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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

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

Unlocking the Secrets of Prompt Engineering

R$250.99

Interactive Visualization and Plotting with Julia

R$261.99

R$256.99

Total R$ 769.97

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Balaji Kothandaraman Feb 25, 2024

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

Stergios Papadimitriou May 31, 2024

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.

Bookworm Oct 11, 2024

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.

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

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