Accelerating Nonprofit Impact with Salesforce. Implement Nonprofit Cloud for efficient and cost-effective operations to drive your nonprofit mission

Melissa Hill Dees

Salesforce Nonprofit Cloud enables a 360-degree view of people related to your nonprofit to connect fundraising, program management, and grantmaking. With a single, unified view of every interaction with constituents, nonprofits can create strong relationships with the community and streamline internal processes.The book starts by covering the tools and features that make up Nonprofit Cloud, helping you understand their standard functionalities and how Nonprofit Success Pack's (NPSP) data architecture is critical to implementation. You’ll learn how the Nonprofit Cloud Program Management Module can connect your programs, automate case management, and track client progress. Next, you’ll explore the tools for creating a change management process to increase user adoption. Moving ahead, you’ll understand how to configure necessary permissions for NPSP administration and explore how declarative tools help better align the goals of a nonprofit organization. Toward the concluding chapters, you’ll cover customizations, deployment, custom reports, and dashboards for fundraising analytics, as well as best practices for data management to maintain its integrity.By the end of this Salesforce book, you’ll be able to build and configure the Nonprofit Cloud for a variety of use cases to achieve maximum social impact with the least amount of technical debt.

VMware Workstation - No Experience Necessary. Get started from scratch with Vmware Workstation using this essential guide. Taking you from installation on Windows or Linux through to advanced virtual machine features, you'll be setting up a test environment in no time

Sander van Vugt

VMware Workstation runs on Linux as well as Windows hosts and handles different virtual machine formats, which allows you to share your work with users of other virtualization platforms, including VirtualBox, VMware Player, and VMware vSphere environments.VMware Workstation - No Experience Necessary helps you in getting started with VMware Workstation. You'll learn how to install VMware Workstation in any circumstance, and how to create virtual machines and keep different configurations for each virtual machine, which helps in setting up extensive test environments. You'll also learn how to share these virtual machines with users of other virtualization products as well as the cloud.In VMware Workstation - No Experience Necessary you'll start learning about different virtualization solutions. In this introduction you'll learn how VMware Workstation differs from other workstation virtualization platforms such as Oracle Virtual Box, and from data centre virtualization solutions such as VMware vSphere. Next, you'll learn how to install VMware Workstation on either a Windows or a Linux host and how to create virtual machines on these host platforms.After installing virtual machines, you'll learn about advanced virtual machine features, including advanced networking and storage setups, which allow you to mirror a data centre setup as closely as possible. An important part of the setup of such an environment is working with snapshots and clones, which is discussed in detail. You'll also learn how to use virtual machines that are created on other host computers.The final part of the book teaches you how to share virtual machines with others. You'll learn how to upload virtual machines to VMware vSphere, and how to share virtual machines with users of VMware Player.

Enterprise LMS with Adobe Learning Manager. Design and develop world-class learning experiences for your employees, partners, and customers

Damien Bruyndonckx, Sean Mullen

Looking to deliver scalable online learning solutions? Adobe's latest enterprise Learning Manager is a powerful learning management system (LMS) that enables organizations to deliver, manage, and track immersive learning experiences. This book unlocks the full potential of Learning Manager, guiding you to become an adept administrator, author, or teacher, experimenting with Learning Manager from different perspectives.You'll gain an in-depth understanding of the features and their impact on your business. From platform setup to course administration, you’ll be able to create blended learning experiences, deploy your content to different devices, and explore Learning Manager's features for monitoring your students' progress on a daily basis. Finally, you'll discover techniques for organizing and maintaining your course catalog while elevating the learner experience.By the end of the book, you’ll be able to implement your organization’s training strategy, deliver engaging learning experiences, and generate meaningful reports to monitor their effectiveness.

IPython Notebook Essentials. Compute scientific data and execute code interactively with NumPy and SciPy

Luiz Felipe Martins

Creating Actionable Insights Using CRM Analytics. Learn how to build insightful and actionable data analytics dashboards

Mark Tossell

CRM Analytics, formerly known as Tableau CRM and Einstein Analytics, is a powerful and versatile data analytics platform that enables organizations to extract, combine, transform, and visualize their data to create valuable business insights.Creating Actionable Insights Using CRM Analytics provides a hands-on approach to CRM Analytics implementation and associated methodologies that will have you up and running and productive in no time. The book provides you with detailed explanations of essential concepts to help you to gain confidence and become competent in using the CRM Analytics platform for data extraction, combination, transformation, visualization, and action. As you make progress, you'll understand what CRM Analytics is and where it provides business value. You'll also learn how to bring your data together in CRM Analytics, build datasets and lenses for data analysis, create effective analytics dashboards for visualization and consumption by end users, and build dashboard actions that take the user from data to insight to action with ease.By the end of this book, you'll be able to solve business problems using CRM Analytics and design, build, test, and deploy analytics dashboards efficiently.

Microsoft Dynamics 365 AI for Business Insights. Transform your business processes with the practical implementation of Dynamics 365 AI modules

Dmitry Shargorodsky

If there is one hot topic being discussed in every boardroom meeting today, it’s AI. With Microsoft Dynamics 365 AI proving to be a game-changer, it’s essential for business professionals to master this tool. Microsoft Dynamics 365 AI for Business Insights will help you harness AI across key business functions to streamline processes and enhance customer experiences.Written by a seasoned professional with 15+ years of experience, this book guides you through Dynamics 365 AI’s practical applications across sales, customer service, marketing, and finance departments. You'll learn how to enhance customer experiences, streamline sales processes, optimize marketing strategies, and improve financial forecasting. This book also explores the integration of generative AI tools such as OpenAI Service, Azure Open AI, language models, and Microsoft Copilot within the Dynamics 365 ecosystem. With real-world examples, case studies, and expert insights, you’ll discover the transformative potential of this powerful toolkit. As well as driving sales insights and implementing fraud protection, you’ll explore emerging AI trends, Microsoft's roadmap for Dynamics 365 AI, and the upcoming features.By the end, you’ll be all set to unlock new growth opportunities using Dynamics 365 AI.

Machine Learning with PyTorch and Scikit-Learn. Develop machine learning and deep learning models with Python

Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili, Dmytro Dzhulgakov

Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems.Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself.Why PyTorch?PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric.You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP).This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.

Building Single-page Web Apps with Meteor. Build real-time single page apps at lightning speed using the most powerful full-stack JavaScript framework around

Fabian Vogelsteller

CUPS Administrative Guide. A practical tutorial to installing, managing, and securing this powerful printing system

Ankur Shah

Apache Spark for Machine Learning. Build and deploy high-performance big data AI solutions for large-scale clusters

Deepak Gowda

In the world of big data, efficiently processing and analyzing massive datasets for machine learning can be a daunting task. Written by Deepak Gowda, a data scientist with over a decade of experience and 30+ patents, this book provides a hands-on guide to mastering Spark’s capabilities for efficient data processing, model building, and optimization. With Deepak’s expertise across industries such as supply chain, cybersecurity, and data center infrastructure, he makes complex concepts easy to follow through detailed recipes.This book takes you through core machine learning concepts, highlighting the advantages of Spark for big data analytics. It covers practical data preprocessing techniques, including feature extraction and transformation, supervised learning methods with detailed chapters on regression and classification, and unsupervised learning through clustering and recommendation systems. You’ll also learn to identify frequent patterns in data and discover effective strategies to deploy and optimize your machine learning models. Each chapter features practical coding examples and real-world applications to equip you with the knowledge and skills needed to tackle complex machine learning tasks.By the end of this book, you’ll be ready to handle big data and create advanced machine learning models with Apache Spark.

Microservices with Go. The expert's guide to building secure, scalable, and reliable microservices with Go - Second Edition

Alexander Shuiskov

Microservices with Go, Second Edition explains the key benefits and common issues faced by developers when working with microservices, helping you understand the problems microservice architecture solves, the issues it introduces, and how to tackle them.The author distils his 18+ years of experience in building scalable and reliable infrastructure to help you grasp the importance of using the right principles and standards to achieve all that microservice architecture has to offer. You'll see why Go is a popular choice for microservice development, as well as navigate its foundational aspects, including service scaffolding, discovery, data serialization, communication, deployment, and testing. After covering development, you'll move to maintenance and reliability. This second edition is fully updated with newly added topics, including security and compliance, distributed system challenges, and performance monitoring. The final section focuses on advanced concepts, such as system reliability, observability, maintainability, and scalability. Through best practices and practical examples, you'll learn how to apply key ideas to existing applications using previously scaffolded services.By the end of this book, you'll have gained hands-on experience in developing scalable, reliable, and high-performance microservices with Go.

Building Industrial Digital Twins. Design, develop, and deploy digital twin solutions for real-world industries using Azure Digital Twins

Shyam Varan Nath, Pieter van Schalkwyk, Dan Isaacs

Digital twin technology enables organizations to create digital representations of physical entities such as assets, systems, and processes throughout their life cycle. It improves asset performance, utilization, and safe operations and reduces manufacturing, operational, and maintenance costs.The audiobook begins by introducing you to the concept of digital twins and sets you on a path to develop a digital twin strategy to positively influence business outcomes in your organization. You'll understand how digital twins relate to physical assets, processes, and technology and learn about the prerequisite conditions for the right platform, scale, and use case of your digital twins. You'll then get hands-on with Microsoft's Azure Digital Twins platform for your digital twin development and deployment. The audiobook equips you with the knowledge to evaluate enterprise and specialty platforms, including the cloud and industrial IoT required to set up your digital twin prototype. Once you've built your prototype, you'll be able to test and validate it relative to the intended purpose of the twin through pilot deployment, full deployment, and value tracking techniques.By the end of this audiobook, you'll have developed the skills to build and deploy your digital twin prototype, or minimum viable twin, to demonstrate, assess, and monitor your asset at specific stages in the asset life cycle.

Building AI Intensive Python Applications. Create intelligent apps with LLMs and vector databases

Rachelle Palmer, Ben Perlmutter, Ashwin Gangadhar, Nicholas Larew, ...

The era of generative AI is upon us, and this book serves as a roadmap to harness its full potential. With its help, you’ll learn the core components of the AI stack: large language models (LLMs), vector databases, and Python frameworks, and see how these technologies work together to create intelligent applications.The chapters will help you discover best practices for data preparation, model selection, and fine-tuning, and teach you advanced techniques such as retrieval-augmented generation (RAG) to overcome common challenges, such as hallucinations and data leakage. You’ll get a solid understanding of vector databases, implement effective vector search strategies, refine models for accuracy, and optimize performance to achieve impactful results. You’ll also identify and address AI failures to ensure your applications deliver reliable and valuable results. By evaluating and improving the output of LLMs, you’ll be able to enhance their performance and relevance.By the end of this book, you’ll be well-equipped to build sophisticated AI applications that deliver real-world value.

The Kubernetes Book. A Comprehensive Guide to Container Orchestration and Cloud-Native Deployment - Third Edition

Nigel Poulton, Pushkar Joglekar

Kubernetes is a powerful container orchestration platform that enables efficient application deployment, scaling, and management. This book begins with foundational concepts, explaining Kubernetes architecture, control planes, worker nodes, and the declarative model. Readers will learn how to set up a Kubernetes environment using tools like Docker Desktop and cloud-based solutions.The book then covers core operational topics, including Pods, Deployments, Namespaces, and Services, providing hands-on exercises to reinforce learning. Networking, storage, and security are explored in depth, with real-world examples of managing applications, configuring RBAC, and using ConfigMaps and Secrets. Advanced topics such as StatefulSets, the Kubernetes API, and service discovery offer insights into optimizing and securing Kubernetes workloads.Security is a key focus, with chapters dedicated to API security, threat modeling, and real-world Kubernetes security practices. Readers will gain practical knowledge on securing clusters, managing access controls, and mitigating common threats. By the end, they will be equipped with the skills to deploy, scale, and secure Kubernetes environments effectively.

AWS Cloud Projects. Strengthen your AWS skills through practical projects, from websites to advanced AI applications

Ivo Pinto, Pedro Santos

Tired of resumes getting lost in the pile? This book is your roadmap to building an in-demand AWS portfolio that grabs attention and gets you hired.This comprehensive guide unlocks AWS’s full potential through eight real-world projects designed for developers of all levels. Inside, you'll find invaluable guidance for crafting stunning websites with S3, CloudFront, and Route53. You’ll build robust and scalable applications, such as recipe-sharing platforms, using DynamoDB and Elastic Load Balancing. For streamlined efficiency, the book will teach you how to develop serverless architectures with AWS Lambda and Cognito. Gradually, you’ll infuse your projects with artificial intelligence by creating a photo analyzer powered by Amazon Rekognition. You’ll also automate complex workflows for seamless content translation using Translate, CodePipeline, and CodeBuild. Later, you’ll construct intelligent virtual assistants with Amazon Lex and Bedrock to answer web development queries. The book will also show you how to visualize your data with insightful dashboards built using Athena, Glue, and QuickSight.By the end of this book, you’ll have a portfolio of AWS projects to showcase your cloud skills, making you stand out in today’s competitive job market.

Python Made Easy. A First Course in Computer Programming Using Python

Kevin Wilson

Python Made Easy is designed to transform beginners into proficient Python programmers. The journey begins with an introduction to Python, covering basic concepts and syntax that lay the foundation for your coding skills. As you progress, you'll dive into essential programming constructs like data structures, functions, and file handling.In the second phase of the course, you'll explore more complex topics such as object-oriented programming, modules, and libraries. These sections will give you the tools to write efficient, reusable, and modular code. You'll also learn how to handle exceptions, ensuring your programs are robust and error-resistant. Special attention is given to graphical user interfaces (GUIs) and game development, making your Python skills applicable to a wide range of projects.The final part of the course covers advanced topics like debugging, testing, and deploying Python applications. You'll also delve into web development, where you'll learn to build and deploy web applications using Python. The course concludes with valuable video resources to reinforce your learning and provide additional insights. By the end of this course, you'll have a solid understanding of Python and be ready to tackle real-world programming challenges.