The Total Enemy explores the most radicalized forms of enmity, trying to unravel some of its historical and contemporary expressions. Starting from the premise that one of modernity's constitutive values is non-violence, the book explores how non-violence, or rather the making of a world free of violence, becomes a cause of violence, in some instances even extreme violence and totalitarian terror. The book consists of six case studies each exploring and discussing historically specific expressions of depicting an enemy as one the actors believe they can only deal with violently. It begins by looking at two important sites in the development of the total enemy, the French Revolution and the emergence of terrorist thinking in the middle of the nineteenth century. The book then turns to the twentieth century, beginning with the pre-WWII conceptualizations of the "total" in European political thought as an answer to a liberal state deemed unfit to manage and control mass society. Secondly, it considers the totalitarian enemy in Nazi Germany, especially Soviet Russia. Finally the book turns to two forms of contemporary total enmity: Islamism and in right-wing extremism. These concluding chapters look specifically at what happens to the total enemy concept once it goes from the state concept of the twentieth century to the private practice of the twenty-first.

This book provides a thorough overview of Bitcoin, cryptocurrencies, and digital assets and their impact on the future of money and finance. It provides a 360-degree practical, concise, and engaging overview of all the topics that one interested about digital assets needs to know including how Bitcoin and Ethereum work, an overview of the most important digital assets in the market, and deep dives into the various types of digital assets including cryptocurrencies, stable coins, CBDCs, utility tokens, security tokens, NFTs, and many others. The book also covers all the essentials including DeFi, crypto mining, crypto regulations, crypto investors, crypto exchanges, and other ecosystem players as well as some of the latest global crypto trends from Web 3.0 and the Metaverse to DAOs and quantum computing. Written by a leading industry expert and thought leader who advises some of the leading organisations in the digital assets space globally, this book is ideal for anyone looking to acquire a solid foundational knowledge base of this fast-growing field and understand its potential impact on the future of money.

R for Cloud Computing looks at some of the tasks performed by business analysts on the desktop (PC era) and helps the user navigate the wealth of information in R and its 4000 packages as well as transition the same analytics using the cloud. With this information the reader can select both cloud vendors and the sometimes confusing cloud ecosystem as well as the R packages that can help process the analytical tasks with minimum effort, cost and maximum usefulness and customization. The use of Graphical User Interfaces (GUI) and Step by Step screenshot tutorials is emphasized in this book to lessen the famous learning curve in learning R and some of the needless confusion created in cloud computing that hinders its widespread adoption. This will help you kick-start analytics on the cloud including chapters on both cloud computing, R, common tasks performed in analytics including the current focus and scrutiny of Big Data Analytics, setting up and navigating cloud providers. Readers are exposed to a breadth of cloud computing choices and analytics topics without being buried in needless depth. The included references and links allow the reader to pursue business analytics on the cloud easily. It is aimed at practical analytics and is easy to transition from existing analytical set up to the cloud on an open source system based primarily on R. This book is aimed at industry practitioners with basic programming skills and students who want to enter analytics as a profession. Note the scope of the book is neither statistical theory nor graduate level research for statistics, but rather it is for business analytics practitioners. It will also help researchers and academics but at a practical rather than conceptual level. The R statistical software is the fastest growing analytics platform in the world, and is established in both academia and corporations for robustness, reliability and accuracy. The cloud computing paradigm is firmly established as the next generation of computing from microprocessors to desktop PCs to cloud.

The aim of Moving Safely is to provide both theoretical and empirical perspectives on safety conditions at subway stations. This book adopts an approach that is place-centered, focusing on the importance of physical and social environments of these transit settings on crime and perceived safety using Stockholm transportation system as a case study . It offers suggestions on how to plan safety at subway stations with a variety of passenger preferences, needs and resources.