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Learning Julia

You're reading from   Learning Julia Build high-performance applications for scientific computing

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781785883279
Length 316 pages
Edition 1st Edition
Languages
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Authors (2):
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Rahul Lakhanpal Rahul Lakhanpal
Author Profile Icon Rahul Lakhanpal
Rahul Lakhanpal
Anshul Joshi Anshul Joshi
Author Profile Icon Anshul Joshi
Anshul Joshi
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Table of Contents (11) Chapters Close

Preface 1. Understanding Julia's Ecosystem FREE CHAPTER 2. Programming Concepts with Julia 3. Functions in Julia 4. Understanding Types and Dispatch 5. Working with Control Flow 6. Interoperability and Metaprogramming 7. Numerical and Scientific Computation with Julia 8. Data Visualization and Graphics 9. Connecting with Databases 10. Julia’s Internals

Preface

Julia is a high-level, high-performance, dynamic programming language for numerical computing. It offers a unique combination of performance and productivity that promises to change scientific computing and programming. Julia was created to solve the dilemma between high-level, slow code and fast but low-level code, and the necessity to use both to achieve high-performance. It also puts performance center stage, achieving C-like execution speed and excellent applications in multicore, GPU, and cloud computing.

This book demonstrates the basics of Julia along with some data structures and testing tools that will give you enough material to get started with the language from an application standpoint. You will learn and take advantage of Julia while building applications with complex numerical and scientific computations. Through the journey of this book, you will explore the technical aspects of Julia and its potential when it comes to speed and data processing. Also, you will learn to write efficient and high quality code in Julia.

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