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Author: Malcolm Sherrington
Publisher: Packt Publishing Ltd
ISBN: 180512823X
Category : Computers
Languages : en
Pages : 506
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Book Description
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 visualisation Build on prior knowledge of programming languages such as Python, R, or C/C++ Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionJulia is a well-constructed programming language which was designed for fast execution speed by using just-in-time LLVM compilation techniques, thus eliminating the classic problem of performing analysis in one language and translating it for performance in a second. This book is a primer on Julia’s approach to a wide variety of topics such as scientific computing, statistics, machine learning, simulation, graphics, and distributed computing. Starting off with a refresher on installing and running Julia on different platforms, you’ll quickly get to grips with the core concepts and delve into a discussion on how to use Julia with various code editors and interactive development environments (IDEs). As you progress, you’ll see how data works through simple statistics and analytics and discover Julia's speed, its real strength, which makes it particularly useful in highly intensive computing tasks. You’ll also and observe how Julia can cooperate with external processes to enhance graphics and data visualization. Finally, you will explore metaprogramming and learn how it adds great power to the language and establish networking and distributed computing with Julia. By the end of this book, you’ll be confident in using Julia as part of your existing skill set.What you will learn Develop simple scripts in Julia using the REPL, code editors, and web-based IDEs Get to grips with Julia’s type system, multiple dispatch, metaprogramming, and macro development Interact with data files, tables, data frames, SQL, and NoSQL databases Delve into statistical analytics, linear programming, and optimization problems Create graphics and visualizations to enhance modeling and simulation in Julia Understand Julia's main approaches to machine learning, Bayesian analysis, and AI Who this book is for This book is not an introduction to computer programming, but a practical guide for developers who want to enhance their basic knowledge of Julia, or those wishing to augment their skill set by adding Julia to their existing roster of programming languages. Familiarity with a scripting language such as Python or R, or a compiled language such as C/C++, C# or Java, is a prerequisite.
Author: Malcolm Sherrington
Publisher: Packt Publishing Ltd
ISBN: 1783553324
Category : Computers
Languages : en
Pages : 410
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Book Description
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.
Author: Malcolm Sherrington
Publisher: Packt Publishing Ltd
ISBN: 180512823X
Category : Computers
Languages : en
Pages : 506
Get Book
Book Description
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 visualisation Build on prior knowledge of programming languages such as Python, R, or C/C++ Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionJulia is a well-constructed programming language which was designed for fast execution speed by using just-in-time LLVM compilation techniques, thus eliminating the classic problem of performing analysis in one language and translating it for performance in a second. This book is a primer on Julia’s approach to a wide variety of topics such as scientific computing, statistics, machine learning, simulation, graphics, and distributed computing. Starting off with a refresher on installing and running Julia on different platforms, you’ll quickly get to grips with the core concepts and delve into a discussion on how to use Julia with various code editors and interactive development environments (IDEs). As you progress, you’ll see how data works through simple statistics and analytics and discover Julia's speed, its real strength, which makes it particularly useful in highly intensive computing tasks. You’ll also and observe how Julia can cooperate with external processes to enhance graphics and data visualization. Finally, you will explore metaprogramming and learn how it adds great power to the language and establish networking and distributed computing with Julia. By the end of this book, you’ll be confident in using Julia as part of your existing skill set.What you will learn Develop simple scripts in Julia using the REPL, code editors, and web-based IDEs Get to grips with Julia’s type system, multiple dispatch, metaprogramming, and macro development Interact with data files, tables, data frames, SQL, and NoSQL databases Delve into statistical analytics, linear programming, and optimization problems Create graphics and visualizations to enhance modeling and simulation in Julia Understand Julia's main approaches to machine learning, Bayesian analysis, and AI Who this book is for This book is not an introduction to computer programming, but a practical guide for developers who want to enhance their basic knowledge of Julia, or those wishing to augment their skill set by adding Julia to their existing roster of programming languages. Familiarity with a scripting language such as Python or R, or a compiled language such as C/C++, C# or Java, is a prerequisite.
Author: Julia Child
Publisher: Knopf
ISBN: 0307958175
Category : Cooking
Languages : en
Pages : 857
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Book Description
NEW YORK TIMES BESTSELLER • The definitive cookbook on French cuisine for American readers: "What a cookbook should be: packed with sumptuous recipes, detailed instructions, and precise line drawings. Some of the instructions look daunting, but as Child herself says in the introduction, 'If you can read, you can cook.'" —Entertainment Weekly “I only wish that I had written it myself.” —James Beard Featuring 524 delicious recipes and over 100 instructive illustrations to guide readers every step of the way, Mastering the Art of French Cooking offers something for everyone, from seasoned experts to beginners who love good food and long to reproduce the savory delights of French cuisine. Julia Child, Simone Beck, and Louisette Bertholle break down the classic foods of France into a logical sequence of themes and variations rather than presenting an endless and diffuse catalogue of dishes—from historic Gallic masterpieces to the seemingly artless perfection of a dish of spring-green peas. Throughout, the focus is on key recipes that form the backbone of French cookery and lend themselves to an infinite number of elaborations—bound to increase anyone’s culinary repertoire. “Julia has slowly but surely altered our way of thinking about food. She has taken the fear out of the term ‘haute cuisine.’ She has increased gastronomic awareness a thousandfold by stressing the importance of good foundation and technique, and she has elevated our consciousness to the refined pleasures of dining." —Thomas Keller, The French Laundry
Author: Anshul Joshi
Publisher: Packt Publishing Ltd
ISBN: 1785885367
Category : Computers
Languages : en
Pages : 308
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Book Description
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.
Author: Julia Child
Publisher: Knopf Publishing Group
ISBN: 9780679748298
Category : Cookbooks
Languages : en
Pages : 0
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Book Description
Features interviews with sixteen American master chefs and presents fifty of their recipes, explaining individual techniques that make the dishes memorable.
Author: Julia Child
Publisher: Alfred a Knopf Incorporated
ISBN: 9780679438960
Category : Cooking
Languages : en
Pages : 302
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Book Description
With more than 100 color photographs by Micheal McLaughlin
Author: Avik Sengupta
Publisher: Packt Publishing Ltd
ISBN: 1788292308
Category : Computers
Languages : en
Pages : 210
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Book Description
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.
Author: Joan Reardon
Publisher: Houghton Mifflin Harcourt
ISBN: 0547504837
Category : Cooking
Languages : en
Pages : 432
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Book Description
With her outsize personality, Julia Child is known around the world by her first name alone. But despite that familiarity, how much do we really know of the inner Julia? Now more than 200 letters exchanged between Julia and Avis DeVoto, her friend and unofficial literary agent memorably introduced in the hit movie Julie & Julia, open the window on Julia’s deepest thoughts and feelings. This riveting correspondence, in print for the first time, chronicles the blossoming of a unique and lifelong friendship between the two women and the turbulent process of Julia’s creation of Mastering the Art of French Cooking, one of the most influential cookbooks ever written. Frank, bawdy, funny, exuberant, and occasionally agonized, these letters show Julia, first as a new bride in Paris, then becoming increasingly worldly and adventuresome as she follows her diplomat husband in his postings to Nice, Germany, and Norway. With commentary by the noted food historian Joan Reardon, and covering topics as diverse as the lack of good wine in the United States, McCarthyism, and sexual mores, these astonishing letters show America on the verge of political, social, and gastronomic transformation.
Author: Paul D. McNicholas
Publisher: CRC Press
ISBN: 1351013661
Category : Business & Economics
Languages : en
Pages : 220
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Book Description
"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
Author: Yoni Nazarathy
Publisher: Springer Nature
ISBN: 3030709019
Category : Computers
Languages : en
Pages : 527
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Book Description
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.
