Julia 10 Programming Cookbook

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Julia 1.0 Programming Cookbook

Author : Bogumił Kamiński
Publisher : Packt Publishing Ltd
ISBN 13 : 1788998820
Total Pages : 451 pages
Book Rating : 4.7/5 (889 download)

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Book Synopsis Julia 1.0 Programming Cookbook by : Bogumił Kamiński

Download or read book Julia 1.0 Programming Cookbook written by Bogumił Kamiński and published by Packt Publishing Ltd. This book was released on 2018-11-29 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the new features and widely used packages in Julia to solve complex computational problems in your statistical applications. Key FeaturesAddress the core problems of programming in Julia with the most popular packages for common tasksTackle issues while working with Databases and Parallel data processing with JuliaExplore advanced features such as metaprogramming, functional programming, and user defined typesBook Description Julia, with its dynamic nature and high-performance, provides comparatively minimal time for the development of computational models with easy-to-maintain computational code. This book will be your solution-based guide as it will take you through different programming aspects with Julia. Starting with the new features of Julia 1.0, each recipe addresses a specific problem, providing a solution and explaining how it works. You will work with the powerful Julia tools and data structures along with the most popular Julia packages. You will learn to create vectors, handle variables, and work with functions. You will be introduced to various recipes for numerical computing, distributed computing, and achieving high performance. You will see how to optimize data science programs with parallel computing and memory allocation. We will look into more advanced concepts such as metaprogramming and functional programming. Finally, you will learn how to tackle issues while working with databases and data processing, and will learn about on data science problems, data modeling, data analysis, data manipulation, parallel processing, and cloud computing with Julia. By the end of the book, you will have acquired the skills to work more effectively with your data What you will learnBoost your code’s performance using Julia’s unique featuresOrganize data in to fundamental types of collections: arrays and dictionariesOrganize data science processes within Julia and solve related problemsScale Julia computations with cloud computingWrite data to IO streams with Julia and handle web transferDefine your own immutable and mutable typesSpeed up the development process using metaprogrammingWho this book is for This book is for developers who would like to enhance their Julia programming skills and would like to get some quick solutions to their common programming problems. Basic Julia programming knowledge is assumed.

Julia Cookbook

Author : Jalem Raj Rohit
Publisher : Packt Publishing Ltd
ISBN 13 : 1785883631
Total Pages : 167 pages
Book Rating : 4.7/5 (858 download)

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Book Synopsis Julia Cookbook by : Jalem Raj Rohit

Download or read book Julia Cookbook written by Jalem Raj Rohit and published by Packt Publishing Ltd. This book was released on 2016-09-30 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 40 recipes to get you up and running with programming using Julia About This Book Follow a practical approach to learn Julia programming the easy way Get an extensive coverage of Julia's packages for statistical analysis This recipe-based approach will help you get familiar with the key concepts in Juli Who This Book Is For This book is for data scientists and data analysts who are familiar with the basics of the Julia language. Prior experience of working with high-level languages such as MATLAB, Python, R, or Ruby is expected. What You Will Learn Extract and handle your data with Julia Uncover the concepts of metaprogramming in Julia Conduct statistical analysis with StatsBase.jl and Distributions.jl Build your data science models Find out how to visualize your data with Gadfly Explore big data concepts in Julia In Detail 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 book starts with the main features of Julia to help you quickly refresh your knowledge of functions, modules, and arrays. We'll also show you how to utilize the Julia language to identify, retrieve, and transform data sets so you can perform data analysis and data manipulation. Later on, you'll see how to optimize data science programs with parallel computing and memory allocation. You'll get familiar with the concepts of package development and networking to solve numerical problems using the Julia platform. This book includes recipes on identifying and classifying data science problems, data modelling, data analysis, data manipulation, meta-programming, multidimensional arrays, and parallel computing. By the end of the book, you will acquire the skills to work more effectively with your data. Style and approach This book has a recipe-based approach to help you grasp the concepts of Julia programming.

Julia Programming Projects

Author : Adrian Salceanu
Publisher : Packt Publishing Ltd
ISBN 13 : 1788297253
Total Pages : 494 pages
Book Rating : 4.7/5 (882 download)

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Book Synopsis Julia Programming Projects by : Adrian Salceanu

Download or read book Julia Programming Projects written by Adrian Salceanu and published by Packt Publishing Ltd. This book was released on 2018-12-26 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: A step-by-step guide that demonstrates how to build simple-to-advanced applications through examples in Julia Lang 1.x using modern tools Key FeaturesWork with powerful open-source libraries for data wrangling, analysis, and visualizationDevelop full-featured, full-stack web applications Learn to perform supervised and unsupervised machine learning and time series analysis with JuliaBook Description Julia is a new programming language that offers a unique combination of performance and productivity. Its powerful features, friendly syntax, and speed are attracting a growing number of adopters from Python, R, and Matlab, effectively raising the bar for modern general and scientific computing. After six years in the making, Julia has reached version 1.0. Now is the perfect time to learn it, due to its large-scale adoption across a wide range of domains, including fintech, biotech, education, and AI. Beginning with an introduction to the language, Julia Programming Projects goes on to illustrate how to analyze the Iris dataset using DataFrames. You will explore functions and the type system, methods, and multiple dispatch while building a web scraper and a web app. Next, you'll delve into machine learning, where you'll build a books recommender system. You will also see how to apply unsupervised machine learning to perform clustering on the San Francisco business database. After metaprogramming, the final chapters will discuss dates and time, time series analysis, visualization, and forecasting. We'll close with package development, documenting, testing and benchmarking. By the end of the book, you will have gained the practical knowledge to build real-world applications in Julia. What you will learnLeverage Julia's strengths, its top packages, and main IDE optionsAnalyze and manipulate datasets using Julia and DataFramesWrite complex code while building real-life Julia applicationsDevelop and run a web app using Julia and the HTTP packageBuild a recommender system using supervised machine learning Perform exploratory data analysis Apply unsupervised machine learning algorithmsPerform time series data analysis, visualization, and forecastingWho this book is for Data scientists, statisticians, business analysts, and developers who are interested in learning how to use Julia to crunch numbers, analyze data and build apps will find this book useful. A basic knowledge of programming is assumed.

Julia High Performance

Author : Avik Sengupta
Publisher : Packt Publishing Ltd
ISBN 13 : 1785887823
Total Pages : 132 pages
Book Rating : 4.7/5 (858 download)

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Book Synopsis Julia High Performance by : Avik Sengupta

Download or read book Julia High Performance written by Avik Sengupta and published by Packt Publishing Ltd. This book was released on 2016-04-26 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design and develop high performing programs with Julia About This Book Learn to code high reliability and high performance programs Stand out from the crowd by developing code that runs faster than your peers' codes This book is intended for developers who are interested in high performance technical programming. Who This Book Is For This 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 Learn Discover the secrets behind Julia's speed Get a sense of the possibilities and limitations of Julia's performance Analyze the performance of Julia programs Measure the time and memory taken by Julia programs Create fast machine code using Julia's type information Define and call functions without compromising Julia's performance Understand number types in Julia Use Julia arrays to write high performance code Get an overview of Julia's distributed computing capabilities In Detail Julia 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. The last chapter will give you a taste of Julia's distributed computing capabilities. Style and approach This is a hands-on manual that will give you good explanations about the important concepts related to Julia programming.

Julia High Performance

Author : Avik Sengupta
Publisher : Packt Publishing Ltd
ISBN 13 : 1788292308
Total Pages : 210 pages
Book Rating : 4.7/5 (882 download)

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Book Synopsis Julia High Performance by : Avik Sengupta

Download or read book Julia High Performance written by Avik Sengupta and published by Packt Publishing Ltd. This book was released on 2019-06-10 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design and develop high-performance programs in Julia 1.0 Key FeaturesLearn the characteristics of high-performance Julia codeUse the power of the GPU to write efficient numerical codeSpeed up your computation with the help of newly introduced shared memory multi-threading in Julia 1.0Book Description Julia is a high-level, high-performance dynamic programming language for numerical computing. If you want to understand how to avoid bottlenecks and design your programs for the highest possible performance, then this book is for you. The book starts with how Julia uses type information to achieve its performance goals, and how to use multiple dispatches to help the compiler emit high-performance machine code. After that, you will learn how to analyze Julia programs and identify issues with time and memory consumption. We teach you how to use Julia's typing facilities accurately to write high-performance code and describe how the Julia compiler uses type information to create fast machine code. Moving ahead, you'll master design constraints and learn how to use the power of the GPU in your Julia code and compile Julia code directly to the GPU. Then, you'll learn how tasks and asynchronous IO help you create responsive programs and how to use shared memory multithreading in Julia. Toward the end, you will get a flavor of Julia's distributed computing capabilities and how to run Julia programs on a large distributed cluster. By the end of this book, you will have the ability to build large-scale, high-performance Julia applications, design systems with a focus on speed, and improve the performance of existing programs. What you will learnUnderstand how Julia code is transformed into machine codeMeasure the time and memory taken by Julia programs Create fast machine code using Julia's type information Define and call functions without compromising Julia's performance Accelerate your code via the GPUUse tasks and asynchronous IO for responsive programsRun Julia programs on large distributed clustersWho this book is for This book is for beginners and intermediate Julia programmers who are interested in high-performance technical programming. A basic knowledge of Julia programming is assumed.

Hands-On Design Patterns and Best Practices with Julia

Author : Tom Kwong
Publisher : Packt Publishing Ltd
ISBN 13 : 1838646612
Total Pages : 521 pages
Book Rating : 4.8/5 (386 download)

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Book Synopsis Hands-On Design Patterns and Best Practices with Julia by : Tom Kwong

Download or read book Hands-On Design Patterns and Best Practices with Julia written by Tom Kwong and published by Packt Publishing Ltd. This book was released on 2020-01-17 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

R for Data Science

Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis R for Data Science by : Hadley Wickham

Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Dearie

Author : Bob Spitz
Publisher : Vintage
ISBN 13 : 0307473414
Total Pages : 577 pages
Book Rating : 4.3/5 (74 download)

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Book Synopsis Dearie by : Bob Spitz

Download or read book Dearie written by Bob Spitz and published by Vintage. This book was released on 2013-04-23 with total page 577 pages. Available in PDF, EPUB and Kindle. Book excerpt: NATIONAL BESTSELLER • A"rollicking biography" (People Magazine) and extraordinarily entertaining account of how Julia Child transformed herself into the cult figure who touched off a food revolution that has gripped the country for decades. Spanning Pasadena to Paris, acclaimed author Bob Spitz reveals the history behind the woman who taught America how to cook. A genuine rebel who took the pretensions that embellished French cuisine and fricasseed them to a fare-thee-well, paving the way for a new era of American food—not to mention blazing a new trail in television—Child redefined herself in middle age, fought for women’s rights, and forever altered how we think about what we eat. Chronicling Julia's struggles, her heartwarming romance with Paul, and, of course, the publication of Mastering the Art of French Cooking and her triumphant TV career, Dearie is a stunning story of a truly remarkable life.

Master Visually Excel 2003 VBA Programming

Author : Julia Kelly
Publisher : Visual
ISBN 13 :
Total Pages : 432 pages
Book Rating : 4.:/5 ( download)

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Book Synopsis Master Visually Excel 2003 VBA Programming by : Julia Kelly

Download or read book Master Visually Excel 2003 VBA Programming written by Julia Kelly and published by Visual. This book was released on 2005-02-18 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a unique visual guide for those who want to take the next step in VBA expertise.

Julia for Data Science

Author : Zacharias Voulgaris
Publisher :
ISBN 13 : 9781634621304
Total Pages : 0 pages
Book Rating : 4.6/5 (213 download)

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Book Synopsis Julia for Data Science by : Zacharias Voulgaris

Download or read book Julia for Data Science written by Zacharias Voulgaris and published by . This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Numerical Linear Algebra with Julia

Author : Eric Darve
Publisher : SIAM
ISBN 13 : 1611976553
Total Pages : 420 pages
Book Rating : 4.6/5 (119 download)

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Book Synopsis Numerical Linear Algebra with Julia by : Eric Darve

Download or read book Numerical Linear Algebra with Julia written by Eric Darve and published by SIAM. This book was released on 2021-09-02 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerical Linear Algebra with Julia provides in-depth coverage of fundamental topics in numerical linear algebra, including how to solve dense and sparse linear systems, compute QR factorizations, compute the eigendecomposition of a matrix, and solve linear systems using iterative methods such as conjugate gradient. Julia code is provided to illustrate concepts and allow readers to explore methods on their own. Written in a friendly and approachable style, the book contains detailed descriptions of algorithms along with illustrations and graphics that emphasize core concepts and demonstrate the algorithms. Numerical Linear Algebra with Julia is a textbook for advanced undergraduate and graduate students in most STEM fields and is appropriate for courses in numerical linear algebra. It may also serve as a reference for researchers in various fields who depend on numerical solvers in linear algebra.

Mastering Julia

Author : Malcolm Sherrington
Publisher : Packt Publishing Ltd
ISBN 13 : 1783553324
Total Pages : 410 pages
Book Rating : 4.7/5 (835 download)

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Book Synopsis Mastering Julia by : Malcolm Sherrington

Download or read book Mastering Julia written by Malcolm Sherrington and published by Packt Publishing Ltd. This book was released on 2015-07-22 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Julia is a well-constructed programming language with fast execution speed, eliminating the classic problem of performing analysis in one language and translating it for performance into a second. This book will help you develop and enhance your programming skills in Julia to solve real-world automation challenges. This book starts off with a refresher on installing and running Julia on different platforms. Next, you will compare the different ways of working with Julia and explore Julia's key features in-depth by looking at design and build. You will see how data works using simple statistics and analytics, and discover Julia's speed, its real strength, which makes it particularly useful in highly intensive computing tasks and observe how Julia can cooperate with external processes in order to enhance graphics and data visualization. Finally, you will look into meta-programming and learn how it adds great power to the language and establish networking and distributed computing with Julia.

Julia 1.0 Programming

Author : Ivo Balbaert
Publisher : Packt Publishing
ISBN 13 : 9781788999090
Total Pages : 196 pages
Book Rating : 4.9/5 (99 download)

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Book Synopsis Julia 1.0 Programming by : Ivo Balbaert

Download or read book Julia 1.0 Programming written by Ivo Balbaert and published by Packt Publishing. This book was released on 2018-09-24 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enter the exciting world of Julia, a high-performance language for technical computing Key Features Leverage Julia's high speed and efficiency for your applications Work with Julia in a multi-core, distributed, and networked environment Apply Julia to tackle problems concurrently and in a distributed environment Book Description The release of Julia 1.0 is now ready to change the technical world by combining the high productivity and ease of use of Python and R with the lightning-fast speed of C++. Julia 1.0 programming gives you a head start in tackling your numerical and data problems. You will begin by learning how to set up a running Julia platform, before exploring its various built-in types. With the help of practical examples, this book walks you through two important collection types: arrays and matrices. In addition to this, you will be taken through how type conversions and promotions work. In the course of the book, you will be introduced to the homo-iconicity and metaprogramming concepts in Julia. You will understand how Julia provides different ways to interact with an operating system, as well as other languages, and then you'll discover what macros are. Once you have grasped the basics, you'll study what makes Julia suitable for numerical and scientific computing, and learn about the features provided by Julia. By the end of this book, you will also have learned how to run external programs. This book covers all you need to know about Julia in order to leverage its high speed and efficiency for your applications. What you will learn Set up your Julia environment to achieve high productivity 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 and debugging, among other uses Apply Julia to tackle problems concurrently Integrate Julia with other languages such as C, Python, and MATLAB Who this book is for Julia 1.0 Programming is for you if you are a statistician or data scientist who wants a crash course in the Julia programming language while building big data applications. A basic knowledge of mathematics is needed to understand the various methods that are used or created during the course of the book to exploit the capabilities that Julia is designed with.

Julia Quick Syntax Reference

Author : Antonello Lobianco
Publisher : Apress
ISBN 13 : 1484251903
Total Pages : 223 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Julia Quick Syntax Reference by : Antonello Lobianco

Download or read book Julia Quick Syntax Reference written by Antonello Lobianco and published by Apress. This book was released on 2019-11-11 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 reveals basic Julia structures and syntax; discusses data types, control flow, functions, input/output, exceptions, metaprogramming, performance, and more. Additionally, you'll learn to interface Julia with other programming languages such as R for statistics or Python. You will learn how to use Julia packages for data analysis, numerical optimization and symbolic computation, and how to disseminate your results in dynamic documents or interactive web pages. In this book, the focus is on providing important information as quickly as possible. It is packed with useful information and is a must-have for any Julia programmer. What You Will Learn Set up the software needed to run Julia and your first Hello World exampleWork with types and the different containers that Julia makes available for rapid application developmentUse vectorized, classical loop-based code, logical operators, and blocksExplore Julia functions by looking at arguments, return values, polymorphism, parameters, anonymous functions, and broadcastsBuild custom structures in JuliaInterface Julia with other languages such as C/C++, Python, and RProgram a richer API, modifying the code before it is executed using expressions, symbols, macros, quote blocks, and moreMaximize your code’s performance Who This Book Is For Experienced programmers new to Julia, as well as existing Julia coders new to the now stable Julia version 1.0 release.

The Victory Garden Cookbook

Author : Marian Morash
Publisher : Alfred A. Knopf
ISBN 13 : 039470780X
Total Pages : 386 pages
Book Rating : 4.3/5 (947 download)

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Book Synopsis The Victory Garden Cookbook by : Marian Morash

Download or read book The Victory Garden Cookbook written by Marian Morash and published by Alfred A. Knopf. This book was released on 1982 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes over 800 recipes for using fresh vegetables, plus essential gardening information and ideas on how to use your harvest.

IPython Interactive Computing and Visualization Cookbook

Author : Cyrille Rossant
Publisher : Packt Publishing Ltd
ISBN 13 : 178328482X
Total Pages : 899 pages
Book Rating : 4.7/5 (832 download)

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Book Synopsis IPython Interactive Computing and Visualization Cookbook by : Cyrille Rossant

Download or read book IPython Interactive Computing and Visualization Cookbook written by Cyrille Rossant and published by Packt Publishing Ltd. This book was released on 2014-09-25 with total page 899 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists... Basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.

The Little Book of Julia Algorithms

Author : Ahan Sengupta
Publisher :
ISBN 13 : 9781637540008
Total Pages : pages
Book Rating : 4.5/5 (4 download)

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Book Synopsis The Little Book of Julia Algorithms by : Ahan Sengupta

Download or read book The Little Book of Julia Algorithms written by Ahan Sengupta and published by . This book was released on 2022-12 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Targeted at middle and high school programmers, this book aims to explain basic computer science concepts while teaching the Julia programming language. As a fast and productive high level language, Julia is ideal for beginner programmers. The learning curve for programming can be quite steep and this book aims to ease this transition by encouraging practise and gradually introducing more complex concepts. The book contains 50 programming challenges that encourages the reader to write their own programs. The solutions to all challenges are given at the end of the book. This book will make readers comfortable with using computers to solve any problems, and leave them well prepared for more significant programming in their maths, science or computer science courses at college. After finishing the exercises in this book, the reader should feel more familiar with: Loops and conditionals, Structuring code with functions, Reading and writing files, Installing and using packages, Sorting and searching, and Simple Statistics and Plotting. With a foreword by Jeff Bezanson, co-creator of the Julia programming language.