Mastering Julia : enhance your analytical and programming skills for data modeling and processing with Julia / Malcolm Sherrington.

Format:

Book

Author/Creator:

Sherrington, Malcolm, author.

Language:

English

Subjects (All):

Julia (Computer program language).

Programming languages (Electronic computers).

Numerical analysis--Data processing.

Numerical analysis.

Physical Description:

1 online resource (506 pages) : illustrations

Edition:

Second edition.

Place of Publication:

Birmingham, UK : Packt Publishing Ltd., [2024]

Biography/History:

Sherrington Malcolm: 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.

Summary:

Julia is a well-constructed programming language which was designed for fast execution speed by using just-in-time LLVM compilation techniques, thus eliminating the classic problem of performing analysis in one language and translating it for performance in a second. This book is a primer on Julia's approach to a wide variety of topics such as scientific computing, statistics, machine learning, simulation, graphics, and distributed computing. Starting off with a refresher on installing and running Julia on different platforms, you'll quickly get to grips with the core concepts and delve into a discussion on how to use Julia with various code editors and interactive development environments (IDEs). As you progress, you'll see how data works through simple statistics and analytics and discover Julia's speed, its real strength, which makes it particularly useful in highly intensive computing tasks. You'll also and observe how Julia can cooperate with external processes to enhance graphics and data visualization. Finally, you will explore metaprogramming and learn how it adds great power to the language and establish networking and distributed computing with Julia. By the end of this book, you'll be confident in using Julia as part of your existing skill set.

Contents:

Chapter 1: The Julia Environment

Chapter 2: Developing in Julia

Chapter 3: The Julia Type System

Chapter 4: The Three Ms

Chapter 5: Interoperability

Chapter 6: Working with Data

Chapter 7: Scientific Programming

Chapter 8: Visualization

Chapter 9: Database Access

Chapter 10: Networks and Multitasking

Chapter 11: Julia's Back Pages.

Notes:

Includes index.

OCLC-licensed vendor bibliographic record.

ISBN:

9781805128236

180512823X

OCLC:

1419373810