Julia - Bit by Bit

2021-07-15
Julia - Bit by Bit

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  • Author: Noel Kalicharan
  • Publisher: Springer Nature
  • ISBN: 3030739368
  • Category : Computers
  • Languages : en
  • Pages : 289

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 is organized in 10 chapters. Chapter 1 gives an overview of the programming process. It shows how to write a first Julia program and introduces some of the basic building blocks needed to write programs. Chapter 2 is all about numbers—integers, floating-point, operators, expressions—how to work with them and how to print them. Chapter 3 shows how to write programs which can make decisions. It explains how to use if and if...else statements. Chapter 4 explains the notion of ‘looping’, implemented using for and while statements. It also explains how to read data from a file and write results to a file. Chapter 5 formally treats with functions, enabling a (large) program to be broken up into smaller manageable units which work together to solve a given problem. Chapter 6 is devoted to characters and strings. In Julia, we can work with them as seamlessly as we do with numbers. Chapter 7 tackles array processing, which is significantly easier in Julia than other languages. Chapter 8 is about sorting and searching techniques. Sorting puts data in an order that can be searched more quickly/easily, and makes it more palatable for human consumption. Chapter 9 introduces structures, enabling us to group data in a form that can be manipulated more easily as a unit. Chapter 10 deals with two useful data structures—dictionaries and sets. These enable us to solve certain kinds of problems more easily and conveniently than we can without them. This book is intended for anyone who is learning programming for the first time. The presentation is based on the fact that many students (though not all) have difficulties in learning programming. To overcome this, the book uses an approach which provides clear examples, detailed explanations of very basic concepts and numerous interesting problems (not just artificial exercises whose only purpose is to illustrate some language feature).

Julia - Bit by Bit

2020-12-22
Julia - Bit by Bit

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  • Author: Noel Kalicharan
  • Publisher:
  • ISBN:
  • Category :
  • Languages : en
  • Pages : 323

Julia--Bit by Bit attempts to teach computer programming to the complete beginner using Julia--a relatively new programming language. Created in 2009 by Jeff Bezanson, Stefan Karpinski, Viral B. Shah and Alan Edelman, Julia was launched in 2012.The book assumes you have no knowledge whatsoever about programming. And only elementary mathematics is expected. What will be an asset is the ability to think logically or to follow a logical argument. If you are good at presenting convincing arguments, you will probably be a good programmer. Even if you aren't, programming is the perfect vehicle for learning logical thinking skills. You should learn it for these skills even if you never intend to become a serious programmer.The main goal of this book is to teach fundamental programming principles using Julia, one of the fastest growing programming languages in the world today. Julia possesses many features not available in more popular languages like C and Java. Julia is easy to learn. In fact, I would go so far as to say that, of all the many languages I have learnt and taught over the last forty years, Julia is the easiest to learn. This is particularly important for someone learning programming for the first time.Nevertheless, this book is as much about teaching basic problem-solving principles as it is about teaching Julia. Remember, a language is useless if you can't use it to solve a problem. But once you learn the principles well, they can be applied to any language.

Think Julia

2019-04-05
Think Julia

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  • Author: Ben Lauwens
  • Publisher: "O'Reilly Media, Inc."
  • ISBN: 1492044989
  • Category : Computers
  • Languages : en
  • Pages : 298

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 1.0 to walk you through programming one step at a time, beginning with basic programming concepts before moving on to more advanced capabilities, such as creating new types and multiple dispatch. Designed from the beginning for high performance, Julia is a general-purpose language ideal for not only numerical analysis and computational science but also web programming and scripting. Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Julia is perfect for students at the high school or college level as well as self-learners and professionals who need to learn programming basics. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn about values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand types, methods, and multiple dispatch Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design and data structures through case studies

Hands-On Design Patterns and Best Practices with Julia

2020-01-17
Hands-On Design Patterns and Best Practices with Julia

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  • Author: Tom Kwong
  • Publisher: Packt Publishing Ltd
  • ISBN: 1838646612
  • Category : Computers
  • Languages : en
  • Pages : 521

Design and develop high-performance, reusable, and maintainable applications using traditional and modern Julia patterns with this comprehensive guide Key FeaturesExplore useful design patterns along with object-oriented programming in Julia 1.0Implement macros and metaprogramming techniques to make your code faster, concise, and efficientDevelop the skills necessary to implement design patterns for creating robust and maintainable applicationsBook Description Design patterns are fundamental techniques for developing reusable and maintainable code. They provide a set of proven solutions that allow developers to solve problems in software development quickly. This book will demonstrate how to leverage design patterns with real-world applications. Starting with an overview of design patterns and best practices in application design, you'll learn about some of the most fundamental Julia features such as modules, data types, functions/interfaces, and metaprogramming. You'll then get to grips with the modern Julia design patterns for building large-scale applications with a focus on performance, reusability, robustness, and maintainability. The book also covers anti-patterns and how to avoid common mistakes and pitfalls in development. You'll see how traditional object-oriented patterns can be implemented differently and more effectively in Julia. Finally, you'll explore various use cases and examples, such as how expert Julia developers use design patterns in their open source packages. By the end of this Julia programming book, you'll have learned methods to improve software design, extensibility, and reusability, and be able to use design patterns efficiently to overcome common challenges in software development. What you will learnMaster the Julia language features that are key to developing large-scale software applicationsDiscover design patterns to improve overall application architecture and designDevelop reusable programs that are modular, extendable, performant, and easy to maintainWeigh up the pros and cons of using different design patterns for use casesExplore methods for transitioning from object-oriented programming to using equivalent or more advanced Julia techniquesWho this book is for This book is for beginner to intermediate-level Julia programmers who want to enhance their skills in designing and developing large-scale applications.

Julia Programming for Operations Research

2019-03-03
Julia Programming for Operations Research

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  • Author: Changhyun Kwon
  • Publisher: Changhyun Kwon
  • ISBN: 1798205475
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 262

Last Updated: December 2020 Based on Julia v1.3+ and JuMP v0.21+ The main motivation of writing this book was to help the author himself. He is a professor in the field of operations research, and his daily activities involve building models of mathematical optimization, developing algorithms for solving the problems, implementing those algorithms using computer programming languages, experimenting with data, etc. Three languages are involved: human language, mathematical language, and computer language. His team of students need to go over three different languages, which requires "translation" among the three languages. As this book was written to teach his research group how to translate, this book will also be useful for anyone who needs to learn how to translate in a similar situation. The Julia Language is as fast as C, as convenient as MATLAB, and as general as Python with a flexible algebraic modeling language for mathematical optimization problems. With the great support from Julia developers, especially the developers of the JuMP—Julia for Mathematical Programming—package, Julia makes a perfect tool for students and professionals in operations research and related areas such as industrial engineering, management science, transportation engineering, economics, and regional science. For more information, visit: http://www.chkwon.net/julia

Learning Julia

2017-11-24
Learning Julia

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  • Author: Anshul Joshi
  • Publisher: Packt Publishing Ltd
  • ISBN: 1785885367
  • Category : Computers
  • Languages : en
  • Pages : 308

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 existing programmers, statisticians and data scientists to learn the Julia and take its advantage while building applications with complex numerical and scientific computations. 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 Understand Julia's ecosystem and create simple programs Master the type system and create your own types in Julia Understand Julia's type system, annotations, and conversions Define functions and understand meta-programming and multiple dispatch Create graphics and data visualizations using Julia Build programs capable of networking and parallel computation Develop real-world applications and use connections for RDBMS and NoSQL Learn to interact with other programming languages–C and Python—using Julia In Detail Julia is a highly appropriate language for scientific computing, but it comes with all the required capabilities of a general-purpose language. It allows us to achieve C/Fortran-like performance while maintaining the concise syntax of a scripting language such as Python. It is perfect for building high-performance and concurrent applications. From the basics of its syntax to learning built-in object types, this book covers it all. This book shows you how to write effective functions, reduce code redundancies, and improve code reuse. It will be helpful for new programmers who are starting out with Julia to explore its wide and ever-growing package ecosystem and also for experienced developers/statisticians/data scientists who want to add Julia to their skill-set. The book presents the fundamentals of programming in Julia and in-depth informative examples, using a step-by-step approach. You will be taken through concepts and examples such as doing simple mathematical operations, creating loops, metaprogramming, functions, collections, multiple dispatch, and so on. By the end of the book, you will be able to apply your skills in Julia to create and explore applications of any domain. Style and approach This book demonstrates the basics of Julia along with some data structures and testing tools that will give you enough material to get started with the language from an application standpoint.

The Missing Hours

2021-09-14
The Missing Hours

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  • Author: Julia Dahl
  • Publisher: Minotaur Books
  • ISBN: 1250083737
  • Category : Fiction
  • Languages : en
  • Pages : 225

From the critically acclaimed author of Invisible City and Conviction, The Missing Hours is a novel about obsession, privilege, and the explosive consequences of one violent act. From a distance, Claudia Castro has it all: a famous family, a trust fund, thousands of Instagram followers, and a spot in NYU’s freshman class. But look closer, and things are messier: her parents are separating, she’s just been humiliated by a sleazy documentary, and her sister is about to have a baby with a man she barely knows. Claudia starts the school year resolved to find a path toward something positive, maybe even meaningful – and then one drunken night everything changes. Reeling, her memory hazy, Claudia cuts herself off from her family, seeking solace in a new friendship. But when the rest of school comes back from spring break, Claudia is missing. Suddenly, the whole city is trying to piece together the hours of that terrible night.

Statistics with Julia

2021-09-04
Statistics with Julia

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  • Author: Yoni Nazarathy
  • Publisher: Springer Nature
  • ISBN: 3030709019
  • Category : Computers
  • Languages : en
  • Pages : 527

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 of programming and mathematical notation. It is accessible to practitioners and researchers in data science, machine learning, bio-statistics, finance, or engineering who may wish to solidify their knowledge of probability and statistics. The book progresses through ten independent chapters starting with an introduction of Julia, and moving through basic probability, distributions, statistical inference, regression analysis, machine learning methods, and the use of Monte Carlo simulation for dynamic stochastic models. Ultimately this text introduces the Julia programming language as a computational tool, uniquely addressing end-users rather than developers. It makes heavy use of over 200 code examples to illustrate dozens of key statistical concepts. The Julia code, written in a simple format with parameters that can be easily modified, is also available for download from the book’s associated GitHub repository online. See what co-creators of the Julia language are saying about the book: Professor Alan Edelman, MIT: With “Statistics with Julia”, Yoni and Hayden have written an easy to read, well organized, modern introduction to statistics. The code may be looked at, and understood on the static pages of a book, or even better, when running live on a computer. Everything you need is here in one nicely written self-contained reference. Dr. Viral Shah, CEO of Julia Computing: Yoni and Hayden provide a modern way to learn statistics with the Julia programming language. This book has been perfected through iteration over several semesters in the classroom. It prepares the reader with two complementary skills - statistical reasoning with hands on experience and working with large datasets through training in Julia.

Getting Started with Julia

2015-02-26
Getting Started with Julia

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  • Author: Ivo Balbaert
  • Publisher: Packt Publishing Ltd
  • ISBN: 1783284803
  • Category : Computers
  • Languages : en
  • Pages : 214

This book is for you if you are a data scientist or working on any technical or scientific computation projects. The book assumes you have a basic working knowledge of high-level dynamic languages such as MATLAB, R, Python, or Ruby.

Julia for Data Science

2016
Julia for Data Science

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  • Author: Zacharias Voulgaris
  • Publisher:
  • ISBN: 9781634621304
  • Category : Application software
  • Languages : en
  • Pages : 0

After covering the importance of Julia to the data science community and several essential data science principles, we start with the basics including how to install Julia and its powerful libraries. Many examples are provided as we illustrate how to leverage each Julia command, dataset, and function. Specialized script packages are introduced and described. Hands-on problems representative of those commonly encountered throughout the data science pipeline are provided, and we guide you in the use of Julia in solving them using published datasets. Many of these scenarios make use of existing packages and built-in functions, as we cover: An overview of the data science pipeline along with an example illustrating the key points, implemented in Julia Options for Julia IDEs Programming structures and functions Engineering tasks, such as importing, cleaning, formatting and storing data, as well as performing data preprocessing Data visualization and some simple yet powerful statistics for data exploration purposes Dimensionality reduction and feature evaluation Machine learning methods, ranging from unsupervised (different types of clustering) to supervised ones (decision trees, random forests, basic neural networks, regression trees, and Extreme Learning Machines) Graph analysis including pinpointing the connections among the various entities and how they can be mined for useful insights. Each chapter concludes with a series of questions and exercises to reinforce what you learned. The last chapter of the book will guide you in creating a data science application from scratch using Julia.