Design Patterns For Large Language Models

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Machine Learning Design Patterns

Author : Valliappa Lakshmanan
Publisher : O'Reilly Media
ISBN 13 : 1098115759
Total Pages : 408 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Machine Learning Design Patterns by : Valliappa Lakshmanan

Download or read book Machine Learning Design Patterns written by Valliappa Lakshmanan and published by O'Reilly Media. This book was released on 2020-10-15 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice. In this book, you will find detailed explanations of 30 patterns for data and problem representation, operationalization, repeatability, reproducibility, flexibility, explainability, and fairness. Each pattern includes a description of the problem, a variety of potential solutions, and recommendations for choosing the best technique for your situation. You'll learn how to: Identify and mitigate common challenges when training, evaluating, and deploying ML models Represent data for different ML model types, including embeddings, feature crosses, and more Choose the right model type for specific problems Build a robust training loop that uses checkpoints, distribution strategy, and hyperparameter tuning Deploy scalable ML systems that you can retrain and update to reflect new data Interpret model predictions for stakeholders and ensure models are treating users fairly

Deep Learning Patterns and Practices

Author : Andrew Ferlitsch
Publisher : Simon and Schuster
ISBN 13 : 163835667X
Total Pages : 755 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Deep Learning Patterns and Practices by : Andrew Ferlitsch

Download or read book Deep Learning Patterns and Practices written by Andrew Ferlitsch and published by Simon and Schuster. This book was released on 2021-10-12 with total page 755 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Mastering Large Language Models with Python

Author : Raj Arun R
Publisher : Orange Education Pvt Ltd
ISBN 13 : 8197081824
Total Pages : 547 pages
Book Rating : 4.1/5 (97 download)

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Book Synopsis Mastering Large Language Models with Python by : Raj Arun R

Download or read book Mastering Large Language Models with Python written by Raj Arun R and published by Orange Education Pvt Ltd. This book was released on 2024-04-12 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Comprehensive Guide to Leverage Generative AI in the Modern Enterprise KEY FEATURES ● Gain a comprehensive understanding of LLMs within the framework of Generative AI, from foundational concepts to advanced applications. ● Dive into practical exercises and real-world applications, accompanied by detailed code walkthroughs in Python. ● Explore LLMOps with a dedicated focus on ensuring trustworthy AI and best practices for deploying, managing, and maintaining LLMs in enterprise settings. ● Prioritize the ethical and responsible use of LLMs, with an emphasis on building models that adhere to principles of fairness, transparency, and accountability, fostering trust in AI technologies. DESCRIPTION “Mastering Large Language Models with Python” is an indispensable resource that offers a comprehensive exploration of Large Language Models (LLMs), providing the essential knowledge to leverage these transformative AI models effectively. From unraveling the intricacies of LLM architecture to practical applications like code generation and AI-driven recommendation systems, readers will gain valuable insights into implementing LLMs in diverse projects. Covering both open-source and proprietary LLMs, the book delves into foundational concepts and advanced techniques, empowering professionals to harness the full potential of these models. Detailed discussions on quantization techniques for efficient deployment, operational strategies with LLMOps, and ethical considerations ensure a well-rounded understanding of LLM implementation. Through real-world case studies, code snippets, and practical examples, readers will navigate the complexities of LLMs with confidence, paving the way for innovative solutions and organizational growth. Whether you seek to deepen your understanding, drive impactful applications, or lead AI-driven initiatives, this book equips you with the tools and insights needed to excel in the dynamic landscape of artificial intelligence. WHAT WILL YOU LEARN ● In-depth study of LLM architecture and its versatile applications across industries. ● Harness open-source and proprietary LLMs to craft innovative solutions. ● Implement LLM APIs for a wide range of tasks spanning natural language processing, audio analysis, and visual recognition. ● Optimize LLM deployment through techniques such as quantization and operational strategies like LLMOps, ensuring efficient and scalable model usage. ● Master prompt engineering techniques to fine-tune LLM outputs, enhancing quality and relevance for diverse use cases. ● Navigate the complex landscape of ethical AI development, prioritizing responsible practices to drive impactful technology adoption and advancement. WHO IS THIS BOOK FOR? This book is tailored for software engineers, data scientists, AI researchers, and technology leaders with a foundational understanding of machine learning concepts and programming. It's ideal for those looking to deepen their knowledge of Large Language Models and their practical applications in the field of AI. If you aim to explore LLMs extensively for implementing inventive solutions or spearheading AI-driven projects, this book is tailored to your needs. TABLE OF CONTENTS 1. The Basics of Large Language Models and Their Applications 2. Demystifying Open-Source Large Language Models 3. Closed-Source Large Language Models 4. LLM APIs for Various Large Language Model Tasks 5. Integrating Cohere API in Google Sheets 6. Dynamic Movie Recommendation Engine Using LLMs 7. Document-and Web-based QA Bots with Large Language Models 8. LLM Quantization Techniques and Implementation 9. Fine-tuning and Evaluation of LLMs 10. Recipes for Fine-Tuning and Evaluating LLMs 11. LLMOps - Operationalizing LLMs at Scale 12. Implementing LLMOps in Practice Using MLflow on Databricks 13. Mastering the Art of Prompt Engineering 14. Prompt Engineering Essentials and Design Patterns 15. Ethical Considerations and Regulatory Frameworks for LLMs 16. Towards Trustworthy Generative AI (A Novel Framework Inspired by Symbolic Reasoning) Index

Design Patterns of Deep Learning with TensorFlow

Author : Thomas V Joseph
Publisher : BPB Publications
ISBN 13 : 9355516495
Total Pages : 402 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Design Patterns of Deep Learning with TensorFlow by : Thomas V Joseph

Download or read book Design Patterns of Deep Learning with TensorFlow written by Thomas V Joseph and published by BPB Publications. This book was released on 2024-06-06 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Architecting AI: Design patterns for building deep learning products KEY FEATURES ● Master foundational concepts in design patterns of deep learning. ● Benefit from practical insights shared by an industry professional. ● Learn to build data products using deep learning. DESCRIPTION Design Patterns of Deep Learning with TensorFlow is your comprehensive guide to learning deep learning from a design pattern perspective. In this book, we explore deep learning within the context of building hyper-personalization models, exploring its applications across various industries and scenarios. It starts by showing how deep learning enhances retail through customer segmentation and data analysis. You will learn neural networks, computer vision with CNNs, and NLP for analyzing customer behavior. This book addresses challenges like uneven data and optimizing models with techniques like backpropagation, hyperparameter tuning, and transfer learning. Finally, it covers setting up data pipelines and deploying your system. With practical tips and actionable advice, this book equips readers with the skills and strategies needed to thrive in today's competitive AI landscape. By the end of this book, you will be equipped with the knowledge and practical skills to build and deploy deep learning-powered hyper-personalization systems that deliver exceptional customer experiences. WHAT YOU WILL LEARN ● Understand about hyper-personalized AI models for tailored user experiences. ● Design principles of computer vision and NLP models. ● Inner working of transformers equipping readers to understand the intricacies of generative AI and large language models (LLMs) like ChatGPT. ● To get the best out of deep learning models through hyperparameter tuning and transfer learning. ● Learn how to build deployment pipelines to serve models into production environments seamlessly. WHO THIS BOOK IS FOR This book caters to both beginners and experienced practitioners in the field of data science and Machine Learning. Through practical examples, it simplifies complex ideas, linking them to design patterns. TABLE OF CONTENTS 1. Customer Hyper-personalization 2. Introduction to Design Patterns and Neural Networks 3. Design Patterns in Visual Representation Learning 4. Design Patterns for Non-Visual Representation Learning 5. Design Patterns for Transformers 6. Data Distribution Challenges and Strategies 7. Model Training Philosophies 8. Hyperparameter Tuning 9. Transfer Learning 10. Setting Up Data and Deployment Pipelines

Design Patterns

Author : Erich Gamma
Publisher : Pearson Deutschland GmbH
ISBN 13 : 9783827328243
Total Pages : 512 pages
Book Rating : 4.3/5 (282 download)

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Book Synopsis Design Patterns by : Erich Gamma

Download or read book Design Patterns written by Erich Gamma and published by Pearson Deutschland GmbH. This book was released on 1995 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software -- Software Engineering.

Haskell Design Patterns

Author : Ryan Lemmer
Publisher : Packt Publishing Ltd
ISBN 13 : 1783988738
Total Pages : 166 pages
Book Rating : 4.7/5 (839 download)

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Book Synopsis Haskell Design Patterns by : Ryan Lemmer

Download or read book Haskell Design Patterns written by Ryan Lemmer and published by Packt Publishing Ltd. This book was released on 2015-11-06 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take your Haskell and functional programming skills to the next level by exploring new idioms and design patterns About This Book Explore Haskell on a higher level through idioms and patterns Get an in-depth look into the three strongholds of Haskell: higher-order functions, the Type system, and Lazy evaluation Expand your understanding of Haskell and functional programming, one line of executable code at a time Who This Book Is For If you're a Haskell programmer with a firm grasp of the basics and ready to move more deeply into modern idiomatic Haskell programming, then this book is for you. What You Will Learn Understand the relationship between the “Gang of Four” OOP Design Patterns and Haskell Try out three ways of Streaming I/O: imperative, Lazy, and Iteratee based Explore the pervasive pattern of Composition: from function composition through to high-level composition with Lenses Synthesize Functor, Applicative, Arrow and Monad in a single conceptual framework Follow the grand arc of Fold and Map on lists all the way to their culmination in Lenses and Generic Programming Get a taste of Type-level programming in Haskell and how this relates to dependently-typed programming Retrace the evolution, one key language extension at a time, of the Haskell Type and Kind systems Place the elements of modern Haskell in a historical framework In Detail Design patterns and idioms can widen our perspective by showing us where to look, what to look at, and ultimately how to see what we are looking at. At their best, patterns are a shorthand method of communicating better ways to code (writing less, more maintainable, and more efficient code). This book starts with Haskell 98 and through the lens of patterns and idioms investigates the key advances and programming styles that together make "modern Haskell". Your journey begins with the three pillars of Haskell. Then you'll experience the problem with Lazy I/O, together with a solution. You'll also trace the hierarchy formed by Functor, Applicative, Arrow, and Monad. Next you'll explore how Fold and Map are generalized by Foldable and Traversable, which in turn is unified in a broader context by functional Lenses. You'll delve more deeply into the Type system, which will prepare you for an overview of Generic programming. In conclusion you go to the edge of Haskell by investigating the Kind system and how this relates to Dependently-typed programming. Style and approach Using short pieces of executable code, this guide gradually explores the broad pattern landscape of modern Haskell. Ideas are presented in their historical context and arrived at through intuitive derivations, always with a focus on the problems they solve.

Game Programming Patterns

Author : Robert Nystrom
Publisher : Genever Benning
ISBN 13 : 0990582914
Total Pages : 353 pages
Book Rating : 4.9/5 (95 download)

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Book Synopsis Game Programming Patterns by : Robert Nystrom

Download or read book Game Programming Patterns written by Robert Nystrom and published by Genever Benning. This book was released on 2014-11-03 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: The biggest challenge facing many game programmers is completing their game. Most game projects fizzle out, overwhelmed by the complexity of their own code. Game Programming Patterns tackles that exact problem. Based on years of experience in shipped AAA titles, this book collects proven patterns to untangle and optimize your game, organized as independent recipes so you can pick just the patterns you need. You will learn how to write a robust game loop, how to organize your entities using components, and take advantage of the CPUs cache to improve your performance. You'll dive deep into how scripting engines encode behavior, how quadtrees and other spatial partitions optimize your engine, and how other classic design patterns can be used in games.

Mastering Python Design Patterns

Author : Kamon Ayeva
Publisher : Packt Publishing Ltd
ISBN 13 : 1837637652
Total Pages : 296 pages
Book Rating : 4.8/5 (376 download)

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Book Synopsis Mastering Python Design Patterns by : Kamon Ayeva

Download or read book Mastering Python Design Patterns written by Kamon Ayeva and published by Packt Publishing Ltd. This book was released on 2024-05-31 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn Python design patterns such as Observer, Proxy, Throttling, Dependency Injection, and Anti-Patterns to develop efficient, scalable applications. Key Features Master essential design principles to build robust software architecture with the latest features in Python 3.10 Leverage concurrency, async patterns, and testing strategies for optimal performance Apply SOLID principles and advanced patterns to real-world Python projects Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAs software systems become increasingly complex, maintaining code quality, scalability, and efficiency can be a daunting challenge. Mastering Python Design Patterns is an essential resource that equips you with the tools you need to overcome these hurdles and create robust, scalable applications. The book delves into design principles and patterns in Python, covering both classic and modern patterns, and apply them to solve daily challenges as a Python developer or architect. Co-authored by two Python experts with a combined experience of three decades, this new edition covers creational, structural, behavioral, and architectural patterns, including concurrency, asynchronous, and performance patterns. You'll find out how these patterns are relevant to various domains, such as event handling, concurrency, distributed systems, and testing. Whether you're working on user interfaces (UIs), web apps, APIs, data pipelines, or AI models, this book equips you with the knowledge to build robust and maintainable software. The book also presents Python anti-patterns, helping you avoid common pitfalls and ensuring your code remains clean and efficient. By the end of this book, you'll be able to confidently apply classic and modern Python design patterns to build robust, scalable applications.What you will learn Master fundamental design principles and SOLID concepts Become familiar with Gang of Four (GoF) patterns and apply them effectively in Python Explore architectural design patterns to architect robust systems Delve into concurrency and performance patterns for optimized code Discover distributed systems patterns for scalable applications Get up to speed with testing patterns to ensure code reliability and maintainability Develop modular, decoupled systems and manage dependencies efficiently Who this book is for With a focus on intermediate and advanced Python programmers, this book offers valuable insights into the best practices for software design, backed by real-world examples and decades of experience. The book is also an excellent resource for software architects and team leaders who want to improve code quality and maintainability across their projects. Prior Python proficiency, including syntax, data structures, and OOP will help you get the most out of this book.

Design Patterns Explained

Author : Alan Shalloway
Publisher : Pearson Education
ISBN 13 : 0321630041
Total Pages : 449 pages
Book Rating : 4.3/5 (216 download)

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Book Synopsis Design Patterns Explained by : Alan Shalloway

Download or read book Design Patterns Explained written by Alan Shalloway and published by Pearson Education. This book was released on 2004-10-12 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: "One of the great things about the book is the way the authors explain concepts very simply using analogies rather than programming examples–this has been very inspiring for a product I'm working on: an audio-only introduction to OOP and software development." –Bruce Eckel "...I would expect that readers with a basic understanding of object-oriented programming and design would find this book useful, before approaching design patterns completely. Design Patterns Explained complements the existing design patterns texts and may perform a very useful role, fitting between introductory texts such as UML Distilled and the more advanced patterns books." –James Noble Leverage the quality and productivity benefits of patterns–without the complexity! Design Patterns Explained, Second Edition is the field's simplest, clearest, most practical introduction to patterns. Using dozens of updated Java examples, it shows programmers and architects exactly how to use patterns to design, develop, and deliver software far more effectively. You'll start with a complete overview of the fundamental principles of patterns, and the role of object-oriented analysis and design in contemporary software development. Then, using easy-to-understand sample code, Alan Shalloway and James Trott illuminate dozens of today's most useful patterns: their underlying concepts, advantages, tradeoffs, implementation techniques, and pitfalls to avoid. Many patterns are accompanied by UML diagrams. Building on their best-selling First Edition, Shalloway and Trott have thoroughly updated this book to reflect new software design trends, patterns, and implementation techniques. Reflecting extensive reader feedback, they have deepened and clarified coverage throughout, and reorganized content for even greater ease of understanding. New and revamped coverage in this edition includes Better ways to start "thinking in patterns" How design patterns can facilitate agile development using eXtreme Programming and other methods How to use commonality and variability analysis to design application architectures The key role of testing into a patterns-driven development process How to use factories to instantiate and manage objects more effectively The Object-Pool Pattern–a new pattern not identified by the "Gang of Four" New study/practice questions at the end of every chapter Gentle yet thorough, this book assumes no patterns experience whatsoever. It's the ideal "first book" on patterns, and a perfect complement to Gamma's classic Design Patterns. If you're a programmer or architect who wants the clearest possible understanding of design patterns–or if you've struggled to make them work for you–read this book.

Analysis Patterns

Author : Martin Fowler
Publisher : Addison-Wesley Professional
ISBN 13 : 9780201895421
Total Pages : 398 pages
Book Rating : 4.8/5 (954 download)

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Book Synopsis Analysis Patterns by : Martin Fowler

Download or read book Analysis Patterns written by Martin Fowler and published by Addison-Wesley Professional. This book was released on 1997 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Martin Fowler is a consultant specializing in object-oriented analysis and design. This book presents and discusses a number of object models derived from various problem domains. All patterns and models presented have been derived from the author's own consulting work and are based on real business cases.

Python 3 Object Oriented Programming

Author : Dusty Phillips
Publisher : Packt Publishing Ltd
ISBN 13 : 1849511276
Total Pages : 591 pages
Book Rating : 4.8/5 (495 download)

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Book Synopsis Python 3 Object Oriented Programming by : Dusty Phillips

Download or read book Python 3 Object Oriented Programming written by Dusty Phillips and published by Packt Publishing Ltd. This book was released on 2010-07-26 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: Harness the power of Python 3 objects.

Head First Design Patterns

Author : Eric Freeman
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 0596800746
Total Pages : 694 pages
Book Rating : 4.5/5 (968 download)

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Book Synopsis Head First Design Patterns by : Eric Freeman

Download or read book Head First Design Patterns written by Eric Freeman and published by "O'Reilly Media, Inc.". This book was released on 2004-10-25 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using research in neurobiology, cognitive science and learning theory, this text loads patterns into your brain in a way that lets you put them to work immediately, makes you better at solving software design problems, and improves your ability to speak the language of patterns with others on your team.

Hands-On Software Architecture with Golang

Author : Jyotiswarup Raiturkar
Publisher : Packt Publishing Ltd
ISBN 13 : 1788625102
Total Pages : 716 pages
Book Rating : 4.7/5 (886 download)

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Book Synopsis Hands-On Software Architecture with Golang by : Jyotiswarup Raiturkar

Download or read book Hands-On Software Architecture with Golang written by Jyotiswarup Raiturkar and published by Packt Publishing Ltd. This book was released on 2018-12-07 with total page 716 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand the principles of software architecture with coverage on SOA, distributed and messaging systems, and database modeling Key FeaturesGain knowledge of architectural approaches on SOA and microservices for architectural decisionsExplore different architectural patterns for building distributed applicationsMigrate applications written in Java or Python to the Go languageBook Description Building software requires careful planning and architectural considerations; Golang was developed with a fresh perspective on building next-generation applications on the cloud with distributed and concurrent computing concerns. Hands-On Software Architecture with Golang starts with a brief introduction to architectural elements, Go, and a case study to demonstrate architectural principles. You'll then move on to look at code-level aspects such as modularity, class design, and constructs specific to Golang and implementation of design patterns. As you make your way through the chapters, you'll explore the core objectives of architecture such as effectively managing complexity, scalability, and reliability of software systems. You'll also work through creating distributed systems and their communication before moving on to modeling and scaling of data. In the concluding chapters, you'll learn to deploy architectures and plan the migration of applications from other languages. By the end of this book, you will have gained insight into various design and architectural patterns, which will enable you to create robust, scalable architecture using Golang. What you will learnUnderstand architectural paradigms and deep dive into MicroservicesDesign parallelism/concurrency patterns and learn object-oriented design patterns in GoExplore API-driven systems architecture with introduction to REST and GraphQL standardsBuild event-driven architectures and make your architectures anti-fragileEngineer scalability and learn how to migrate to Go from other languagesGet to grips with deployment considerations with CICD pipeline, cloud deployments, and so onBuild an end-to-end e-commerce (travel) application backend in GoWho this book is for Hands-On Software Architecture with Golang is for software developers, architects, and CTOs looking to use Go in their software architecture to build enterprise-grade applications. Programming knowledge of Golang is assumed.

Real-time Design Patterns

Author : Bruce Powel Douglass
Publisher : Addison-Wesley Professional
ISBN 13 : 9780201699562
Total Pages : 528 pages
Book Rating : 4.6/5 (995 download)

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Book Synopsis Real-time Design Patterns by : Bruce Powel Douglass

Download or read book Real-time Design Patterns written by Bruce Powel Douglass and published by Addison-Wesley Professional. This book was released on 2003 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: This revised and enlarged edition of a classic in Old Testament scholarship reflects the most up-to-date research on the prophetic books and offers substantially expanded discussions of important new insight on Isaiah and the other prophets.

Cocoa Design Patterns

Author : Erik Buck
Publisher : Pearson Education
ISBN 13 : 0321591208
Total Pages : 526 pages
Book Rating : 4.3/5 (215 download)

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Book Synopsis Cocoa Design Patterns by : Erik Buck

Download or read book Cocoa Design Patterns written by Erik Buck and published by Pearson Education. This book was released on 2009-09-01 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Next time some kid shows up at my door asking for a code review, this is the book that I am going to throw at him.” –Aaron Hillegass, founder of Big Nerd Ranch, Inc., and author of Cocoa Programming for Mac OS X Unlocking the Secrets of Cocoa and Its Object-Oriented Frameworks Mac and iPhone developers are often overwhelmed by the breadth and sophistication of the Cocoa frameworks. Although Cocoa is indeed huge, once you understand the object-oriented patterns it uses, you’ll find it remarkably elegant, consistent, and simple. Cocoa Design Patterns begins with the mother of all patterns: the Model-View-Controller (MVC) pattern, which is central to all Mac and iPhone development. Encouraged, and in some cases enforced by Apple’s tools, it’s important to have a firm grasp of MVC right from the start. The book’s midsection is a catalog of the essential design patterns you’ll encounter in Cocoa, including Fundamental patterns, such as enumerators, accessors, and two-stage creation Patterns that empower, such as singleton, delegates, and the responder chain Patterns that hide complexity, including bundles, class clusters, proxies and forwarding, and controllers And that’s not all of them! Cocoa Design Patterns painstakingly isolates 28 design patterns, accompanied with real-world examples and sample code you can apply to your applications today. The book wraps up with coverage of Core Data models, AppKit views, and a chapter on Bindings and Controllers. Cocoa Design Patterns clearly defines the problems each pattern solves with a foundation in Objective-C and the Cocoa frameworks and can be used by any Mac or iPhone developer.

Design Patterns and Contracts

Author : Jean-Marc Jézéquel
Publisher : Addison Wesley Longman
ISBN 13 :
Total Pages : 376 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Design Patterns and Contracts by : Jean-Marc Jézéquel

Download or read book Design Patterns and Contracts written by Jean-Marc Jézéquel and published by Addison Wesley Longman. This book was released on 2000 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book introduces the fundamentals of software contracts and illustrates how Design by Contract contributes to the optimal use of design patterns in a quality-oriented software engineering process. The Design by Contract approach to software construction provides a methodological guideline for building systems that are robust, modular, and simple." "Readers will find value in the book's overview of the Object Constraint Language, a precise modeling language that allows Design by Contract to be used with the industry standard Unified Modeling Language (UML). Although written in Eiffel, this book makes an excellent companion for developers who are using languages such as Java and UML. Throughout the book the authors discuss specific implementation issues and provide complete, ready-to-be-compiled examples of the use of each pattern." "They introduce design patterns and Design by Contract in the context of software engineering, and show how these tools are used to guide and document system design."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved

Microservices Design Patterns with Java

Author : Sergey Seroukhov
Publisher : BPB Publications
ISBN 13 : 9355517009
Total Pages : 516 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Microservices Design Patterns with Java by : Sergey Seroukhov

Download or read book Microservices Design Patterns with Java written by Sergey Seroukhov and published by BPB Publications. This book was released on 2024-05-24 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: Java microservices: The ultimate pattern guide KEY FEATURES ● Covers 70+ Java microservices patterns in detail. ● Practical code examples for immediate application. ● Strategies from architecture to deployment explained. DESCRIPTION Microservices, a popular software architecture style, breaks down applications into small, independent services built with Java, a versatile and widely used programming language. This book serves as a roadmap for mastering design patterns that solve common problems encountered during microservices development in Java. Start with microservices setup for team success. Discover various architectural styles and communication approaches for seamless service interaction. Learn effective data management within microservices. Acquire skills for handling unforeseen scenarios in transactions and crafting secure APIs for user service access. Lastly, grasp crucial monitoring, testing, and deployment practices to identify and address issues, ensuring smooth production deployment. "Microservices Design Patterns with Java" positions itself as an indispensable tool in the arsenal of today’s software professionals. It not only aids in navigating the complexities of microservices architecture but also enhances the reader's ability to deliver robust, high-quality software solutions efficiently. WHAT YOU WILL LEARN ● Architect scalable, resilient microservices using Java-based design patterns. ● Implement efficient communication and data management strategies within microservices. ● Design secure, robust external APIs for microservices integration and interaction. ● Monitor and maintain microservices with advanced logging, tracing, and health checks. ● Deploy microservices with Docker, Kubernetes, and serverless platforms effectively. ● Automate CI/CD pipelines for microservices for streamlined development and deployment. WHO THIS BOOK IS FOR This book is for seasoned microservices developers seeking to expand their repertoire of design patterns and practices, as well as for newcomers looking for comprehensive guidance on patterns and practices throughout the entire development lifecycle. It is tailored for architects, developers, team leads, and DevOps engineers. TABLE OF CONTENTS 1. Defining Product Vision and Organization Structure 2. Architecting Microservices Systems 3. Organizing and Documenting Code 4. Configuring Microservices 5. Implementing Communication 6. Working with Data 7. Handling Complex Business Transactions 8. Exposing External APIs 9. Monitoring Microservices 10. Packaging Microservices 11. Testing Microservices 12. Scripting Environments 13. Automating CI/CD Pipelines 14. Assembling and Deploying Products