Legend of the Elements (Softcover)


Book Description

A tabletop roleplaying game about kung-fu elemental-magic wuxia action.




Interpreting Legend Pbdirect


Book Description

This book, first published in 1994, sets ‘repertoire against raconteur’ in order to explore one of the world’s largest collections of folk literature. The author’s findings, and his creative and synthetic methodologies, enhance greatly our understanding of the world of the legend, and especially the basic question of ‘Who tells what to whom in the form of a legend and why?’ This work is an in-depth exploration of rural Denmark, and provides us with an excellent vantage point from which to understand legends in their cultural contexts and within the lives of their tellers.




A Survivor's Guide to R


Book Description

Focusing on developing practical R skills rather than teaching pure statistics, Dr. Kurt Taylor Gaubatz’s A Survivor’s Guide to R provides a gentle yet thorough introduction to R. The book is structured around critical R tasks, and focuses on applied knowledge, rather than abstract concepts. Gaubatz’s easy-to-read approach helps students with little or no background in statistics or programming to develop real-world R skills through straightforward coverage of R objects and functions. Focusing on real-world data, the challenges of dataset construction, and the use of R’s powerful graphing tools, the guide is written in an accessible, sympathetic, even humorous style that ensures students acquire functional R skills they can use in their own projects and carry into their work beyond the classroom.




Python Data Science Handbook


Book Description

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms




CSS Instant Results


Book Description

CSS Instant Results helps you quickly master and implement the diverse web applications CSS enables for web designers. The book is centered around ten ready-to-use projects with all the code for all the projects included on the books CD-ROM - that you can use immediately. CSS Instant Results dives into working code so you can learn it rapidly. The book and code projects are written for web developers and designers who are looking to learn how to use CSS for better, faster design and markup. Some previous JavaScript use is helpful. Each of the 10 project features step-by-step set-up instructions with a description of each project that enables you to understand and then modify it so you can reuse it in different situations. The code has been tested with several browsers including Mozilla Firefox 1.0, Opera 8, Microsoft Internet Explorer 6 for Windows, and Safari 1.3 for Mac OS X. The 10 projects covered in the book with complete source-code on the CD are: Tab-based navigation Multi-column layouts Dynamic dropdown menus A different approach to the dropdown menu Web-based slideshow Custom borders and rounded corners Applying CSS to a webmail application Styling input forms User interface for a web-based file viewer Styling a web-based calendar




Pattern Recognition. ICPR International Workshops and Challenges


Book Description

This 8-volumes set constitutes the refereed of the 25th International Conference on Pattern Recognition Workshops, ICPR 2020, held virtually in Milan, Italy and rescheduled to January 10 - 11, 2021 due to Covid-19 pandemic. The 416 full papers presented in these 8 volumes were carefully reviewed and selected from about 700 submissions. The 46 workshops cover a wide range of areas including machine learning, pattern analysis, healthcare, human behavior, environment, surveillance, forensics and biometrics, robotics and egovision, cultural heritage and document analysis, retrieval, and women at ICPR2020.




Beginning HTML with CSS and XHTML


Book Description

Why another HTML book? Web development has changed with the advent of web standards, rendering older books obsolete. The code and techniques in this book are strictly standards compliant, so readers’ web pages will work properly in most web browsers, be lean and small in file size, accessible to web users with disabilities, and easily located by search engines such as Google. The book uses practical examples to show how to structure data correctly using (X)HTML, the basics of styling it and laying it out using Cascading Style Sheets (CSS,) and adding dynamic behavior to it using JavaScript – all as quickly as possible.




Data Visualization in R and Python


Book Description

Communicate the data that is powering our changing world with this essential text The advent of machine learning and neural networks in recent years, along with other technologies under the broader umbrella of ‘artificial intelligence,’ has produced an explosion in Data Science research and applications. Data Visualization, which combines the technical knowledge of how to work with data and the visual and communication skills required to present it, is an integral part of this subject. The expansion of Data Science is already leading to greater demand for new approaches to Data Visualization, a process that promises only to grow. Data Visualization in R and Python offers a thorough overview of the key dimensions of this subject. Beginning with the fundamentals of data visualization with Python and R, two key environments for data science, the book proceeds to lay out a range of tools for data visualization and their applications in web dashboards, data science environments, graphics, maps, and more. With an eye towards remarkable recent progress in open-source systems and tools, this book offers a cutting-edge introduction to this rapidly growing area of research and technological development. Data Visualization in R and Python readers will also find: Coverage suitable for anyone with a foundational knowledge of R and Python Detailed treatment of tools including the Ggplot2, Seaborn, and Altair libraries, Plotly/Dash, Shiny, and others Case studies accompanying each chapter, with full explanations for data operations and logic for each, based on Open Data from many different sources and of different formats Data Visualization in R and Python is ideal for any student or professional looking to understand the working principles of this key field.




ArcGIS Pro and ArcGIS Online


Book Description

This textbook serves as a practical guide for undergraduate and graduate students in geology, hydrology, ecology, and environmental sciences, teaching them applied GIS techniques. Presented as a step-by-step tutorial across seventeen chapters, the book starts with the fundamentals of GIS and progresses to real-life examples from geology and water resources. The focus is on ESRI's ArcGIS Pro, covering various tools for spatial, geostatistical, network, and 3-D analysis. Additionally, it explores ArcGIS Online and working with web apps like Web Map, StoryMaps, and GEO App. GIS applications, especially in water and environmental problem-solving, are rapidly growing worldwide. The demand for GIS experts utilizing spatial analysis in environmental science remains high. This textbook equips users with the necessary knowledge to become effective mappers and spatial analysts in the fields of environment, geosciences, and water resources, employing the latest state-of-the-art methodology. Each chapter provides exercises and supplementary materials available for download on SpringerLink, along with additional links for further learning opportunities.




Mastering Autodesk Revit Architecture 2016


Book Description

The Autodesk-endorsed guide to real-world Revit Architecture mastery Mastering Autodesk Revit Architecture 2016 provides focused discussions, detailed exercises, and compelling, real-world examples to help you get the most out of the Revit Architecture 2016 software. Information is organized to reflect the way you learn and implement Revit, featuring real-world workflows, in-depth explanations, and practical tutorials that help you understand Revit and BIM concepts so you can quickly start accomplishing vital tasks. The thorough coverage makes this book an ideal study guide for those preparing for Autodesk's certification exam. The companion website features before-and-after tutorials, additional advanced content, and video on crucial techniques to help you quickly master important tasks. This comprehensive guide walks you through the software to help you begin designing quickly. Understand basic BIM concepts and the Revit interface Explore templates, work-sharing, and project management workflows Learn modeling, massing, and visualization techniques for other industries Work with complex structures, annotation, detailing, and much more To master what is quickly becoming an essential industry tool, Mastering Revit Architecture 2016 is your ultimate practical companion.