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Mastering Julia

You're reading from   Mastering Julia Enhance your analytical and programming skills for data modeling and processing with Julia

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781805129790
Length 506 pages
Edition 2nd Edition
Languages
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Author (1):
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Malcolm Sherrington Malcolm Sherrington
Author Profile Icon Malcolm Sherrington
Malcolm Sherrington
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Table of Contents (14) Chapters Close

Preface 1. Chapter 1: The Julia Environment 2. Chapter 2: Developing in Julia FREE CHAPTER 3. Chapter 3: The Julia Type System 4. Chapter 4: The Three Ms 5. Chapter 5: Interoperability 6. Chapter 6: Working with Data 7. Chapter 7: Scientific Programming 8. Chapter 8: Visualization 9. Chapter 9: Database Access 10. Chapter 10: Networks and Multitasking 11. Chapter 11: Julia’s Back Pages 12. Index 13. Other Books You May Enjoy

Database Access

In Chapter 6, Working with Data, we looked at working with data that is stored in disk files: we looked at plain text files and also datasets taking the form of R data files, CSV, HDF5, and so on.

In this chapter, we will consider data stored in databases but will exclude the “big data” data repositories as networking and remote working are the subjects of the next chapter.

There are several databases of various hues, and as it will not be possible to deal with all that Julia currently embraces, we will pick one specific example for each category as they arise.

Specifically, we will look at the following topics:

  • Relational databases and SQL queries
  • NoSQL databases
  • The REpresentational State Transfer (REST) API
  • The Queryverse

This chapter doesn’t intend to delve into the workings of the various databases or to set up any complex queries, nor to go in-depth into any of the available packages in Julia.

All we...

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