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Mastering Julia
Mastering Julia

Mastering Julia: Enhance your analytical and programming skills for data modeling and processing with Julia , Second Edition

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Profile Icon Malcolm Sherrington
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AU$24.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (3 Ratings)
Paperback Jan 2024 506 pages 2nd Edition
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AU$44.99 AU$50.99
Paperback
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Arrow left icon
Profile Icon Malcolm Sherrington
Arrow right icon
AU$24.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (3 Ratings)
Paperback Jan 2024 506 pages 2nd Edition
eBook
AU$44.99 AU$50.99
Paperback
AU$63.99
Subscription
Free Trial
Renews at AU$24.99p/m
eBook
AU$44.99 AU$50.99
Paperback
AU$63.99
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Free Trial
Renews at AU$24.99p/m

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Mastering Julia

Developing in Julia

Julia is a feature-rich language. It was designed to appeal to novice programmers and purists alike. For those whose interests lie in data science, statistics, and mathematical modeling, Julia is well-equipped to meet all their needs.

Our aim is to furnish you with the necessary knowledge to begin programming in Julia almost immediately. So, rather than begin with an overview of the language’s syntax, control structures, and the like, we will introduce Julia’s facets gradually over the rest of this book. Over the next four chapters, we will look at some of the basic and advanced features of the Julia core. Many of the features—such as graphics and database access, which are implemented via the package system—will be left until later when discussing more specific aspects of programming Julia.

In this chapter, we will be discussing manipulating Julia’s data structures and will cover the following topics:

  • Data types such as integers and floating-point and complex numbers
  • Vectors, matrices, and multi-dimensional arrays
  • List comprehensions and broadcasting
  • Recursive functions
  • Characters and strings
  • Complex and rational numbers
  • Data arrays and data frames
  • Dictionaries, sets, stacks, and queues

If you are familiar with programming in Python, R, MATLAB, and so on, you will not find the journey terribly arduous; in fact, we believe it will be a particularly pleasant one.

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Key benefits

  • Augment your basic computing skills with an in-depth introduction to Julia
  • Focus on topic-based approaches to scientific problems and visualisation
  • Build on prior knowledge of programming languages such as Python, R, or C/C++
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

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.

Who is this book for?

This book is not an introduction to computer programming, but a practical guide for developers who want to enhance their basic knowledge of Julia, or those wishing to augment their skill set by adding Julia to their existing roster of programming languages. Familiarity with a scripting language such as Python or R, or a compiled language such as C/C++, C# or Java, is a prerequisite.

What you will learn

  • Develop simple scripts in Julia using the REPL, code editors, and web-based IDEs
  • Get to grips with Julia's type system, multiple dispatch, metaprogramming, and macro development
  • Interact with data files, tables, data frames, SQL, and NoSQL databases
  • Delve into statistical analytics, linear programming, and optimization problems
  • Create graphics and visualizations to enhance modeling and simulation in Julia
  • Understand Julia's main approaches to machine learning, Bayesian analysis, and AI

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jan 19, 2024
Length: 506 pages
Edition : 2nd
Language : English
ISBN-13 : 9781805129790
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Product Details

Publication date : Jan 19, 2024
Length: 506 pages
Edition : 2nd
Language : English
ISBN-13 : 9781805129790
Category :
Languages :

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Table of Contents

13 Chapters
Chapter 1: The Julia Environment Chevron down icon Chevron up icon
Chapter 2: Developing in Julia Chevron down icon Chevron up icon
Chapter 3: The Julia Type System Chevron down icon Chevron up icon
Chapter 4: The Three Ms Chevron down icon Chevron up icon
Chapter 5: Interoperability Chevron down icon Chevron up icon
Chapter 6: Working with Data Chevron down icon Chevron up icon
Chapter 7: Scientific Programming Chevron down icon Chevron up icon
Chapter 8: Visualization Chevron down icon Chevron up icon
Chapter 9: Database Access Chevron down icon Chevron up icon
Chapter 10: Networks and Multitasking Chevron down icon Chevron up icon
Chapter 11: Julia’s Back Pages Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3
(3 Ratings)
5 star 66.7%
4 star 0%
3 star 33.3%
2 star 0%
1 star 0%
Balaji Kothandaraman Feb 25, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Mastering Julia - Second Edition” is a comprehensive guide that empowers readers to enhance their analytical and programming skills using the Julia language. With updated insights and practical examples, this book covers a wide range of topics, from data modeling to high-performance computing. Whether you’re a beginner or an experienced user, this resource offers valuable insights and techniques for leveraging Julia effectively in data analysis and processing tasks.
Amazon Verified review Amazon
Stergios Papadimitriou May 31, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book "Mastering Julia" is well written and it covers comprehensively the fundamentals of the Julia language. Julia is a relatively new language for technical computing that introducing a lot of novel features and it is extremely fast producing code competent with optimized C/C++. And it achieves this even being very high level with a fluent convenient syntax. I strongly recommend the book to all Amazon readers that want to either learn or to further improve their skills on the superb Julia language.
Amazon Verified review Amazon
Bookworm Oct 11, 2024
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
The book is riddled with errors and typos, which is surprising for a second edition. The author’s writing style is convoluted and difficult to follow. Additionally, the organization of topics and overall flow are poorly structured. Coverage of some of the topics is superficial at best. For new or novice coders, this book will likely cause significant frustration due to the time wasted trying to decipher confusing sentences and mismatched code examples and outputs.
Amazon Verified review Amazon
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