Packt Publishing, 2016. — 348 p. — ISBN: 1785289691, 9781785289699 Key Features An in-depth exploration of Julia's growing ecosystem of packages Work with the most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn about deep learning using Mocha.jl and give speed and high performance to data analysis on large data sets Book...
Apress, 2017. — 359 p. — ISBN: 978-1-4842-3170-8. Get started with Julia for engineering and numerical computing, especially data science, machine learning, and scientific computing applications. This book explains how Julia provides the functionality, ease-of-use and intuitive syntax of R, Python, MatLAB, SAS, or Stata combined with the speed, capacity, and performance of C,...
Chapman and Hall/CRC, 2019. — 220 p. — ISBN: 9781138499980. Julia, an open-source programming language, was created to be as easy to use as languages such as R and Python while also as fast as C and Fortran. An accessible, intuitive, and highly efficient base language with speed that exceeds R and Python, makes Julia a formidable language for data science. Using well known data...
Packt Publishing, 2017. — 301 p. — ISBN: 9781785883279. Learn Julia language for data science and data analytics About This Book Set up Julia's environment and start building simple programs Explore the technical aspects of Julia and its potential when it comes to speed and data processing Write efficient and high-quality code in Julia Who This Book Is For This book allows...
Packt Publishing, 2016. — 172 p. — ISBN13: 9781785882012. — True PDF. Over 40 recipes to get you up and running with programming using Julia. Want to handle everything that Julia can throw at you and get the most of it every day? This practical guide to programming with Julia for performing numerical computation will make you more productive and able work with data more...
O’Reilly Media, 2019. — 660 p. — ISBN N\A. Julia was originally released in 2012 by Alan Edelman, Stefan Karpinski, Jeff Bezanson, and Viral Shah. It is a free and open-source programming language. Choosing a programming language is always subjective. For me, the following characteristics of Julia are decisive: Julia is developed as a high-performance programming language....
Packt Publishing, 2016. — 172 p. — ISBN13: 9781785882012. Over 40 recipes to get you up and running with programming using Julia Want to handle everything that Julia can throw at you and get the most of it every day? This practical guide to programming with Julia for performing numerical computation will make you more productive and able work with data more efficiently. The...
MIT and Julia Computing, 2015. — 37 p. — ISBN: N\A Bezanson J., Edelman A., Karpinski St., Shah V.B. Bridging cultures that have often been distant, Julia combines expertise from the diverseelds of computer science and computational science to create a new approach to numerical computing. Julia is designed to be easy and fast. Julia questions notions generally held as "laws of...
O’Reilly Media, 2019. — 107 p. — (Early Release). — ISBN: 1492045039. If you’re just learning how to program, Julia is an excellent JIT-compiled, dynamically-typed language with a clean syntax. This hands-on guide uses Julia (version 1.0) to walk you through programming one step at a time, beginning with basic programming concepts before moving on to more advanced capabilities,...
New York: Springer, 2021. — 302 p. — ISBN: 9783030739355, 9783030739362. The main goal of this book is to teach fundamental programming principles to beginners using Julia, one of the fastest growing programming languages today. Julia can be classified as a "modern" language, possessing many features not available in more popular languages like C and Java. The book assumes you...
13 p. The Purpose of this document is to introduce programmers to Julia programming by example. This is a simplified exposition of the language. It is best to execute these examples by copying them to a file and next running them using include function.
Manning Publications Co., 2023. — 474 p. — ISBN: 978-1633439368. Master core data analysis skills using Julia. Interesting hands-on projects guide you through time series data, predictive models, popularity ranking, and more. Julia was designed for the unique needs of data scientists: it’s expressive and easy to use whilst also delivering super fast code execution. Julia for...
New York: Apress, 2019. — 223 p. This quick Julia programming language guide is a condensed code and syntax reference to the Julia 1.x programming language, updated with the latest features of the Julia APIs, libraries, and packages. It presents the essential Julia syntax in a well-organized format that can be used as a handy reference. This book provides an introduction that...
Packt, 2020. - 532 p. - ISBN: 9781838648817 Design and develop high-performance, reusable, and maintainable applications using traditional and modern Julia patterns with this comprehensive guide Key Features Explore useful design patterns along with object-oriented programming in Julia 1.0 Implement macros and metaprogramming techniques to make your code faster, concise, and...
Florida State University, 2019. — 212 p. First Semester in Numerical Analysis with Julia presents the theory and methods, together with the implementation of the algorithms using the Julia programming language (version 1.1.0). The book covers computer arithmetic, root-finding, numerical quadrature and differentiation, and approximation theory. The reader is expected to have...
2nd. ed. — Birmingham: Packt Publishing, 2024. — 499 p. — ISBN: 1805129791. A hands-on, code-based guide to leveraging Julia in a variety of scientific and data-driven scenarios. Key Features. Augment your basic computing skills with an in-depth introduction to Julia. Focus on topic-based approaches to scientific problems and visualization. Build on prior knowledge of...
Leanpub/Sixty North AS, 2020. — 474 p. Learn the hot new programming language for Data Science and Machine Learning. Julia is an easy-to-use, high-performance, general programming language. You can use Julia for anything from simple scripting to writing a climate model running on a supercomputer. A beginner-friendly guide to the Julia programming language. Julia is an exciting,...
Technics Publications, 2020. — 296 p. Unleash the power of Julia for your machine learning tasks. We reveal why Julia is chosen for more and more data science and machine learning projects, including Julia's ability to run algorithms at lightning speed. Next, we show you how to set up Julia and various IDEs such as Jupyter. Afterward, we explore key Julia libraries, which are...
BPB Publications, 2022. — 388 p. — ISBN: 978-93-91030-889. Build production-ready machine learning and NLP systems using functional programming, development platforms, and cloud deployment. Key Features In-depth explanation and code samples highlighting the features of the Julia language. Extensive coverage of the Julia development ecosystem, package management, DevOps...
Independently published, 2023. — 527 p. — (Mastering Programming Languages Series). — ASIN: B0CQRSCPVJ. Unlock the Power of Julia: Your Comprehensive Guide to Mastering the Future of Programming Are you ready to revolutionize your coding experience and embrace the future of programming languages? Dive into the world of Julia with our definitive guide, "Julia Programming."...
Manning Publications, 2023. — 401 p. — ISBN: 1617299715. Learn Julia programming by building fun projects, like launching rockets, building password keepers, and even coding battle simulations. Don’t be put off by Julia’s reputation as a scientific programming language. There’s no data science or numerical computing knowledge required. You can get started with what you learned...
Springer, 2022. — 447 p. — ISBN: 978-3-031-16559-7. This book provides an introduction to modern topics in scientific computing and Machine Learning (ML), using JULIA to illustrate the efficient implementation of algorithms. In addition to covering fundamental topics, such as optimization and solving systems of equations, it adds to the usual canon of computational science by...
Springer, 2021. — 531 p. — ISBN: 978-3-030-70900-6. This monograph uses the Julia language to guide the reader through an exploration of the fundamental concepts of probability and statistics, all with a view of mastering machine learning, data science, and artificial intelligence. The text does not require any prior statistical knowledge and only assumes a basic understanding...
Academic Press, 2018. — 418 p. — ISBN: 0128122196, 9780128122198. Introduction to Quantitative Macroeconomics with Julia: State-of-the-Art Dynamic Stochastic General Equilibrium Modelsfacilitates access to fundamental techniques in computational and quantitative macroeconomics. Modeling challenges make quantitative macroeconomics dynamic, yet few books provide macroeconomists...
Packt, 2018. — 192 p. — ISBN: 9781788998796, 9781788998796. Explore the various packages in Julia that support image processing and build neural networks for video processing and object tracking. About This Book • Build a full-fledged image processing application using JuliaImages • Perform basic to advanced image and video stream processing with Julia's APIs • Understand and...
Independently published, 2023. - 402 p. - ISBN: 9798392400041. Introduces the popular, powerful, and free programming language and software package, Julia. Focus: implementation of standard tools and methods used in econometrics. Compatible with "Introductory Econometrics" by Jeffrey M. Wooldridge in terms of topics, organization, terminology, and notation. Topics: A gentle...
2nd Edition. — Apress, 2025. — 371 p. — ISBN-13 979-8-8688-0964-4. Learn the Julia programming language as quickly as possible. This book is a must-have reference guide that presents the essential Julia syntax in a well-organized format, updated with the latest features of Julia’s APIs, libraries, and packages. This book provides an introduction that reveals basic Julia...
The Julia Project, December 27, 2023. — 1693 p. Julia Language is dynamically typed, feels like a scripting language, and has good support for interactive use. Julia has a rich language of descriptive data types, and type declarations can be used to clarify and solidify programs. The programs compile efficient native code for multiple platforms via LLVM.
Packt Publishing. 2019. 455 p. ISBN: 9781838822248. Learn dynamic programming with Julia to build apps for data analysis, visualization, machine learning, and the web. Key Features Leverage Julia's high speed and efficiency to build fast, efficient applications. Perform supervised and unsupervised machine learning and time series analysis. Tackle problems concurrently and in a...
Springer, 2024. — 164 p. The book combines internet modeling with the new programming language Julia. It demonstrates Julia's suitability for modeling established internet models and research-oriented topics such as car-to-infrastructure communication and black-box models for load predictions with neural networks. After studying the book and gaining inspiration for further...
Apress, 2019. — 223 p. — ISBN: 9781484251898, EISBN 9781484251904. This quick Julia programming language guide is a condensed code and syntax reference to the Julia 1.x programming language, updated with the latest features of the Julia APIs, libraries, and packages. It presents the essential Julia syntax in a well-organized format that can be used as a handy reference. This...
2nd Edition. — Apress Media LLC, 2025. — 325 p. — ISBN-13 979-8-8688-0964-4. Learn the Julia programming language as quickly as possible. This book is a must-have reference guide that presents the essential Julia syntax in a well-organized format, updated with the latest features of Julia’s APIs, libraries, and packages. This book provides an introduction that reveals basic...
Independently published, 2024. - 259 p. - ISBN: 9798489859165. First edition published in 2021. Version: 19.8.2024. There are many programming languages and every one of them has its strengths and weaknesses. Some languages are very quick, but verbose. Other languages are very easy to write in but slow. This is known as the two-language problem and Julia aims at circumventing...
The Julia Project, 2024. — 1692 p. Scientific computing has traditionally required the highest performance, yet domain experts have largely moved to slower dynamic languages for daily work. We believe there are many good reasons to prefer dynamic languages for these applications, and we do not expect their use to diminish. Fortunately, modern language design and compiler...
Birmingham: Packt Publishing, 2022. — 392 p. — ISBN: 1801810516. Represent and analyze data using Plots to find actionable insights using Julia programming. Key Features Learn to use static and interactive plots to explore data with Julia. Become well-versed with the various plotting attributes needed to customize your plots. Create insightful and appealing plots using data...
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