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Google Cloud for Developers

You're reading from   Google Cloud for Developers Write, migrate, and extend your code by leveraging Google Cloud

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781837630745
Length 364 pages
Edition 1st Edition
Languages
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Authors (2):
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Hector Parra Martinez Hector Parra Martinez
Author Profile Icon Hector Parra Martinez
Hector Parra Martinez
Isaac Hernández Vargas Isaac Hernández Vargas
Author Profile Icon Isaac Hernández Vargas
Isaac Hernández Vargas
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Table of Contents (20) Chapters Close

Preface 1. Part 1: Foundations of Developing for Google Cloud
2. Chapter 1: Choosing Google Cloud FREE CHAPTER 3. Chapter 2: Modern Software Development in Google Cloud 4. Chapter 3: Starting to Develop on Google Cloud 5. Part 2: Basic Google Cloud Services for Developers
6. Chapter 4: Running Serverless Code on Google Cloud – Part 1 7. Chapter 5: Running Serverless Code on Google Cloud – Part 2 8. Chapter 6: Running Containerized Applications with Google Kubernetes Engine 9. Chapter 7: Managing the Hybrid Cloud with Anthos 10. Part 3: Extending Your Code – Using Google Cloud Services and Public APIs
11. Chapter 8: Making the Best of Google Cloud Networking 12. Chapter 9: Time-Saving Google Cloud Services 13. Chapter 10: Extending Applications with Google Cloud Machine Learning APIs 14. Part 4: Connecting the Dots –Building Hybrid Cloud Solutions That Can Run Anywhere
15. Chapter 11: Architecture Patterns for Hybrid and Multi-Cloud Solutions 16. Chapter 12: Practical Use Cases of Google Cloud in Real-World Scenarios 17. Chapter 13: Migration Pitfalls, Best Practices, and Useful Tips 18. Index 19. Other Books You May Enjoy

Cloud Natural Language

Cloud Natural Language can help us analyze and understand the contents of a text file. We may not even know which language that text is written in, and the Natural Language API will detect it for us and provide that information as part of its response.

Note

Please take into account that while the list is constantly growing, not all languages are supported for all functions. You can find an up-to-date list at the following URL: https://cloud.google.com/natural-language/docs/languages. I also added this address to the Further reading section, so you can always have it to hand.

Once our text is ready, there are five different types of analysis that we can run on all or part of the contents of a text file:

  • Content classification: This analyzes the provided text and assigns it a content category.
  • Syntactic analysis: This breaks up the text into sentences and tokens and provides additional details about each of them.
  • Entity analysis: This detects...
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