JavaScript Projects for Kids. Gear up for a roller-coaster ride into the world of JavaScript and programming with this easy-to-follow, fun, and entertaining project-based guide

Syed Omar Faruk Towaha

JavaScript is the most widely-used programming language for web development and that's not all! It has evolved over the years and is now being implemented in an array of environments from websites to robotics. Learning JavaScript will help you see the broader picture of web development.This book will take your imagination to new heights by teaching you how to work with JavaScript from scratch. It will introduce you to HTML and CSS to enhance the appearance of your applications. You’ll then use your skills to build on a cool Battleship game! From there, the book will introduce you to jQuery and show you how you can manipulate the DOM. You’ll get to play with some cool stuff using Canvas and will learn how to make use of Canvas to build a game on the lines of Pacman, only a whole lot cooler! Finally, it will show you a few tricks with OOP to make your code clean and will end with a few road maps on areas you can explore further.

Python Feature Engineering Cookbook. A complete guide to crafting powerful features for your machine learning models - Third Edition

Soledad Galli, Christoph Molnar

Streamline data preprocessing and feature engineering in your machine learning project with this third edition of the Python Feature Engineering Cookbook to make your data preparation more efficient.This guide addresses common challenges, such as imputing missing values and encoding categorical variables using practical solutions and open source Python libraries. You’ll learn advanced techniques for transforming numerical variables, discretizing variables, and dealing with outliers. Each chapter offers step-by-step instructions and real-world examples, helping you understand when and how to apply various transformations for well-prepared data.The book explores feature extraction from complex data types such as dates, times, and text. You’ll see how to create new features through mathematical operations and decision trees and use advanced tools like Featuretools and tsfresh to extract features from relational data and time series.By the end, you’ll be ready to build reproducible feature engineering pipelines that can be easily deployed into production, optimizing data preprocessing workflows and enhancing machine learning model performance.

Deciphering Object-Oriented Programming with C++. A practical, in-depth guide to implementing object-oriented design principles to create robust code

Dorothy R. Kirk

Even though object-oriented software design enables more easily maintainable code, companies choose C++ as an OO language for its speed. Object-oriented programming in C++ is not automatic – it is crucial to understand OO concepts and how they map to both C++ language features and OOP techniques. Distinguishing your code by utilizing well-tested, creative solutions, which can be found in popular design patterns, is crucial in today’s marketplace. This book will help you to harness OOP in C++ to write better code.Starting with the essential C++ features, which serve as building blocks for the key chapters, this book focuses on explaining fundamental object-oriented concepts and shows you how to implement them in C++. With the help of practical code examples and diagrams, you’ll learn how and why things work. The book’s coverage furthers your C++ repertoire by including templates, exceptions, operator overloading, STL, and OO component testing. You’ll discover popular design patterns with in-depth examples and understand how to use them as effective programming solutions to solve recurring OOP problems.By the end of this book, you’ll be able to employ essential and advanced OOP concepts to create enduring and robust software.

Generative AI on Google Cloud with LangChain. Design scalable generative AI solutions with Python, LangChain, and Vertex AI on Google Cloud

Leonid Kuligin, Jorge Zaldívar, Maximilian Tschochohei, Harrison Chase

The rapid transformation and enterprise adoption of GenAI has created an urgent demand for developers to quickly build and deploy AI applications that deliver real value. Written by three distinguished Google AI engineers and LangChain contributors who have shaped Google Cloud’s integration with LangChain and implemented AI solutions for Fortune 500 companies, this book bridges the gap between concept and implementation, exploring LangChain and Google Cloud’s enterprise-ready tools for scalable AI solutions.You'll start by exploring the fundamentals of large language models (LLMs) and how LangChain simplifies the development of AI workflows by connecting LLMs with external data and services. This book guides you through using essential tools like the Gemini and PaLM 2 APIs, Vertex AI, and Vertex AI Search to create sophisticated, production-ready GenAI applications. You'll also overcome the context limitations of LLMs by mastering advanced techniques like Retrieval-Augmented Generation (RAG) and external memory layers.Through practical patterns and real-world examples, you’ll gain everything you need to harness Google Cloud’s AI ecosystem, reducing the time to market while ensuring enterprise scalability. You’ll have the expertise to build robust GenAI applications that can be tailored to solve real-world business challenges.

Microsoft SharePoint 2010 Business Application Blueprints. Master SharePoint application development by building exciting SharePoint business solutions with this book and

Mike Oryszak, Michael C Oryszak

SharePoint is an incredibly powerful platform that can support a wide variety of business scenarios. In many cases it needs to be configured or extended in order to deliver fully featured business solutions.While some books merely talk about the capabilities of SharePoint in general and leave you to figure out how they apply to your situation, this book takes a different approach. Each chapter provides easy-to-understand, step-by-step instructions along with screenshots to help build exciting SharePoint business solutions that extend the platform. By the end of this book the reader will be a SharePoint developer to be reckoned with.This book will dive into a diverse set of real-world scenarios to deliver sample business solutions that can serve as the foundation for your own solutions. This book draws from the author's extensive experience with SharePoint to leverage the platforms underlying services to provide solutions that can support Social Collaboration, Content and Document Management, as well as project collaboration. Each chapter represents a new business solution that builds on the overall platform to deliver more complex solutions and more advanced techniques. By the end of the book the reader will understand how to leverage the SharePoint platform to build their own business solutions.

Deep Learning with PyTorch Lightning. Swiftly build high-performance Artificial Intelligence (AI) models using Python

Kunal Sawarkar

Building and implementing deep learning (DL) is becoming a key skill for those who want to be at the forefront of progress.But with so much information and complex study materials out there, getting started with DL can feel quite overwhelming.Written by an AI thought leader, Deep Learning with PyTorch Lightning helps researchers build their first DL models quickly and easily without getting stuck on the complexities. With its help, you’ll be able to maximize productivity for DL projects while ensuring full flexibility – from model formulation to implementation.Throughout this book, you’ll learn how to configure PyTorch Lightning on a cloud platform, understand the architectural components, and explore how they are configured to build various industry solutions. You’ll build a neural network architecture, deploy an application from scratch, and see how you can expand it based on your specific needs, beyond what the framework can provide.In the later chapters, you’ll also learn how to implement capabilities to build and train various models like Convolutional Neural Nets (CNN), Natural Language Processing (NLP), Time Series, Self-Supervised Learning, Semi-Supervised Learning, Generative Adversarial Network (GAN) using PyTorch Lightning.By the end of this book, you’ll be able to build and deploy DL models with confidence.

Natural Language Processing with AWS AI Services. Derive strategic insights from unstructured data with Amazon Textract and Amazon Comprehend

Mona M, Premkumar Rangarajan, Julien Simon

Natural language processing (NLP) uses machine learning to extract information from unstructured data. This book will help you to move quickly from business questions to high-performance models in production.To start with, you'll understand the importance of NLP in today’s business applications and learn the features of Amazon Comprehend and Amazon Textract to build NLP models using Python and Jupyter Notebooks. The book then shows you how to integrate AI in applications for accelerating business outcomes with just a few lines of code. Throughout the book, you'll cover use cases such as smart text search, setting up compliance and controls when processing confidential documents, real-time text analytics, and much more to understand various NLP scenarios. You'll deploy and monitor scalable NLP models in production for real-time and batch requirements. As you advance, you'll explore strategies for including humans in the loop for different purposes in a document processing workflow. Moreover, you'll learn best practices for auto-scaling your NLP inference for enterprise traffic.Whether you're new to ML or an experienced practitioner, by the end of this NLP book, you'll have the confidence to use AWS AI services to build powerful NLP applications.

Microsoft Dynamics CRM 2011 Scripting Cookbook. Over 50 recipes to extend system customization in Dynamics CRM 2011 through client-side scripting

Nicolae Tarla

With the increased adoption of Dynamics CRM 2011, more people are faced with various tasks including administering and customizing the environment. Microsoft Dynamics CRM is a Customer Relationship Management software package from Microsoft. It offers solutions to help companies with Sales, Customer Services, and Marketing. Microsoft Dynamics CRM is increasingly being used by businesses of all kinds and all sizes to reach audiences in new ways. Microsoft Dynamics CRM scripting extends system customization through the use of client-side scripting. It builds on the standard customization options offered by Dynamics CRM.Microsoft Dynamics CRM 2011 Scripting Cookbook walks the reader through the process of customizing an environment, from the most basic topics such as working with specific fields and types, working with the forms, and then moves on to the more advanced topics of scripting and debugging your scripts, designing new form and ribbon elements, and using additional well known public scripting libraries, as well as integrating external data sources into your environment.The first chapters of this book cover the basics of using the wizard-driven customization approach, packaging your customization into solutions, and adding basic scripts to interact with all the form elements. Further down the road we start introducing concepts around debugging your scripts, working with ribbon elements and navigation, taking advantage of other public scripting libraries and integrating them into your solutions, as well as light ways to bring social information in front of your users.Later chapters will assume knowledge of some of the most basic customizations presented at the beginning of the book. After completing the recipes in Microsoft Dynamics CRM 2011 Scripting Cookbook, you will have gained a new perspective on how far can you take the customization in Dynamics CRM. The additional details presented around using other public scripting libraries and integrating other data sources into your environment should serve as a start into investigating additional sources.