Explore applying the Hexagonal Architecture within your application, whether within an open source framework or your own bespoke system. Finally, look into integrating Bounded Contexts, using REST and Messaging approaches.

    "More concretely," the authors explain, "it is the controlled manipulation of mathematical formulas, using a collection of techniques for solving problems."

    It is thousands of years old, and the same today as it has always been. The great traditional buildings of the past, the villages and tents and temples in which man feels at home, have always been made by people who were very close to the center of this way. It is not possible to make great buildings, or great towns, beautiful places, places where you feel yourself, places where you feel alive, except by following this way. And, as you will see, this way will lead anyone who looks for it to buildings which are themselves as ancient in their form as the trees and hills, and as our faces are.”The Timeless Way of Building is the introductory volume to Alexander’s other works, A Pattern Language and The Oregon Experiment, in the Center for Environmental Structure series.

    Requiring essentially no background apart from mathematical maturity, the book can be used as a reference for self-study for anyone interested in complexity, including physicists, mathematicians, and other scientists, as well as a textbook for a variety of courses and seminars. More than 300 exercises are included with a selected hint set.

    Now he brings new meaning to the art of autobiography with The Artful Dodger: Images and Reflections, in which he infuses the tale of his professional and artistic life with warmth and wit. The Artful Dodger surveys the vast and varied territory that Bantock's work encompasses: from his English art-school days to paperback covers, pure abstract experimentation to pop-up books, Griffin & Sabine to his most recent work. Bantock's own words lend a highly personal, often revealing, always entertaining angle to more than 350 resplendent images. As rich in life as it is in art, The Artful Dodger reveals the creative range of a modern graphic master.

    The goal of the book is to share the techniques of the best companies. This book is aimed primarily at Product Managers working on technology-powered products. That includes the hundreds of "tech companies" like Google, Facebook, Amazon, Twitter and the like, as well as the thousands of companies moving to leverage technology (financial companies, media companies, retailers, manufacturers, nearly every industry). Inspired covers companies from early stage start-ups to large, established companies. The products might be consumer products or devices, business services for small businesses to enterprises, internal tools, and developer platforms.Inspired is secondarily aimed at the designers, engineers, user researchers and data scientists that work closely with the product managers on product teams at these same companies.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    It's the most powerful tool that any photographer has at their disposal. Whether the lens is turned to people, wildlife or the landscape, it is the creative use of light that transforms a snapshot into a photograph." Chasing the Light" enlightens photographers of all levels and helps them make the most of this most important tool--light. With over 25 years of experience in the photographic industry as a photographer, writer, and educator, Ibarionex Perello has developed an approach to photography that has helped photography enthusiasts from all over the world discover and nurture their own passion for photography. In" Chasing the Light, "he brings his palpable passion to the subject as he guides the reader through many scenarios--landscape, close-up, portraits--using his principle of seeing and evaluating the light and then using the right features and controls on the camera to make the most of it. Utilizing a very personal approach rooted in decades of experience, he shares how to see, control, and use available light to create beautiful and personal photographs. By developing the way photographers "see" light, "Chasing the Light "aids them to make the connection between the camera and their own eye. "Chasing the Light "removes the mystery of the buttons and dials that control focus, exposure, white balance, and sharpness and free the photographer to explore their own unlimited creativity. In an industry so filled with obsession over gear, " Chasing the Light" removes much of that from the discussion and returns the reader to a basic, yet inspirational, conversation about leveraging light to take evocative photographs.

    Assuming a minimum of mathematical preparation, Basic Category Theory for Computer Scientists provides a straightforward presentation of the basic constructions and terminology of category theory, including limits, functors, natural transformations, adjoints, and cartesian closed categories. Four case studies illustrate applications of category theory to programming language design, semantics, and the solution of recursive domain equations. A brief literature survey offers suggestions for further study in more advanced texts.

    But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian Statistics the Fun Way will change that.This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how likely Han Solo is to survive a flight through an asteroid shower, how to win an argument about conspiracy theories, and whether a burglary really was a burglary, to name a few examples.By using these off-the-beaten-track examples, the author actually makes learning statistics fun. And you'll learn real skills, like how to:- How to measure your own level of uncertainty in a conclusion or belief- Calculate Bayes theorem and understand what it's useful for- Find the posterior, likelihood, and prior to check the accuracy of your conclusions- Calculate distributions to see the range of your data- Compare hypotheses and draw reliable conclusions from themNext time you find yourself with a sheaf of survey results and no idea what to do with them, turn to Bayesian Statistics the Fun Way to get the most value from your data.

    Madhusudhan Konda provides an overview of these, including strings in switch statements, multi-catch exception handling, try-with-resource statements, the new File System API, extensions of the JVM, support for dynamically-typed languages, and the fork and join framework for task parallelism.

    Written by the lead technical writer at one of Silicon Valley's most exciting companies, Modern Technical Writing is a set of guiding principles and thoughtful recommendations for new and experienced technical writers alike. Not a reference manual, and not comprehensive, it instead serves as an introduction to a sensible writing and publishing process, one that has eluded the profession for too long.

    In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

    By the end of the book, you'll understand how to develop a large, maintainable, and performant application with AngularJS.Guided by two engineers who worked on AngularJS at Google, you'll learn the components needed to build data-driven applications, using declarative programming and the Model-view-controller pattern. You'll also learn how to conduct unit tests on each part of your application.Learn how to use controllers for moving data to and from viewsUnderstand when to use AngularJS services instead of controllersCommunicate with the server to store, fetch, and update data asynchronouslyKnow when to use AngularJS filters for converting data and values to different formatsImplement single-page applications, using ngRoute to select views and navigationDive into basic and advanced directives for creating reusable componentsWrite an end-to-end test on a live version of your entire applicationUse best practices, guidelines, and tools throughout the development cycle