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.

Design and develop high-performance, reusable, and maintainable applications using traditional and modern Julia patterns with this comprehensive guide Key Features Explore useful design patterns along with object-oriented programming in Julia 1.0 Implement macros and metaprogramming techniques to make your code faster, concise, and efficient Develop the skills necessary to implement design patterns for creating robust and maintainable applications Book 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 learn Master the Julia language features that are key to developing large-scale software applications Discover design patterns to improve overall application architecture and design Develop reusable programs that are modular, extendable, performant, and easy to maintain Weigh up the pros and cons of using different design patterns for use cases Explore methods for transitioning from object-oriented programming to using equivalent or more advanced Julia techniques Who 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.

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.

Build production-ready machine learning and NLP systems using functional programming, development platforms, and cloud deployment. KEY FEATURES ● In-depth explanation and code samples highlighting the features of the Julia language. ● Extensive coverage of the Julia development ecosystem, package management, DevOps environment integration, and performance management tools. ● Exposure to the most important Julia packages that aid in Data and Text Analytics and Deep Learning. DESCRIPTION The Julia Programming language enables data scientists and programmers to create prototypes without sacrificing performance. Nonetheless, skeptics question its readiness for production deployments as a new platform with a 1.0 release in 2018. This book removes these doubts and offers a comprehensive glimpse at the language's use throughout developing and deploying production-ready applications. The first part of the book teaches experienced programmers and scientists about the Julia language features in great detail. The second part consists of gaining hands-on experience with the development environment, debugging, programming guidelines, package management, and cloud deployment strategies. In the final section, readers are introduced to a variety of third-party packages available in the Julia ecosystem for Data Processing, Text Analytics, and developing Deep Learning models. This book provides an extensive overview of the programming language and broadens understanding of the Julia ecosystem. As a result, it assists programmers, scientists, and information architects in selecting Julia for their next production deployments. WHAT YOU WILL LEARN ● Get to know the complete fundamentals of Julia programming. ● Explore Julia development frameworks and how to work with them. ● Dig deeper into the concepts and applications of functional programming. ● Uncover the Julia infrastructure for development, testing, and deployment. ● Learn to practice Julia libraries and the Julia package ecosystem. ● Processing Data, Deep Learning, and Natural Language Processing with Julia. WHO THIS BOOK IS FOR This book is for Data Scientists and application developers who want to learn about Julia application development. No prior Julia knowledge is required but knowing the basics of programming helps understand the objectives of this book. TABLE OF CONTENTS 1. Getting Started 2. Data Types 3. Conditions, Control Flow, and Iterations 4. Functions and Methods 5. Collections 6. Arrays 7. Strings 8. Metaprogramming 9. Standard Libraries Module 2. The Development Environment 10. Programming Guidelines in Julia 11. Performance Management 12. IDE and Debugging 13. Package Management 14. Deployment Module 3. Packages in Julia 15. Data Transformations 16. Text Analytics 17. Deep Learning

This is a brand new multi-media resource to support new and experienced primary school teachers develop skills of critical reflection in order to improve teaching and learning. An integrated DVD and textbook present a range of innovative case studies comprising video clips of real teachers in the classroom, together with context and narrative, step-by-step guidance through key issues, and commentary and debate from experts and professionals in the field.

Design thinking is an innovative problem-solving framework. This introduction is the first book to apply its methodology to student affairs and, in doing so, points the way to its potentially wider value to higher education as a whole.With its focus on empathy, which is the need to thoroughly understand users’ experiences, design thinking is user-centered, similar to how student affairs is student-centered. Because the focus of design thinking is to design with users, not for users, it aligns well with student affairs practice. In addition, its focus on empathy makes design thinking a more equitable approach to problem-solving than other methods because all users’ experiences—not just the experiences of majority or “average” student—need to be understood. Centering empathy in problem-solving processes can be a tool to disrupt higher education systems and practices.Design thinking is a framework to foster innovation, and, by its nature, innovation is about responding to change factors with creativity. In an organization, design thinking is inherently connected to organizational change and culture because the process is really about changing people to help them rally around a disruptive idea. Implementing design thinking on a campus may in itself be disruptive and require a change management process. The beauty of using design thinking is that it can also act as a framework to support organizational culture change.Design thinking approaches, with their focus on stakeholder needs (as opposed to systemic norms), collaborative solutions building, and structured empathy activities can offer a concrete tool to disrupt harmful systems of power and oppression. Design thinking as a process is not a magic solution to equity problems, though it can be a powerful tool to approach the development of solutions that can address inequity. Design thinking is data-driven and considers both qualitative and quantitative data as necessary to gain most complete picture of an issue and its possible solutions, whether a product, program, or service.Design thinking has numerous benefits to afford students affairs. Chapter 1 outlines a case for design thinking in student affairs. Chapter 2 discusses a brief history of design thinking, noting its germination and evolution to current practice. Chapter 3 provides a detailed description of each step of the design thinking model with pertinent examples to make the steps clearer. Chapter 4 explains the intersection of equity and design thinking while chapter 5 explores the use of design thinking for organizational change. Chapter 6 presents a new model for design thinking assessment. Chapter 7 addresses the challenges and limitations of the process. Chapter 8 concludes the book by discussing the alignment of design thinking and student affairs and outlining next steps.Design thinking is an innovative process that can change the way higher education and student affairs operates, realizing the potential it offers.

Provides instructions for a variety of projects, including creating graffiti furniture, a notepad holder, a cardboard castle, customized shirts, and doll clothes.

Innovation is a constant in human life and organization, arising from within a context-based culture of social structures and beliefs. This book re-examines the processes, practices, and mechanisms of innovation from an anthropological perspective, offering a theory of innovation as a dynamic multidimensional system. It uses methods and stories across a broad arc of time, place, social and cultural context, and subject matter. The chapters explore the intersection of virtual, local, and global dynamics and deepen our understanding of aspects and dimensions of innovation that challenge common perceptions, particularly in business and organizational environments. The approach aims to situate innovation in an integrated view of human and non-human ecologies, and to create common ground for a new form of research and practice.

Nicely produced catalog for an exhibition at the Denver Art Museum. Features 43 ceramic and bronze jars, bowls, cups, and flasks, and traces the progression of Chinese design and decoration from its beginnings at the hands of Neolithic potters up to the creation of funerary wares by Han and Tang cra