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Podcasts
Microsoft Power Apps Pages in Action is a comprehensive beginner's guide for effortlessly building and customizing functional-rich web apps. Packed with real-world examples, it offers a practical understanding of the Power Pages environment.You’ll understand web pages by creating data tables and forms, progress to adding web pages, and delve into advanced techniques for seamlessly integrating web apps. Now, you’ll learn how to create responsive web pages, automate web apps, and use ChatGPT-assisted coding with code snippets for common requirements or needs. As you progress, you'll be guided on crafting portals and websites, encompassing the utilization of various functionalities and layouts. Progressively, you’ll discover how to seamlessly integrate them into your web pages across multiple Microsoft technologies, including Dataverse and Power Automate. Towards the end, you'll also learn how to implement cloud flows to provide access to external services and use cloud flows to provide user experiences running processes off the page.By the end of the book, you’ll have a solid understanding of Power Pages and be able to create web applications tailored to your unique needs.
While often considered a fast and compact programming language, Go usually creates large executables that are difficult to run on low-memory or low-powered devices such as microcontrollers or IoT. TinyGo is a new compiler that allows developers to compile their programs for such low-powered devices. As TinyGo supports all the standard features of the Go programming language, you won't have to tweak the code to fit on the microcontroller.This book is a hands-on guide packed full of interesting DIY projects that will show you how to build embedded applications. You will learn how to program sensors and work with microcontrollers such as Arduino UNO and Arduino Nano IoT 33. The chapters that follow will show you how to develop multiple real-world embedded projects using a variety of popular devices such as LEDs, 7-segment displays, and timers. Next, you will progress to build interactive prototypes such as a traffic lights system, touchless hand wash timer, and more. As you advance, you'll create an IoT prototype of a weather alert system and display those alerts on the TinyGo WASM dashboard. Finally, you will build a home automation project that displays stats on the TinyGo WASM dashboard.By the end of this microcontroller book, you will be equipped with the skills you need to build real-world embedded projects using the power of TinyGo.
This second edition tackles the biggest challenge facing companies in AI today: moving from prototypes to production. Fully updated to reflect the latest developments in the LangChain ecosystem, it captures how modern AI systems are developed, deployed, and scaled in enterprise environments. This edition places a strong focus on multi-agent architectures, robust LangGraph workflows, and advanced retrieval-augmented generation (RAG) pipelines.You'll explore design patterns for building agentic systems, with practical implementations of multi-agent setups for complex tasks. The book guides you through reasoning techniques such as Tree-of -Thoughts, structured generation, and agent handoffs—complete with error handling examples. Expanded chapters on testing, evaluation, and deployment address the demands of modern LLM applications, showing you how to design secure, compliant AI systems with built-in safeguards and responsible development principles. This edition also expands RAG coverage with guidance on hybrid search, re-ranking, and fact-checking pipelines to enhance output accuracy.Whether you're extending existing workflows or architecting multi-agent systems from scratch, this book provides the technical depth and practical instruction needed to design LLM applications ready for success in production environments.
Apache Tomcat (or simply Tomcat) is an open source servlet container developed by the Apache Software Foundation (ASF). The latest major stable release, Apache Tomcat version 7 implements the Servlet 3 and JavaServer Pages 2 specifications from the Java Community Process, and includes many additional features that make it a useful platform for developing and deploying web applications and web services.Apache Tomcat 7 Essentials follows a practical approach to teach installing, configuring, and maintaining Tomcat. It helps you to understand the middle architecture for hosting multiple websites and also provides the confidence to implement middleware support. It imparts to you the capacity to resolve migration issues and also provides regular maintenance solutions. This is the first and only book to cover upgrading to Tomcat 7 from previous versions.The journey of the reader starts at the beginner level and ends at the expert level. The content is designed in such a way that it balances the theory and practical approach for understanding concepts related to handling middle ware and web issues.In this book, you will go through a three-phase life cycle. The first cycle consists of installation, configuration of Tomcat 7 on different OS, and other configurations related to JDBC, port, deployment etc. The second phase deals with the building of enterprise application setup and high availability architecture (clustering load balancing). The third and critical phase will teach you to handle critical issues, performance tuning, and best practices for various environment stacks like dev/QA/stage/production.This book gives you a wider vision of using Tomcat 7 in web technologies and the skill to optimize their performance using Apache Tomcat 7.
Social Media and the Internet of Things have resulted in an avalanche of data. Data is powerful but not in its raw form; it needs to be processed and modeled, and Python is one of the most robust tools out there to do so. It has an array of packages for predictive modeling and a suite of IDEs to choose from. Using the Python programming language, analysts can use these sophisticated methods to build scalable analytic applications. This book is your guide to getting started with predictive analytics using Python.You'll balance both statistical and mathematical concepts, and implement them in Python using libraries such as pandas, scikit-learn, and NumPy. Through case studies and code examples using popular open-source Python libraries, this book illustrates the complete development process for analytic applications. Covering a wide range of algorithms for classification, regression, clustering, as well as cutting-edge techniques such as deep learning, this book illustrates explains how these methods work. You will learn to choose the right approach for your problem and how to develop engaging visualizations to bring to life the insights of predictive modeling.Finally, you will learn best practices in predictive modeling, as well as the different applications of predictive modeling in the modern world. The course provides you with highly practical content from the following Packt books:1. Learning Predictive Analytics with Python2. Mastering Predictive Analytics with Python