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Design and develop high performing programs with JuliaAbout This BookLearn to code high reliability and high performance programsStand out from the crowd by developing code that runs faster than your peers' codesThis book is intended for developers who are interested in high performance technical programming.Who This Book Is ForThis book is for beginner and intermediate Julia programmers who are interested in high performance technical computing. You will have a basic familiarity with Julia syntax, and have written some small programs in the language.What You Will LearnDiscover the secrets behind Julia's speedGet a sense of the possibilities and limitations of Julia's performanceAnalyze the performance of Julia programsMeasure the time and memory taken by Julia programsCreate fast machine code using Julia's type informationDefine and call functions without compromising Julia's performanceUnderstand number types in JuliaUse Julia arrays to write high performance codeGet an overview of Julia's distributed computing capabilitiesIn DetailJulia is a high performance, high-level dynamic language designed to address the requirements of high-level numerical and scientific computing. Julia brings solutions to the complexities faced by developers while developing elegant and high performing code.Julia High Performance will take you on a journey to understand the performance characteristics of your Julia programs, and enables you to utilize the promise of near C levels of performance in Julia.You will learn to analyze and measure the performance of Julia code, understand how to avoid bottlenecks, and design your program for the highest possible performance. In this book, you will also see how Julia uses type information to achieve its performance goals, and how to use multuple dispatch to help the compiler to emit high performance machine code. Numbers and their arrays are obviously the key structures in scientific computing – you will see how Julia's design makes them fast. T

Leverage the power of Julia to design and develop high performing programsAbout This BookGet to know the best techniques to create blazingly fast programs with JuliaStand out from the crowd by developing code that runs faster than your peers' codeComplete an extensive data science project through the entire cycle from ETL to analytics and data visualizationWho This Book Is ForThis learning path is for data scientists and for all those who work in technical and scientific computation projects. It will be great for Julia developers who are interested in high-performance technical computing.This learning path assumes that you already have some basic working knowledge of Julia's syntax and high-level dynamic languages such as MATLAB, R, Python, or Ruby.What You Will LearnSet up your Julia environment to achieve the highest productivitySolve your tasks in a high-level dynamic language and use types for your data only when neededApply Julia to tackle problems concurrently and in a distributed environmentGet a sense of the possibilities and limitations of Julia's performanceUse Julia arrays to write high performance codeBuild a data science project through the entire cycle of ETL, analytics, and data visualizationDisplay graphics and visualizations to carry out modeling and simulation in JuliaDevelop your own packages and contribute to the Julia CommunityIn DetailIn this learning path, you will learn to use an interesting and dynamic programming language—Julia! You will get a chance to tackle your numerical and data problems with Julia. You'll begin the journey by setting up a running Julia platform before exploring its various built-in types. We'll then move on to the various functions and constructs in Julia. We'll walk through the two important collection types—arrays and matrices in Julia.You will dive into how Julia uses type information to achieve its performance goals, and how to use multiple dispatch to help the compiler emit high performance machine code. You will