Milovanovic (835 results)

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Paperback. Condition: Very Good. Serial Killers: Understanding Lust Murder, edited by Phillip C. Shon and Dragan Milovanovic, is a collection of ten chapters on the nature, expression, development, and possible responses to this recently popularized form of crime. These forms of serial killings not only involve continuous killings but some form of perverse sexual relations with the victim or body of the victim. Perhaps brought to public attention by some dramatic cases involving Jeffrey Dahmer, Robert Bundy, John Gacy, and Denis Rader and popular media presentations such as The Silence of the Lambs (1991), the examination of this phenomenon is only recently entering more scholarly scrutiny. This book includes various notable scholars in the field, from theoreticians to practitioners, and is divided into three parts. The first part develops theories of sexual homicide and the development of predatory laws. It examines the history of serial lust homicide, definitions, and motivational models. It also includes attempts at integrative approaches. The second part develops such forms of lust serial killing as piquerism, paraphilia, and necrophilia. The third part concerns the effects of the media, as well as phenomenological, existential, and edgework oriented approaches. Serial Killers not only brings the phenomenon under a keen theoretical and empirical investigation, shedding more scholarly insights on the phenomena, but it suggests methods for developing research hypotheses for academicians and for presenting practitioners with further insights into the field.…

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Paperback. Condition: Very Good. As a developer with knowledge of Python you are already in a great position to start using data visualization. This superb cookbook shows you how in plain language and practical recipes, culminating with 3D animations. Key Features Learn how to set up an optimal Python environment for data visualization Understand the topics such as importing data for visualization and formatting data for visualization Understand the underlying data and how to use the right visualizations Book DescriptionToday, data visualization is a hot topic as a direct result of the vast amount of data created every second. Transforming that data into information is a complex task for data visualization professionals, who, at the same time, try to understand the data and objectively transfer that understanding to others. This book is a set of practical recipes that strive to help the reader get a firm grasp of the area of data visualization using Python and its popular visualization and data libraries. Python Data Visualization Cookbook will progress the reader from the point of installing and setting up a Python environment for data manipulation and visualization all the way to 3D animations using Python libraries. Readers will benefit from over 60 precise and reproducible recipes that guide the reader towards a better understanding of data concepts and the building blocks for subsequent and sometimes more advanced concepts. Python Data Visualization Cookbook starts by showing you how to set up matplotlib and the related libraries that are required for most parts of the book, before moving on to discuss some of the lesser-used diagrams and charts such as Gantt Charts or Sankey diagrams. During the book, we go from simple plots and charts to more advanced ones, thoroughly explaining why we used them and how not to use them. As we go through the book, we will also discuss 3D diagrams. We will peep into animations just to show you what it takes to go into that area. Maps are irreplaceable for displaying geo-spatial data, so we also show you how to build them. In the last chapter, we show you how to incorporate matplotlib into different environments, such as a writing system, LaTeX, or how to create Gantt charts using Python. This book will help those who already know how to program in Python to explore a new field ?Äì one of data visualization. As this book is all about recipes that explain how to do something, code samples are abundant, and they are followed by visual diagrams and charts to help you understand the logic and compare your own results with what is explained in the book.What you will learn Install and use iPython Use Python s virtual environments Install and customize NumPy and matplotlib Draw common and advanced plots Visualize data using maps Create 3D animated data visualizations Import data from various formats Export data from various formats Who this book is forPython Data Visualization Cookbook is for developers that already know about Python programming in general. If you have heard about data visualization but you don't know where to start, then this book will guide you from the start and help you understand data, data formats, data visualization, and how to use Python to visualize data. You will need to know some general programming concepts, and any kind of programming experience will be helpful, but the code in this book is explained almost line by line. You don't need maths for this book, every concept that is introduced is thoroughly explained in plain English, and references are available for further interest in the topic.…

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