This guide is an introduction to developing microservices-based applications and managing them using containers. It discusses architectural design and implementation approaches using .NET Core and Docker containers. To make it easier to get started with containers and microservices, the guide focuses on a reference containerized and micro...
Break down the misconceptions of the Internet of Things by examining the different security building blocks available in Intel Architecture (IA) based IoT platforms. This open access book reviews the threat pyramid, secure boot, chain of trust, and the SW stack leading up to defense-in-depth.The IoT presents unique challenges in implement...
Can a system be considered truly reliable if it isn't fundamentally secure? Or can it be considered secure if it's unreliable? Security is crucial to the design and operation of scalable systems in production, as it plays an important part in product quality, performance, and availability. In this book, experts from Google share best prac...
This book describes how to apply the Acceptance Test Driven Development when developing a Web Application named bookish with React / Redux and other tools in react ecosystem. It also introduces best practices and design patterns in detail about how to write clean code.Using ATDD to build a React Application from scratch. During the develo...
This is a small project that aims to gather some knowledge about game development and make it available to everyone.As well as being a source of knowledge this project aims to be a learning experience for everyone involved too, by gathering contributions from the community, teaching others how to make a game, teaching algorithms but also ...
Ccurrently many of Julia's users are hard-core developers that contribute to the language's standard libraries, and to the extensive package eco-system that surrounds it. Therefore, much of the Julia material available at present is aimed at other developers rather than end users. This is where our book comes in, as it has been written wi...
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like...
Whether you're just curious, getting started with Kubernetes, or have experience with it, this curriculum will help you learn more about Kubernetes and running containerized applications. You'll learn about core Kubernetes concepts and use them to deploy and scale applications in practical tutorials. By the end of this curriculum you'll b...
This book highlights practical sysadmin skills, common architectures that you'll encounter, and best practices that apply to automating and running systems at any scale, from one laptop or server to 1,000 or more. It is intended to help orient you within the discipline, and hopefully encourages you to learn more about system administratio...
Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requirements, and offers great promise for better performance and faster application startup times - a huge leap forward in byte-addressable capac...
When processing text files, the awk language is ideal for handling data extraction, reporting, and data-reformatting jobs. This practical guide serves as both a reference and tutorial for POSIX-standard awk and for the GNU implementation, called gawk. This book is useful for novices and awk experts alike.In this thoroughly revised 5th edi...
This book presents computer programming as a key method for solving mathematical problems. This second edition of the well-received book has been extensively revised: All code is now written in Python version 3.6 (no longer version 2.7). In addition, the two first chapters of the previous edition have been extended and split up into five ...
This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter an...
This book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field ha...
PostgreSQL for Beginners book is intended for those who only start getting acquainted with the world of PostgreSQL. It contains some basic information about this DBMS and its main features, history of its creation and development roadmap, step-by-step installation instructions and a getting started guide....
Modeling and simulation are powerful tools for explaining the world, making predictions, designing things that work, and making them work better. Learning to use these tools can be difficult; this book is my attempt to make the experience as enjoyable and productive as possible.Modeling and simulation are powerful tools for explaining the...
Enterprises are increasingly adopting containers. The enterprise is realizing the benefits of cost savings, solution to deployment problems, and DevOps and production operations improvements that containers provide. Over the last years, Microsoft has been rapidly releasing container innovations to the Windows and Linux ecosystems – part...
Algorithms are the lifeblood of computer science. They are the machines that proofs build and the music that programs play. Their history is as old as mathematics itself. This book is a wide-ranging, idiosyncratic treatise on the design and analysis of algorithms, covering several fundamental techniques, with an emphasis on intuition and ...
This book is for people who build for the web and want to add animation to their designs and sites. A bit of basic CSS knowledge is needed but I won't assume any knowledge of transitions or animations. We'll start with the basics, and through a mix of theory and practical examples, learn all about transitions and animation....
A deep learning is of great interest these days, the crucial necessity for rapid and optimized implementation of the algorithms and designing architectures is the software environment. TensorFlow is designed to facilitate this goal. The strong advantage of TensorFlow is it flexibility is designing highly modular model which also can be a ...
