Patterns In Practice

A perfect fun activity book designed for early learners to develop pencil control and motor skills. By following the arrows and tracing the dotted lines, the little scholars can complete the tracing exercises and creative activities leading to development of their early writing skills. The child will also learn to identify, write and revise straight, curvy, zig zag lines and multiple patterns. The book is also an excellent first step to prepare for school.

This book takes you beyond the PHP basics to the enterprise development practices used by professional programmers. Updated for PHP 5.3 with new sections on closures, namespaces, and continuous integration, this edition will teach you about object features such as abstract classes, reflection, interfaces, and error handling. You’ll also discover object tools to help you learn more about your classes, objects, and methods. Then you’ll move into design patterns and the principles that make patterns powerful. You’ll learn both classic design patterns and enterprise and database patterns with easy-to-follow examples. Finally, you’ll discover how to put it all into practice to help turn great code into successful projects. You’ll learn how to manage multiple developers with Subversion, and how to build and install using Phing and PEAR. You’ll also learn strategies for automated testing and building, including continuous integration. Taken together, these three elements—object fundamentals, design principles, and best practices—will help you develop elegant and rock-solid systems.

An essential book for every jazz musician wishing to organize their practice time and priorities. Ever feel like you have a million things to practice, but you don't know where to start? Jerry condenses his decades in jazz education into a usable, practical book that highlights some of the best ways of dividing your practice time so that you can focus on the essentials, instead of just running over the same scales and tunes with no real direction. Includes a list of most of the Jazz play-along recordings available (by track) and analysis of each. Paperback.

Learn to combine security theory and code to produce secure systems Security is clearly a crucial issue to consider during the design and implementation of any distributed software architecture. Security patterns are increasingly being used by developers who take security into serious consideration from the creation of their work. Written by the authority on security patterns, this unique book examines the structure and purpose of security patterns, illustrating their use with the help of detailed implementation advice, numerous code samples, and descriptions in UML. Provides an extensive, up-to-date catalog of security patterns Shares real-world case studies so you can see when and how to use security patterns in practice Details how to incorporate security from the conceptual stage Highlights tips on authentication, authorization, role-based access control, firewalls, wireless networks, middleware, VoIP, web services security, and more Author is well known and highly respected in the field of security and an expert on security patterns Security Patterns in Practice shows you how to confidently develop a secure system step by step.

Patterns for Jazz stands as a monument among jazz educational materials. Condensed charts and pertinent explanations are conveniently inserted throughout the book to give greater clarity to the application of more than 400 patterns built on chords and scales---from simple (major) to complex (lydian augmented scales).

This classic book is the definitive real-world style guide for better Smalltalk programming. This author presents a set of patterns that organize all the informal experience successful Smalltalk programmers have learned the hard way. When programmers understand these patterns, they can write much more effective code. The concept of Smalltalk patterns is introduced, and the book explains why they work. Next, the book introduces proven patterns for working with methods, messages, state, collections, classes and formatting. Finally, the book walks through a development example utilizing patterns. For programmers, project managers, teachers and students -- both new and experienced. This book presents a set of patterns that organize all the informal experience of successful Smalltalk programmers. This book will help you understand these patterns, and empower you to write more effective code.

Discover best practices, reproducible architectures, and design patterns to help guide deep learning models from the lab into production. In Deep Learning Patterns and Practices you will learn: Internal functioning of modern convolutional neural networks Procedural reuse design pattern for CNN architectures Models for mobile and IoT devices Assembling large-scale model deployments Optimizing hyperparameter tuning Migrating a model to a production environment The big challenge of deep learning lies in taking cutting-edge technologies from R&D labs through to production. Deep Learning Patterns and Practices is here to help. This unique guide lays out the latest deep learning insights from author Andrew Ferlitsch’s work with Google Cloud AI. In it, you'll find deep learning models presented in a unique new way: as extendable design patterns you can easily plug-and-play into your software projects. Each valuable technique is presented in a way that's easy to understand and filled with accessible diagrams and code samples. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Discover best practices, design patterns, and reproducible architectures that will guide your deep learning projects from the lab into production. This awesome book collects and illuminates the most relevant insights from a decade of real world deep learning experience. You’ll build your skills and confidence with each interesting example. About the book Deep Learning Patterns and Practices is a deep dive into building successful deep learning applications. You’ll save hours of trial-and-error by applying proven patterns and practices to your own projects. Tested code samples, real-world examples, and a brilliant narrative style make even complex concepts simple and engaging. Along the way, you’ll get tips for deploying, testing, and maintaining your projects. What's inside Modern convolutional neural networks Design pattern for CNN architectures Models for mobile and IoT devices Large-scale model deployments Examples for computer vision About the reader For machine learning engineers familiar with Python and deep learning. About the author Andrew Ferlitsch is an expert on computer vision, deep learning, and operationalizing ML in production at Google Cloud AI Developer Relations. Table of Contents PART 1 DEEP LEARNING FUNDAMENTALS 1 Designing modern machine learning 2 Deep neural networks 3 Convolutional and residual neural networks 4 Training fundamentals PART 2 BASIC DESIGN PATTERN 5 Procedural design pattern 6 Wide convolutional neural networks 7 Alternative connectivity patterns 8 Mobile convolutional neural networks 9 Autoencoders PART 3 WORKING WITH PIPELINES 10 Hyperparameter tuning 11 Transfer learning 12 Data distributions 13 Data pipeline 14 Training and deployment pipeline

Crime control continues to be a growth industry, despite the drop in crime indicators throughout the nation. This volume shows how state-of-the-art geographic information systems (GIS) are revolutionizing urban law enforcement, with an award-winning program in New York City leading the way. Electronic "pin mapping" is used to display the incidence of crime, to stimulate effective strategies and decision making, and to evaluate the impact of recent activity applied to hotspots. The expert information presented by 12 contributors will guide departments without such tools to understand the latest technologies and successfully employ them. Besides describing and assessing cutting-edge techniques of crime mapping, this book emphasizes: * the organizational and intellectual contexts in which spatial analysis of crime takes place, * the technical problems of defining, measuring, interpreting, and predicting spatial concentrations of crime, * the common use of New York City crime data, and * practical applications of what is known (e.g., a review of mapping and analysis software packages using the same data set). Students, academics, researchers, practitioners, and policymakers in the areas of criminal justice, corrections, geography, social problems, law and government, public administration, and public policy analysis will need to look at the interdisciplinary nature of both GIS and spatial dimensions of crime in order to comprehend the variety of different approaches address important analytic problems, reassess public facilities and resources, and prepare to respond more quickly to emerging hotspots.