Julia 1.0 Programming

Enter the exciting world of Julia, a high-performance language for technical computing About This Book * Work with Julia in a multi-core, distributed, and networked environment; *Learn the techniques to create blazingly fast programs with Julia; *Apply Julia to tackle problems concurrently and in a distributed environment Who This Book Is For This book is for statisticians and data scientist who would like to jump start to the Julia programming language to take advantage while building big data applications. Basic knowledge of mathematics is needed to understand the various methods that will be used or created in the book to exploit the capabilities for which Julia is made. What You Will Learn * Set up your Julia environment to achieve the highest productivity *Solve your tasks in a high-level dynamic language and use types for your data only when needed *Create your own types to extend the built-in type system *Visualize your data in Julia with plotting packages *Explore the use of built-in macros for testing, debugging, benchmarking, and more *Apply Julia to tackle problems concurrently and in a distributed environment *Integrate with other languages such as C, Python, and MATLAB In Detail Julia is a new open-source programming language that is used in the field of data science computing. It 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. This book will give you a head start to tackle your numerical and data problems with Julia. You will begin by getting a quick overview of the new features in Julia 1.0. You will then learn how to set up a running Julia platform before exploring its various built-in types. You will then move on to cover the different functions and constructs in Julia. With practical examples, this book will then walk you through the two important collection types i.e arrays and matrices. You'll also be taken through the working of conversions and promotions. Over the course of the book, you will also be introduced to homoiconicity, the meta-programming concept in Julia. You will learn how Julia provides different ways to interact with the operating system and other languages and will also explain about the expressions and macros. This book will also explain what makes Julia suitable for numerical and scientific computing and the features provided by Julia for it. Towards the concluding part of the book, you will also learn how to run external programs. This book will cover all you need to know about Julia to leverage its high speed and efficiency.