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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

Working with Data

In many of the examples we have looked at so far, the data we’ve used was a little artificial, being generated using random numbers. It is now time to consider how Julia uses data held in files. In this chapter, I’m going to concentrate on simple disk-based files and leave discussions of data stored in databases and on the web for later chapters.

We will examine various statistical approaches in Julia, including both the methods integrated into Julia Core and those found in the increasing selection of packages that deal with statistics and related subjects.

Specifically, this chapter will cover the following topics:

  • Basic terminal input/output (I/O)
  • Handling text and binary files
  • Structured datasets
  • Time series
  • DataFrames
  • Simple statistics

We’ll begin by discussing basic I/O.

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