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.

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Spis treści

Mastering Julia. Enhance your analytical and programming skills for data modeling and processing with Julia - Second Edition eBook -- spis treści

• 1. The Julia Environment
• 2. Developing in Julia
• 3. Types and Dispatch
• 4. The Three Ms
• 5. Interoperability
• 6. Working with Data
• 7. Scientific Programming
• 8. Graphics
• 9. Databases
• 10. Machine Learning
• 11. Working with Julia