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Building Data Driven Applications With Llamaindex
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Book Synopsis Building Data-Driven Applications with LlamaIndex by : ANDREI. GHEORGHIU
Download or read book Building Data-Driven Applications with LlamaIndex written by ANDREI. GHEORGHIU and published by . This book was released on 2024-05-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This perfectly timed resource provides clear explanations, hands-on examples and practical skills to ingest, parse, index, and query information to build AI applications that produce insightful, high-quality responses grounded in facts.
Book Synopsis Building Data-Driven Applications with LlamaIndex by : Andrei Gheorghiu
Download or read book Building Data-Driven Applications with LlamaIndex written by Andrei Gheorghiu and published by Packt Publishing Ltd. This book was released on 2024-05-10 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solve real-world problems easily with artificial intelligence (AI) using the LlamaIndex data framework to enhance your LLM-based Python applications Key Features Examine text chunking effects on RAG workflows and understand security in RAG app development Discover chatbots and agents and learn how to build complex conversation engines Build as you learn by applying the knowledge you gain to a hands-on project Book DescriptionGenerative AI, such as Large Language Models (LLMs) possess immense potential. These models simplify problems but have limitations, including contextual memory constraints, prompt size issues, real-time data gaps, and occasional "hallucinations." With this book, you’ll go from preparing the environment to gradually adding features and deploying the final project. You’ll gradually progress from fundamental LLM concepts to exploring the features of this framework. Practical examples will guide you through essential steps for personalizing and launching your LlamaIndex projects. Additionally, you’ll overcome LLM limitations, build end-user applications, and acquire skills in ingesting, indexing, querying, and connecting dynamic knowledge bases, covering Generative AI and LLM, as well as LlamaIndex deployment. As you approach the conclusion, you’ll delve into customization, gaining a holistic grasp of LlamaIndex's capabilities and applications. By the end of the book, you’ll be able to resolve challenges in LLMs and build interactive AI-driven applications by applying best practices in prompt engineering and troubleshooting Generative AI projects.What you will learn Understand the LlamaIndex ecosystem and common use cases Master techniques to ingest and parse data from various sources into LlamaIndex Discover how to create optimized indexes tailored to your use cases Understand how to query LlamaIndex effectively and interpret responses Build an end-to-end interactive web application with LlamaIndex, Python, and Streamlit Customize a LlamaIndex configuration based on your project needs Predict costs and deal with potential privacy issues Deploy LlamaIndex applications that others can use Who this book is for This book is for Python developers with basic knowledge of natural language processing (NLP) and LLMs looking to build interactive LLM applications. Experienced developers and conversational AI developers will also benefit from the advanced techniques covered in the book to fully unleash the capabilities of the framework.
Book Synopsis Learn OpenAI Whisper by : Josué R. Batista
Download or read book Learn OpenAI Whisper written by Josué R. Batista and published by Packt Publishing Ltd. This book was released on 2024-05-31 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master automatic speech recognition (ASR) with groundbreaking generative AI for unrivaled accuracy and versatility in audio processing Key Features Uncover the intricate architecture and mechanics behind Whisper's robust speech recognition Apply Whisper's technology in innovative projects, from audio transcription to voice synthesis Navigate the practical use of Whisper in real-world scenarios for achieving dynamic tech solutions Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAs the field of generative AI evolves, so does the demand for intelligent systems that can understand human speech. Navigating the complexities of automatic speech recognition (ASR) technology is a significant challenge for many professionals. This book offers a comprehensive solution that guides you through OpenAI's advanced ASR system. You’ll begin your journey with Whisper's foundational concepts, gradually progressing to its sophisticated functionalities. Next, you’ll explore the transformer model, understand its multilingual capabilities, and grasp training techniques using weak supervision. The book helps you customize Whisper for different contexts and optimize its performance for specific needs. You’ll also focus on the vast potential of Whisper in real-world scenarios, including its transcription services, voice-based search, and the ability to enhance customer engagement. Advanced chapters delve into voice synthesis and diarization while addressing ethical considerations. By the end of this book, you'll have an understanding of ASR technology and have the skills to implement Whisper. Moreover, Python coding examples will equip you to apply ASR technologies in your projects as well as prepare you to tackle challenges and seize opportunities in the rapidly evolving world of voice recognition and processing.What you will learn Integrate Whisper into voice assistants and chatbots Use Whisper for efficient, accurate transcription services Understand Whisper's transformer model structure and nuances Fine-tune Whisper for specific language requirements globally Implement Whisper in real-time translation scenarios Explore voice synthesis capabilities using Whisper's robust tech Execute voice diarization with Whisper and NVIDIA's NeMo Navigate ethical considerations in advanced voice technology Who this book is for Learn OpenAI Whisper is designed for a diverse audience, including AI engineers, tech professionals, and students. It's ideal for those with a basic understanding of machine learning and Python programming, and an interest in voice technology, from developers integrating ASR in applications to researchers exploring the cutting-edge possibilities in artificial intelligence.
Book Synopsis Generative AI for Cloud Solutions by : Paul Singh
Download or read book Generative AI for Cloud Solutions written by Paul Singh and published by Packt Publishing Ltd. This book was released on 2024-04-22 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore Generative AI, the engine behind ChatGPT, and delve into topics like LLM-infused frameworks, autonomous agents, and responsible innovation, to gain valuable insights into the future of AI Key Features Gain foundational GenAI knowledge and understand how to scale GenAI/ChatGPT in the cloud Understand advanced techniques for customizing LLMs for organizations via fine-tuning, prompt engineering, and responsible AI Peek into the future to explore emerging trends like multimodal AI and autonomous agents Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionGenerative artificial intelligence technologies and services, including ChatGPT, are transforming our work, life, and communication landscapes. To thrive in this new era, harnessing the full potential of these technologies is crucial. Generative AI for Cloud Solutions is a comprehensive guide to understanding and using Generative AI within cloud platforms. This book covers the basics of cloud computing and Generative AI/ChatGPT, addressing scaling strategies and security concerns. With its help, you’ll be able to apply responsible AI practices and other methods such as fine-tuning, RAG, autonomous agents, LLMOps, and Assistants APIs. As you progress, you’ll learn how to design and implement secure and scalable ChatGPT solutions on the cloud, while also gaining insights into the foundations of building conversational AI, such as chatbots. This process will help you customize your AI applications to suit your specific requirements. By the end of this book, you’ll have gained a solid understanding of the capabilities of Generative AI and cloud computing, empowering you to develop efficient and ethical AI solutions for a variety of applications and services.What you will learn Get started with the essentials of generative AI, LLMs, and ChatGPT, and understand how they function together Understand how we started applying NLP to concepts like transformers Grasp the process of fine-tuning and developing apps based on RAG Explore effective prompt engineering strategies Acquire insights into the app development frameworks and lifecycles of LLMs, including important aspects of LLMOps, autonomous agents, and Assistants APIs Discover how to scale and secure GenAI systems, while understanding the principles of responsible AI Who this book is for This artificial intelligence book is for aspiring cloud architects, data analysts, cloud developers, data scientists, AI researchers, technical business leaders, and technology evangelists looking to understanding the interplay between GenAI and cloud computing. Some chapters provide a broad overview of GenAI, which are suitable for readers with basic to no prior AI experience, aspiring to harness AI's potential. Other chapters delve into technical concepts that require intermediate data and AI skills. A basic understanding of a cloud ecosystem is required to get the most out of this book.
Book Synopsis Data-Driven Services with Silverlight 2 by : John Papa
Download or read book Data-Driven Services with Silverlight 2 written by John Papa and published by "O'Reilly Media, Inc.". This book was released on 2008-12-16 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive book teaches you how to build data-rich business applications with Silverlight 2 that draw on multiple sources of data. Packed with reusable examples, Data-Driven Services with Silverlight 2 covers all of the data access and web service tools you need, including data binding, the LINQ data querying component, RESTful and SOAP web service support, cross-domain web service calls, and Microsoft's new ADO.NET Data Services and the ADO.NET Entity Framework. With this book, you will: Know when and how to use LINQ to JSON, LINQ to XML, and LINQ to Objects Learn how Silverlight 2 applications bind, pass, read, save, query, and present data Discover how your application can call web services to work with SOAP, REST, RSS, AtomPub, POX and JSON Design REST, ASMX, and WCF web services that communicate with Silverlight 2 Harness RESTful web services such as Digg, Amazon, and Twitter Retrieve and save data using the new Entity Framework and WCF Work with RESTful ADO.NET Data Services and its Silverlight client library to move data between your Silverlight application and a database Data-Driven Services with Silverlight 2 offers many tips and tricks for building data-rich business applications, and covers the scenarios you're most likely to encounter. Complete examples in C# and VB can be downloaded from the book's companion website.
Book Synopsis Building Data-Driven Applications with Danfo.js by : Rising Odegua
Download or read book Building Data-Driven Applications with Danfo.js written by Rising Odegua and published by Packt Publishing. This book was released on 2021-09 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get hands-on with building data-driven applications using Danfo.js in combination with other data analysis tools and techniques Key Features: Build microservices to perform data transformation and ML model serving in JavaScript Explore what Danfo.js is and how it helps with data analysis and data visualization Combine Danfo.js and TensorFlow.js for machine learning Book Description: Most data analysts use Python and pandas for data processing for the convenience and performance these libraries provide. However, JavaScript developers have always wanted to use machine learning in the browser as well. This book focuses on how Danfo.js brings data processing, analysis, and ML tools to JavaScript developers and how to make the most of this library to build data-driven applications. Starting with an overview of modern JavaScript, you'll cover data analysis and transformation with Danfo.js and Dnotebook. The book then shows you how to load different datasets, combine and analyze them by performing operations such as handling missing values and string manipulations. You'll also get to grips with data plotting, visualization, aggregation, and group operations by combining Danfo.js with Plotly. As you advance, you'll create a no-code data analysis and handling system and create-react-app, react-table, react-chart, Draggable.js, and tailwindcss, and understand how to use TensorFlow.js and Danfo.js to build a recommendation system. Finally, you'll build a Twitter analytics dashboard powered by Danfo.js, Next.js, node-nlp, and Twit.js. By the end of this app development book, you'll be able to build and embed data analytics, visualization, and ML capabilities into any JavaScript app in server-side Node.js or the browser. What You Will Learn: Perform data experimentation and analysis with Danfo.js and Dnotebook Build machine learning applications using Danfo.js integrated with TensorFlow.js Connect Danfo.js with popular database applications to aid data analysis Create a no-code data analysis and handling system using internal libraries Develop a recommendation system with Danfo.js and TensorFlow.js Build a Twitter analytics dashboard for sentiment analysis and other types of data insights Who this book is for: This book is for data analysts, data scientists, and JavaScript developers who want to create data-driven applications in the JavaScript/Node.js environment. Intermediate-level knowledge of JavaScript programming and data science using pandas is expected.
Book Synopsis Patterns for Data-Driven Web Apps by : Yannis Papakonstantinou
Download or read book Patterns for Data-Driven Web Apps written by Yannis Papakonstantinou and published by O'Reilly Media, Incorporated. This book was released on 2012-09-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern web applications offer elegant and intuitive interfaces to data-driven business processes, but the power of such Web 2.0 data-driven applications comes at an increased development and maintenance cost. Technologies such as web service APIs, rich JavaScript/HTML5 components, and disparate mobile and tablet platforms require many lines of glue code to interface between multiple layers, sub-systems, and languages. This book provides web architects and developers with clean Model-View-Controller patterns, along with valuable information on technologies that reduce interfacing code between layers. Together, these patterns and technologies lead to rapid development, modular applications, and effective code management.
Book Synopsis Advances in Web-based GIS, Mapping Services and Applications by : Songnian Li
Download or read book Advances in Web-based GIS, Mapping Services and Applications written by Songnian Li and published by CRC Press. This book was released on 2011-05-09 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Web-based GIS, Mapping Services and Applications is published as part of ISPRS WG IV/5 effort, and aims at presenting (1) Recent technological advancements, e.g., new developments under Web 2.0, map mashups, neogeography and the like; (2) Balanced theoretical discussions and technical implementations; (3) Commentary on the current stage
Book Synopsis The Machine Learning Solutions Architect Handbook by : David Ping
Download or read book The Machine Learning Solutions Architect Handbook written by David Ping and published by Packt Publishing Ltd. This book was released on 2024-04-15 with total page 603 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design, build, and secure scalable machine learning (ML) systems to solve real-world business problems with Python and AWS Purchase of the print or Kindle book includes a free PDF eBook Key Features Go in-depth into the ML lifecycle, from ideation and data management to deployment and scaling Apply risk management techniques in the ML lifecycle and design architectural patterns for various ML platforms and solutions Understand the generative AI lifecycle, its core technologies, and implementation risks Book DescriptionDavid Ping, Head of GenAI and ML Solution Architecture for global industries at AWS, provides expert insights and practical examples to help you become a proficient ML solutions architect, linking technical architecture to business-related skills. You'll learn about ML algorithms, cloud infrastructure, system design, MLOps , and how to apply ML to solve real-world business problems. David explains the generative AI project lifecycle and examines Retrieval Augmented Generation (RAG), an effective architecture pattern for generative AI applications. You’ll also learn about open-source technologies, such as Kubernetes/Kubeflow, for building a data science environment and ML pipelines before building an enterprise ML architecture using AWS. As well as ML risk management and the different stages of AI/ML adoption, the biggest new addition to the handbook is the deep exploration of generative AI. By the end of this book , you’ll have gained a comprehensive understanding of AI/ML across all key aspects, including business use cases, data science, real-world solution architecture, risk management, and governance. You’ll possess the skills to design and construct ML solutions that effectively cater to common use cases and follow established ML architecture patterns, enabling you to excel as a true professional in the field.What you will learn Apply ML methodologies to solve business problems across industries Design a practical enterprise ML platform architecture Gain an understanding of AI risk management frameworks and techniques Build an end-to-end data management architecture using AWS Train large-scale ML models and optimize model inference latency Create a business application using artificial intelligence services and custom models Dive into generative AI with use cases, architecture patterns, and RAG Who this book is for This book is for solutions architects working on ML projects, ML engineers transitioning to ML solution architect roles, and MLOps engineers. Additionally, data scientists and analysts who want to enhance their practical knowledge of ML systems engineering, as well as AI/ML product managers and risk officers who want to gain an understanding of ML solutions and AI risk management, will also find this book useful. A basic knowledge of Python, AWS, linear algebra, probability, and cloud infrastructure is required before you get started with this handbook.
Book Synopsis Cassandra: The Definitive Guide by : Jeff Carpenter
Download or read book Cassandra: The Definitive Guide written by Jeff Carpenter and published by "O'Reilly Media, Inc.". This book was released on 2016-06-29 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you’ll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This expanded second edition—updated for Cassandra 3.0—provides the technical details and practical examples you need to put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra’s non-relational design, with special attention to data modeling. If you’re a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you harness Cassandra’s speed and flexibility. Understand Cassandra’s distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh—the CQL shell Create a working data model and compare it with an equivalent relational model Develop sample applications using client drivers for languages including Java, Python, and Node.js Explore cluster topology and learn how nodes exchange data Maintain a high level of performance in your cluster Deploy Cassandra on site, in the Cloud, or with Docker Integrate Cassandra with Spark, Hadoop, Elasticsearch, Solr, and Lucene
Book Synopsis Mastering Web Application Development with AngularJS by : Pawel Kozlowski
Download or read book Mastering Web Application Development with AngularJS written by Pawel Kozlowski and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book will be a step-by-step guide showing the readers how to build a complete web app with AngularJSJavaScript developers who want to learn AngularJS for developing web apps. Knowledge of JavaScript and HTML is expected. No knowledge of AngularJS is required.
Book Synopsis Test-Driven Machine Learning by : Justin Bozonier
Download or read book Test-Driven Machine Learning written by Justin Bozonier and published by Packt Publishing Ltd. This book was released on 2015-11-27 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Control your machine learning algorithms using test-driven development to achieve quantifiable milestones About This Book Build smart extensions to pre-existing features at work that can help maximize their value Quantify your models to drive real improvement Take your knowledge of basic concepts, such as linear regression and Naive Bayes classification, to the next level and productionalize their models Play what-if games with your models and techniques by following the test-driven exploration process Who This Book Is For This book is intended for data technologists (scientists, analysts, or developers) with previous machine learning experience who are also comfortable reading code in Python. You may be starting, or have already started, a machine learning project at work and are looking for a way to deliver results quickly to enable rapid iteration and improvement. Those looking for examples of how to isolate issues in models and improve them will find ideas in this book to move forward. What You Will Learn Get started with an introduction to test-driven development and familiarize yourself with how to apply these concepts to machine learning Build and test a neural network deterministically, and learn to look for niche cases that cause odd model behaviour Learn to use the multi-armed bandit algorithm to make optimal choices in the face of an enormous amount of uncertainty Generate complex and simple random data to create a wide variety of test cases that can be codified into tests Develop models iteratively, even when using a third-party library Quantify model quality to enable collaboration and rapid iteration Adopt simpler approaches to common machine learning algorithms Take behaviour-driven development principles to articulate test intent In Detail Machine learning is the process of teaching machines to remember data patterns, using them to predict future outcomes, and offering choices that would appeal to individuals based on their past preferences. Machine learning is applicable to a lot of what you do every day. As a result, you can't take forever to deliver your first iteration of software. Learning to build machine learning algorithms within a controlled test framework will speed up your time to deliver, quantify quality expectations with your clients, and enable rapid iteration and collaboration. This book will show you how to quantifiably test machine learning algorithms. The very different, foundational approach of this book starts every example algorithm with the simplest thing that could possibly work. With this approach, seasoned veterans will find simpler approaches to beginning a machine learning algorithm. You will learn how to iterate on these algorithms to enable rapid delivery and improve performance expectations. The book begins with an introduction to test driving machine learning and quantifying model quality. From there, you will test a neural network, predict values with regression, and build upon regression techniques with logistic regression. You will discover how to test different approaches to naive bayes and compare them quantitatively, along with how to apply OOP (Object-Oriented Programming) and OOP patterns to test-driven code, leveraging SciKit-Learn. Finally, you will walk through the development of an algorithm which maximizes the expected value of profit for a marketing campaign by combining one of the classifiers covered with the multiple regression example in the book. Style and approach An example-driven guide that builds a deeper knowledge and understanding of iterative machine learning development, test by test. Each topic develops solutions using failing tests to illustrate problems; these are followed by steps to pass the tests, simply and straightforwardly. Topics which use generated data explore how the data was generated, alongside explanations of the assumptions behind different machine learning techniques.
Book Synopsis Enterprise GENERATIVE AI Well-Architected Framework & Patterns by : Suvoraj Biswas
Download or read book Enterprise GENERATIVE AI Well-Architected Framework & Patterns written by Suvoraj Biswas and published by Packt Publishing Ltd. This book was released on 2024-04-04 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elevate your AI projects with our course on Enterprise Generative AI using AWS's Well-Architected Framework, paving the way for innovation and efficiency Key Features Learn to secure AI environments Achieve excellence in AI architecture Implement AI with AWS solutions Book DescriptionThe course begins with an insightful introduction to the burgeoning field of Generative AI, laying down a robust framework for understanding its applications within the AWS ecosystem. The course focuses on meticulously detailing the five pillars of the AWS Well-Architected Framework—Operational Excellence, Security, Compliance, Reliability, and Cost Optimization. Each module is crafted to provide you with a comprehensive understanding of these essential areas, integrating Generative AI technologies. You'll learn how to navigate the complexities of securing AI systems, ensuring they comply with legal and regulatory standards, and designing them for unparalleled reliability. Practical sessions on cost optimization strategies for AI projects will empower you to deliver value without compromising on performance or scalability. Furthermore, the course delves into System Architecture Excellence, emphasizing the importance of robust design principles in creating effective Generative AI solutions. The course wraps up by offering a forward-looking perspective on the Common Architectural Pattern for FM/LLM Integration & Adoption within the AWS framework. You'll gain hands-on experience with AWS solutions specifically tailored for Generative AI applications, including Lambda, API Gateway, and DynamoDB, among others.What you will learn Apply Operational Excellence in AI Secure Generative AI implementations Navigate compliance in AI solutions Ensure reliability in AI systems Optimize costs for AI projects Integrate FM/LLM with AWS solutions Who this book is for This course is designed for IT professionals, solutions architects, and DevOps engineers looking to specialize in Generative AI. A foundational understanding of AWS and cloud computing is beneficial.
Author :Geng Sun (Researcher on educational technology) Publisher :World Scientific ISBN 13 :9811207461 Total Pages :151 pages Book Rating :4.8/5 (112 download)
Book Synopsis Adaptive Micro Learning by : Geng Sun (Researcher on educational technology)
Download or read book Adaptive Micro Learning written by Geng Sun (Researcher on educational technology) and published by World Scientific. This book was released on 2020 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Pinch Analysis for Energy and Carbon Footprint Reduction by : Ian C. Kemp
Download or read book Pinch Analysis for Energy and Carbon Footprint Reduction written by Ian C. Kemp and published by Butterworth-Heinemann. This book was released on 2020-08-08 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pinch Analysis for Energy and Carbon Footprint Reduction is the only dedicated pinch analysis and process integration guide, covering a breadth of material from foundational knowledge to in-depth processes. Readers are introduced to the main concepts of pinch analysis, the calculation of energy targets for a given process, the pinch temperature, and the golden rules of pinch-based design to meet energy targets. More advanced topics include the extraction of stream data necessary for a pinch analysis, the design of heat exchanger networks, hot and cold utility systems, combined heat and power (CHP), refrigeration, batch- and time-dependent situations, and optimization of system operating conditions, including distillation, evaporation, and solids drying. This new edition offers tips and techniques for practical applications, supported by several detailed case studies. Examples stem from a wide range of industries, including buildings and other non-process situations. This reference is a must-have guide for chemical process engineers, food and biochemical engineers, plant engineers, and professionals concerned with energy optimization, including building designers. Covers practical analysis of both new and existing processes Teaches readers to extract the stream data necessary for a pinch analysis and describes the targeting process in depth; includes a downloadable spreadsheet to calculate energy targets Demonstrates how to achieve the targets by heat recovery, utility system design, and process change Updated to include carbon footprint, water and hydrogen pinch, developments in industrial applications and software, site data reconciliation, additional case studies, and answers to selected exercises
Book Synopsis Oracle Database 11gR2 Performance Tuning Cookbook by : Ciro Fiorillo
Download or read book Oracle Database 11gR2 Performance Tuning Cookbook written by Ciro Fiorillo and published by Packt Publishing Ltd. This book was released on 2012-01-01 with total page 835 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book you will find both examples and theoretical concepts covered. Every recipe is based on a script/procedure explained step-by-step, with screenshots, while theoretical concepts are explained in the context of the recipe, to explain why a solution performs better than another. This book is aimed at software developers, software and data architects, and DBAs who are using or are planning to use the Oracle Database, who have some experience and want to solve performance problems faster and in a rigorous way. If you are an architect who wants to design better applications, a DBA who is keen to dig into the causes of performance issues, or a developer who wants to learn why and where the application is running slow, this is the book for you. Basic knowledge of SQL language is required and general knowledge of the Oracle Database architecture is preferable.
Book Synopsis Drupal 8 Development Cookbook by : Matt Glaman
Download or read book Drupal 8 Development Cookbook written by Matt Glaman and published by . This book was released on 2016-03-08 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 60 hands-on recipes that get you acquainted with Drupal 8's features and help you harness its powerAbout This Book- Discover the enhanced content authoring experience that comes with Drupal 8 and how to customize it- Take advantage of the broadened multilingual and tools of the new version to provide an internationalized website- This step-by-step guide will show you how to deploy from development, staging, and production of a website with Drupal 8's brand new configuration management systemWho This Book Is ForThis book is for those have been working with Drupal, such as site builders, back-end developers, and front-end developers, and who are eager to see what awaits when they start using Drupal 8What You Will Learn- Extend Drupal through contributed or custom modules and themes- Develop an internationalized website with Drupal's multilingual tools- Integrate third-party front-end and back-end libraries with Drupal- Turn Drupal into a web services provider using REST- Create a mobile-first responsive Drupal application- Run SimpleTest and PHPUnit to test Drupal- Understand the plugin system that powers many of Drupal 8's new APIs to extend its functionality- Get to grips with the mechanics of the configuration management system and the ability to import and export site configurationIn DetailBegan as a message board, Drupal today is open source software maintained and developed by a community of over 1,000,000 users and developers. Drupal is used by numerous local businesses to global corporations and diverse organizations all across the globe. With Drupal 8?s recent release and the exciting features it brings, this book will be your go-to guide to experimenting with all of these features through helpful recipes.We'll start by showing you how to customize and configure the Drupal environment as per your requirements, as well as how to install third-party libraries and then use them in the Drupal environment. Then we will move on to creating blocks and custom modules with the help of libraries. We will show you to use the latest mobile-first feature of Drupal 8, which will help you make your apps responsive across all the major platforms. This book will also show you how to incorporate multilingual facilities in your sites, use web services and third-party plugins with your applications from inside Drupal 8, and test and deploy your appsStyle and approachThis practical, recipe-based book will provide you with actionable techniques and methods to improve your existing Drupal development skills. It will get you started with Drupal 8 and will be your reference guide to building new applications with Drupal.
