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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

Summary

In this chapter, we started having a more in-depth look at Julia, with a more detailed discussion of various scalar, vector, and matrix data types comprising integer, real numbers, characters, and strings, as well as the operations acting on them.

We then moved on to data types such as rational numbers, big integers, floats, and complex numbers.

We also looked at arithmetic functions, comparing the use of recursive and non-recursive definitions.

Finally, we looked at some complex data structures such as data arrays and data frames, dictionaries and sets, and stacks and queues.

The next chapter follows on by expanding our survey of Julia functions to accommodate passing variable arguments and then considering the type system in greater detail, defining composite data structures, implicit and explicit variable assignment, and the use of parametrization.

You have been reading a chapter from
Mastering Julia - Second Edition
Published in: Jan 2024
Publisher: Packt
ISBN-13: 9781805129790
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