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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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Toc

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

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

Symbols

@rget macro 184, 185

@rlibrary macro 187

A

abstract syntax tree (AST) 123

abstract types 10

Amazon Web Services (AWS) 2

application program interface (API) 348

ArgParse

using 443, 444

versus Getopt 444-446

arguments

default and optional arguments 89-92

keyword arguments 93, 94

passing 89

variable argument list 92, 93

arithmetic operators 44

array 46, 47

broadcast() function, using 47, 48

Atomicity, Consistency, Isolation, and Durability (ACID) 348

automatic differentiation (AD) 280-284

B

backends 324

GR 325

PlotlyJS 325

plots, saving with HDF5 327

PythonPlot 325, 326

Basel function 171-173

Basel problem 22-24

Berkeley Database (BDB) 372

big integers 45, 46

BigQuery 379

binary files 217, 218...

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