Julia

Reactive Publishing, 2025. — 652 p. — ISBN-13 979-8316009398. Experience Data Science reimagined—faster, leaner, and more elegant—with the Julia programming language. While Python and R have dominated the Data Science conversation for years, Julia is the breakthrough language designed from the ground up for high-performance numerical computing. Data Science with Julia is your...

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...

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...

Orange Education Pvt Ltd., 2024. — 484 р. — ISBN 13: 978-93-91246-86-0. Unleash Julia’s power: Code Your Data Stories, Shape Machine Intelligence! Book Description This book takes you through a step-by-step learning journey, starting with the essentials of Julia's syntax, variables, and functions. You'll unlock the power of efficient data handling by leveraging Julia arrays and...

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...

No Starch Press, 2024. — 578 р. — ISBN-13: 978-1-7185-0277-2. Learn to use Julia as a tool for research, and solve problems of genuine interest—like modeling the course of a pandemic—in this practical, hands-on introduction to the language. The Julia programming language is acclaimed in scientific circles for its unparalleled ease, interactivity, and speed. Practical Julia is a...

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...

Manning Publications, 2023. — 402 р. — ISBN: 978-1617299711. Learn Julia programming by building fun projects, like launching rockets, building password keepers, and even coding battle simulations. Julia as a Second Language covers: Data types like numbers, strings, arrays, and dictionaries Immediate feedback with Julia’s read-evaluate-print-loop (REPL) Simplify code...

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 super computer. A beginner-friendly guide to the Julia programming language. Julia is an...

Packt, 2022. — 392 p. — ISBN 1801810516, 9781801810517. 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 interactions,...

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...

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...

Packt Publishing 2019 Design and develop high-performance programs in Julia 1.0 Key Features Learn the characteristics of high-performance Julia code Use the power of the GPU to write efficient numerical code Speed up your computation with the help of newly introduced shared memory multi-threading in Julia 1.0 Book Description Julia is a high-level, high-performance dynamic...

Packt, 2020. - 532p. - 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...

Apress, 2019. — 164 p. — ISBN13: (electronic): 978-1-4842-5190-4. 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...

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, 2018. — 328 p. — ISBN: 9781788998796. Hands-On Computer Vision with Julia is a thorough guide for developers who want to get started with building computer vision applications using Julia. Julia is well suited to image processing because it's easy to use and lets you write easy-to-compile and efficient machine code. This book begins by introducing you to...

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,...

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...

Packt Publishing, 2016. — 619 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...

Packt Publishing, 2016.— 915 p — ISBN: 9781787125704 In 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...

Packt Publishing, 2015. — 410 p. — ISBN: 1783553316, 9781783553310 Key FeaturesBuild statistical models with linear regression and analysis of variance (ANOVA)Create your own modules and contribute to the Julia package systemComplete an extensive data science project through the entire cycle from ETL to analytics and data visualizationBook Description Julia is a well-constructed...