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

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.

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

A charming, whimsically illustrated picture book about joie de vivre, told from the perspective of a child named Julia who loves to cook. Sure to be savored by readers of all ages. Julia and Simca are two young friends who agree that you can never use too much butter -- and that it is best to be a child forever. Sharing a love of cooking and having no wish to turn into big, busy people who worry too much and dawdle too little, they decide to create a feast for growing and staying young. A playful, scrumptious celebration of the joy of eating, the importance of never completely growing up and mastering the art of having a good time, Julia, Child is a fictional tale loosely inspired by the life and spirit of the very real Julia Child -- a story that should be taken with a grain of salt and a generous pat of butter.

“The Hollywood memoir that tells all . . . Sex. Drugs. Greed. Why, it sounds just like a movie.”—The New York Times Every memoir claims to bare it all, but Julia Phillips’s actually does. This is an addictive, gloves-off exposé from the producer of the classic films The Sting, Taxi Driver, and Close Encounters of the Third Kind—and the first woman ever to win an Academy Award for Best Picture—who made her name in Hollywood during the halcyon seventies and the yuppie-infested eighties and lived to tell the tale. Wickedly funny and surprisingly moving, You’ll Never Eat Lunch in This Town Again takes you on a trip through the dream-manufacturing capital of the world and into the vortex of drug addiction and rehab on the arm of one who saw it all, did it all, and took her leave. Praise for You'll Never Eat Lunch in This Town Again “One of the most honest books ever written about one of the most dishonest towns ever created.”—The Boston Globe “Gossip too hot for even the National Enquirer . . . Julia Phillips is not so much Hollywood’s Boswell as its Dante.”—Los Angeles Magazine “A blistering look at La La Land.”—USA Today “One of the nastiest, tastiest tell-alls in showbiz history.”—People

The bestselling memoir that's "irresistible....A kind of Bridget Jones meets The French Chef" (Philadelphia Inquirer) that inspired Julie & Julia, the major motion picture directed by Nora Ephron, starring Amy Adams as Julie and Meryl Streep as Julia. Nearing 30 and trapped in a dead-end secretarial job, Julie Powell reclaims her life by cooking every single recipe in Julia Child's legendary Mastering the Art of French Cooking in the span of one year. It's a hysterical, inconceivable redemptive journey -- life rediscovered through aspics, calves' brains and cré me brûlée.

"Julia walks like Python and runs like C". This phrase explains why Julia is fast growing as the most favoured option for data analytics and numerical computation. Julia is the fastest modern open-source language for data science, machine learning and scientific computing. 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, C++ or Java.Present books is both for beginners and experienced users. While experienced users can use this as a reference, new users can learn the fine details of julia program's composition. CHAPETRS: 1. Introduction, 2. Object Oriented programming, 3. Basic maths with Julia, 4. Complex Numbers, 5. Rational and Irrational numbers, 6. Mathematical Functions, 7.Arrays, 8. Arrays for matrix operations, 9. String,s 10. Functions, 11. Control Flow, 12. Input Output, 13.