Julia
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Think Julia
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Author : Ben Lauwens
language : en
Publisher: O'Reilly Media
Release Date : 2019-04-05
Think Julia written by Ben Lauwens and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-05 with Computers categories.
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
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Author : Tom Kwong
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-01-17
Hands On Design Patterns And Best Practices With Julia written by Tom Kwong and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-17 with Computers categories.
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
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Author : Changhyun Kwon
language : en
Publisher: Changhyun Kwon
Release Date : 2019-03-03
Julia Programming For Operations Research written by Changhyun Kwon and has been published by Changhyun Kwon this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-03 with Technology & Engineering categories.
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
Statistics With Julia
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Author : Yoni Nazarathy
language : en
Publisher: Springer Nature
Release Date : 2021-09-04
Statistics With Julia written by Yoni Nazarathy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-04 with Computers categories.
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.
Data Science With Julia
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Author : Paul D. McNicholas
language : en
Publisher: CRC Press
Release Date : 2019-01-02
Data Science With Julia written by Paul D. McNicholas and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-02 with Business & Economics categories.
"This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist."- Professor Charles Bouveyron, INRIA Chair in Data Science, Université Côte d’Azur, Nice, France 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 science methods that will motivate the reader, Data Science with Julia will get readers up to speed on key features of the Julia language and illustrate its facilities for data science and machine learning work. Features: Covers the core components of Julia as well as packages relevant to the input, manipulation and representation of data. Discusses several important topics in data science including supervised and unsupervised learning. Reviews data visualization using the Gadfly package, which was designed to emulate the very popular ggplot2 package in R. Readers will learn how to make many common plots and how to visualize model results. Presents how to optimize Julia code for performance. Will be an ideal source for people who already know R and want to learn how to use Julia (though no previous knowledge of R or any other programming language is required). The advantages of Julia for data science cannot be understated. Besides speed and ease of use, there are already over 1,900 packages available and Julia can interface (either directly or through packages) with libraries written in R, Python, Matlab, C, C++ or Fortran. The book is for senior undergraduates, beginning graduate students, or practicing data scientists who want to learn how to use Julia for data science. "This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist." Professor Charles Bouveyron INRIA Chair in Data Science Université Côte d’Azur, Nice, France
Julia For Machine Learning
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Author : Zacharias Voulgaris
language : en
Publisher:
Release Date : 2020-05-18
Julia For Machine Learning written by Zacharias Voulgaris and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-18 with Computers categories.
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 useful for data science work, including packages related to visuals, data structures, and mathematical processes. After building a foundation in Julia, we dive into machine learning, with foundational concepts reinforced by Julia use cases. The use cases build upon each other, reaching the level where we code a machine learning model from scratch using Julia. All of these use cases are available in a series of Jupyter notebooks. After covering dimensionality reduction methods, we explore additional machine learning topics, such as parallelization and data engineering. Although knowing how to use Julia is essential, it is even more important to communicate our results to the business, which we cover next, including how to work efficiently with project stakeholders. Our Julia journey then ascends to the finer points, including improving machine learning transparency, reconciling machine learning with statistics, and continuing to innovate with Julia. The final chapters cover future trends in the areas of Julia, machine learning, and artificial intelligence. We explain machine learning and Bayesian Statistics hybrid systems, and Julia's Gen language. We share many resources so you can continue to sharpen your Julia and machine learning skills. Each chapter concludes with a series of questions designed to reinforce that chapter's material, with answers provided in an appendix. Other appendices include an extensive glossary, bridge packages between Julia and other programming languages, and an overview of three data science-related heuristics implemented in Julia, which aren't in any of the existing packages.
Julia S Daughters
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Author : Colleen Faulkner
language : en
Publisher: Kensington Books
Release Date : 2015-11-01
Julia S Daughters written by Colleen Faulkner and has been published by Kensington Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-01 with Fiction categories.
A novel that explores the surprising ways that families—even the most fractured—can save each other, over and over again by the author of Finding Georgina. Julia Maxton can’t imagine anything worse than losing one of her three daughters—until the day seventeen-year-old Haley runs a stop sign, killing her younger sister Caitlin. Six weeks after the crash, the family is falling apart. Julia struggles not to show hostility toward Haley, but her deep-rooted anger won’t go away. Her husband, Ben, has drifted away emotionally. Their youngest daughter, Izzy, is lost in the shuffle. And despite Haley’s insistence that she’s fine, her actions scream otherwise. Fearing that she’s about to lose a second child, Julia decides to take Haley on a cross-country drive. Maybe somewhere between Nevada and Maine they can bridge the gulf between them. But first there will be painful questions to face—is Julia a good mother? Did she secretly love responsible, respectful Caitlin more than defiant Haley? Can Haley ever find peace with her mother—and herself—again? In Colleen Faulkner’s most thought-provoking and complex novel to date, an unthinkable tragedy becomes the starting place for a powerful journey toward healing and hope. Praise for Colleen Faulkner’s Just Like Other Daughters “This deeply moving story of maternal love and renewal will touch your heart. It’s a celebration of the capacity of the human heart to heal itself and embrace change, beautifully written with rare insight.”—Susan Wiggs, #1 New York Times–bestselling author “Be prepared to weep tears of sorrow as well as tears of joy. This is a novel you won’t soon forget.” —Holly Chamberlin, author of Barefoot in the Sand
Jeremy And Julia S Law
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Author : United States. Congress. House. Committee on the Judiciary. Subcommittee on Crime
language : en
Publisher:
Release Date : 2000
Jeremy And Julia S Law written by United States. Congress. House. Committee on the Judiciary. Subcommittee on Crime and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Family & Relationships categories.
Being Julia A Personal Account Of Living With Pathological Demand Avoidance
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Author : Ruth Fidler
language : en
Publisher:
Release Date : 2021-08
Being Julia A Personal Account Of Living With Pathological Demand Avoidance written by Ruth Fidler and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08 with categories.
"A personal account of Julia, a 32 year old woman who has been living with a diagnosis of PDA since she was 12. This is the first book on pathological demand avoidance syndrome (PDA) in adults. PDA is still a relatively new diagnosis but the first generation of people diagnosed with PDA are now well into adult. Parents are also likely to be interested in what could be in store for their children with PDA"--
Julia S House Goes Home
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Author : Ben Hatke
language : en
Publisher: First Second
Release Date : 2021-10-19
Julia S House Goes Home written by Ben Hatke and has been published by First Second this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-19 with Juvenile Fiction categories.
Julia and her house full of fantastic friends are on the move, from #1 New York Times-bestselling author Ben Hatke. Julia's flying house has come down to earth...and sprouted legs! Now it roams the landscape looking for the perfect spot to settle down. But just as Julia spots the Perfect Spot, off in the distance—her walking house trips! It tumbles down a steep mountain side, and Julia and her creatures are scattered across the hills while her runaway home continues rolling off on an adventure of its own. Now it's up to Julia to gather up her found family and track down her house, and maybe find that Perfect Spot once and for all. With surprises around every corner and new creatures galore, master storyteller Ben Hatke weaves a moving and satisfying final episode for Julia's House, completing the trilogy of three picture books.