Learning Bayesian Models with R. Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems

Hari Manassery Koduvely

Software Architecture Patterns for Serverless Systems. Architecting for innovation with event-driven microservices and micro frontends - Second Edition

John Gilbert, Memi Lavi

Organizations undergoing digital transformation rely on IT professionals to design systems to keep up with the rate of change while maintaining stability. With this edition, enriched with more real-world examples, you’ll be perfectly equipped to architect the future for unparalleled innovation.This book guides through the architectural patterns that power enterprise-grade software systems while exploring key architectural elements (such as events-driven microservices, and micro frontends) and learning how to implement anti-fragile systems.First, you'll divide up a system and define boundaries so that your teams can work autonomously and accelerate innovation. You'll cover the low-level event and data patterns that support the entire architecture while getting up and running with the different autonomous service design patterns.This edition is tailored with several new topics on security, observability, and multi-regional deployment. It focuses on best practices for security, reliability, testability, observability, and performance. You'll be exploring the methodologies of continuous experimentation, deployment, and delivery before delving into some final thoughts on how to start making progress.By the end of this book, you'll be able to architect your own event-driven, serverless systems that are ready to adapt and change.

VMware vRealize Orchestrator Essentials. Get hands-on experience with vRealize Orchestrator and automate your VMware environment

Daniel Langenhan

Metaprogramming in C#. Automate your .NET development and simplify overcomplicated code

Einar Ingebrigtsen

Metaprogramming is an advanced technique that helps developers to automate repetitive tasks, generate scalable code, and enhance productivity in software development. Metaprogramming in C# is a comprehensive guide that will help you reap the full potential of metaprogramming in .NET runtime.You’ll start by learning about the .NET runtime environment and how you can use it to become a more productive developer. You'll learn how to infer types using reflection, use attributes, and create dynamic proxies. You’ll also explore the use of expressions to create and execute code and how to take advantage of Dynamic Language Runtime.But that's not all! You’ll also learn to go beyond inheritance and use method signature conventions to create easily maintainable code. Finally, you’ll dive into the world of compiler magic with Roslyn, where you'll discover how to use Roslyn to generate code, perform static code analysis, and write your own compiler extensions.By the end of this book, you’ll have a deep understanding of metaprogramming concepts and how to apply them to your C# code. You’ll be able to think about types, use attributes and expressions to generate code, and apply crosscutting concerns to improve code quality.

SvelteKit Up and Running. Leverage the power of a next-generation web framework to build high-performance web apps with ease

Dylan Hildenbrand

The JavaScript ecosystem has grown vast, complex, and daunting for newcomers. Fortunately, SvelteKit has emerged, simplifying the process of building JavaScript-based web applications. This book aims to demystify SvelteKit, making it as approachable as it makes web app development.With SvelteKit Up and Running you’ll be introduced to the philosophy and technologies underlying SvelteKit. First, you’ll follow a standard educational programming approach, progressing to a 'Hello World' application. Next, you’ll explore the fundamental routing techniques, data loading management, and user submission, all through real-world scenarios commonly encountered in day-to-day development, before discovering various adapters employed by SvelteKit to seamlessly integrate with diverse environments. You’ll also delve into advanced concepts like dynamic route management, error handling, and leveraging SvelteKit to optimize SEO and accessibility.By the end of this book, you’ll have mastered SvelteKit and will be well-equipped to navigate the complexities of web app development.

Modern Graph Theory Algorithms with Python. Harness the power of graph algorithms and real-world network applications using Python

Colleen M. Farrelly, Franck Kalala Mutombo, Michael Giske

We are living in the age of big data, and scalable solutions are a necessity. Network science leverages the power of graph theory and flexible data structures to analyze big data at scale.This book guides you through the basics of network science, showing you how to wrangle different types of data (such as spatial and time series data) into network structures. You’ll be introduced to core tools from network science to analyze real-world case studies in Python. As you progress, you’ll find out how to predict fake news spread, track pricing patterns in local markets, forecast stock market crashes, and stop an epidemic spread. Later, you’ll learn about advanced techniques in network science, such as creating and querying graph databases, classifying datasets with graph neural networks (GNNs), and mining educational pathways for insights into student success. Case studies in the book will provide you with end-to-end examples of implementing what you learn in each chapter.By the end of this book, you’ll be well-equipped to wrangle your own datasets into network science problems and scale solutions with Python.

Technical Program Manager's Handbook. Unlock your TPM potential by leading technical projects successfully and elevating your career path - Second Edition

Joshua Alan Teter

The role of the Technical Program Manager (TPM) is crucial in the tech industry, bridging the gap between technical expertise and business acumen. The second edition of the Technical Program Manager’s Handbook offers a comprehensive guide to excelling in this role. Building on the foundational concepts from the first edition, this updated version introduces new chapters that explore the integration of AI and Emotional Intelligence (EI) in program management. These crucial additions complement the broader focus of the book on bridging business and technology but don’t overshadow it. You'll learn how to apply AI-driven tools to enhance project planning, risk management, and stakeholder communication, as well as how to leverage EI to build strong team relationships and improve leadership effectiveness.This book provides practical tools, methodologies, and case studies, offering insights from industry leaders to help both aspiring and practicing TPMs apply advanced concepts and strategies effectively. It also explores the unique aspects of the TPM role in major tech companies, helping you to navigate and thrive in your career.By the end of this book, you'll have a clear understanding of the TPM role, along with a breakdown of the necessary technical and program management skills, to develop a clear roadmap for your career.

NumPy Essentials. Click here to enter text

Jaidev Deshpande, Leo (Liang-Huan) Chin, Tanmay Dutta, Shane Holloway

In today’s world of science and technology, it’s all about speed and flexibility. When it comes to scientific computing, NumPy tops the list. NumPy gives you both the speed and high productivity you need.This book will walk you through NumPy using clear, step-by-step examples and just the right amount of theory. We will guide you through wider applications of NumPy in scientific computing and will then focus on the fundamentals of NumPy, including array objects, functions, and matrices, each of them explained with practical examples. You will then learn about different NumPy modules while performing mathematical operations such as calculating the Fourier Transform; solving linear systems of equations, interpolation, extrapolation, regression, and curve fitting; and evaluating integrals and derivatives. We will also introduce you to using Cython with NumPy arrays and writing extension modules for NumPy code using the C API. This book will give you exposure to the vast NumPy library and help you build efficient, high-speed programs using a wide range of mathematical features.