter 7: Regression -- Chapter 8: SAS Visual Statistics – Viya -- Chapter 9: What Is Next? -- Appendix: Resources -- . |
| Record Nr. | UNINA-9910427051803321 |
Fouda Engy
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| [Place of publication not identified] : , : APress, , [2020] | ||
| Lo trovi qui: Univ. Federico II | ||
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