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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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Toc

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

What this book covers

Chapter 1, Understanding Julia's Ecosystem, describes the steps needed to set up the Julia ecosystem. It will also help to understand how the packages are downloaded, installed, updated, and removed. This chapter will also briefly introduce the features of Julia that we will be studying in detail in further chapters.

Chapter 2, Programming Concepts with Julia, gives an overview of the basic syntax of Julia and the programming concepts to get you up and running. This will explain concepts by giving examples of basic programming problems.

Chapter 3, Functions in Julia, takes you through creating functions in Julia. It will explain the importance of functions and best practices of function creation. Various types of functions will also be explained in this chapter.

Chapter 4, Understanding Types and Dispatch, explains in detail the type concept of Julia and how it is able to achieve the performance of statically typed languages. It will also explain powerful techniques to exploit the multiple dispatch provided by Julia.

Chapter 5, Working with Control Flow, explains how to structure the Julia program and different control structures to organize the execution of the code.

Chapter 6, Interoperability and Metaprogramming, explains how Julia provides different ways to interact with the operating system and other languages. Also, this chapter will explain expressions and macros.

Chapter 7, Numerical and Scientific Computation with Julia, explains what makes Julia suitable for numerical and scientific computing and the related features that Julia provides.

Chapter 8, Data Visualization and Graphics, explains with different examples the various sophisticated packages and methods to create beautiful visualizations in Julia.

Chapter 9, Connecting with Databases, deals with the interaction of Julia with databases. Most real-world applications use a database in the backend. It is important to understand how Julia interacts with different types of databases.

Chapter 10, Julia's Internals, provides details and explanations about the intricacies of Julia. It will also explain the standard packages available and networking with Julia. This chapter will also explain the process of creating a package in Julia and publishing it.

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