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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

Product type Paperback

Published in Jan 2024

Publisher Packt

ISBN-13 9781805129790

Length 506 pages

Edition 2nd Edition

Languages

Julia

Concepts

Programming Language

Author (1):

Malcolm Sherrington

View More author details

Table of Contents (14) Chapters

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

Why subscribe?

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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Authors (1)

Malcolm Sherrington

Malcolm Sherrington

Dr Malcolm Sherrington has been working in computing for over 35 years. He holds degrees in Mathematics, Chemistry and Engineering and has lectured at two separate universities in the UK as well as working in the Aerospace and Healthcare Industries. Currently he is running his own company working in the Finance sector, with specific interests in High Performance Computing and applications of GPUs and parallelism. Always hands-on, Malcolm started programming scientific problems in Fortran and C, progressing thorough Ada and Common Lisp and recently became involved with data processing and analytics in Perl, Python and R. Malcolm is the organizer of the London Julia User Group, as well as a co-organizer of the UK - High Performance Computing and the Financial Engineers and Quants London meetup groups.

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