The Seductiveness of Jewish Myth PDF Download
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Author: S. Daniel Breslauer
Publisher: State University of New York Press
ISBN: 0791497445
Category : History
Languages : en
Pages : 328
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Book Description
The Seductiveness of Jewish Myth offers a panorama of diverse definitions of myth, understandings of Judaism, and competing evaluations of the "mythic" element in religion. The contributors focus on the problem of defining myth as a category in religious studies, examine modern religion and the role of myth in a "secularized" world, and look at specific cases of Jewish myth from biblical through modern times.
Author: S. Daniel Breslauer
Publisher: State University of New York Press
ISBN: 0791497445
Category : History
Languages : en
Pages : 328
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Book Description
The Seductiveness of Jewish Myth offers a panorama of diverse definitions of myth, understandings of Judaism, and competing evaluations of the "mythic" element in religion. The contributors focus on the problem of defining myth as a category in religious studies, examine modern religion and the role of myth in a "secularized" world, and look at specific cases of Jewish myth from biblical through modern times.
Author: Shalom Carmy
Publisher: Jason Aronson, Incorporated
ISBN: 1461629616
Category : Religion
Languages : en
Pages : 319
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Book Description
From the Preface: "The principal thrust of this book is to challenge the compartmentalization to which we seem all too easily resigned, to discover whether, and to what extent, the methods of modern scholarship can become part and parcel of the study of Torah, conceived as a religious-intellectual way of life. Not 'Modern Scholarship and the Study of Torah,' but 'Modern Scholarship in the Study of Torah."
Author: Srinath Srinivasa
Publisher: Springer Science & Business Media
ISBN: 3642355420
Category : Computers
Languages : en
Pages : 192
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Book Description
This book constitutes the refereed proceedings of the First International Conference on Big Data Analytics, BDA 2012, held in New Delhi, India, in December 2012. The 5 regular papers and 5 short papers presented were carefully reviewed and selected from 42 submissions. The volume also contains two tutorial papers in the section perspectives on big data analytics. The regular contributions are organized in topical sections on: data analytics applications; knowledge discovery through information extraction; and data models in analytics.
Author: Yehonathan Sharvit
Publisher: Simon and Schuster
ISBN: 1638356785
Category : Computers
Languages : en
Pages : 422
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Book Description
Eliminate the unavoidable complexity of object-oriented designs. The innovative data-oriented programming paradigm makes your systems less complex by making it simpler to access and manipulate data. In Data-Oriented Programming you will learn how to: Separate code from data Represent data with generic data structures Manipulate data with general-purpose functions Manage state without mutating data Control concurrency in highly scalable systems Write data-oriented unit tests Specify the shape of your data Benefit from polymorphism without objects Debug programs without a debugger Data-Oriented Programming is a one-of-a-kind guide that introduces the data-oriented paradigm. This groundbreaking approach represents data with generic immutable data structures. It simplifies state management, eases concurrency, and does away with the common problems you’ll find in object-oriented code. The book presents powerful new ideas through conversations, code snippets, and diagrams that help you quickly grok what’s great about DOP. Best of all, the paradigm is language-agnostic—you’ll learn to write DOP code that can be implemented in JavaScript, Ruby, Python, Clojure, and also in traditional OO languages like Java or C#. Forewords by Michael T. Nygard and Ryan Singer. About the technology Code that combines behavior and data, as is common in object-oriented designs, can introduce almost unmanageable complexity for state management. The Data-oriented programming (DOP) paradigm simplifies state management by holding application data in immutable generic data structures and then performing calculations using non-mutating general-purpose functions. Your applications are free of state-related bugs and your code is easier to understand and maintain. About the book Data-Oriented Programming teaches you to design software using the groundbreaking data-oriented paradigm. You’ll put DOP into action to design data models for business entities and implement a library management system that manages state without data mutation. The numerous diagrams, intuitive mind maps, and a unique conversational approach all help you get your head around these exciting new ideas. Every chapter has a lightbulb moment that will change the way you think about programming. What's inside Separate code from data Represent data with generic data structures Manage state without mutating data Control concurrency in highly scalable systems Write data-oriented unit tests Specify the shape of your data About the reader For programmers who have experience with a high-level programming language like JavaScript, Java, Python, C#, Clojure, or Ruby. About the author Yehonathan Sharvit has over twenty years of experience as a software engineer. He blogs, speaks at conferences, and leads Data-Oriented Programming workshops around the world. Table of Contents PART 1 FLEXIBILITY 1 Complexity of object-oriented programming 2 Separation between code and data 3 Basic data manipulation 4 State management 5 Basic concurrency control 6 Unit tests PART 2 SCALABILITY 7 Basic data validation 8 Advanced concurrency control 9 Persistent data structures 10 Database operations 11 Web services PART 3 MAINTAINABILITY 12 Advanced data validation 13 Polymorphism 14 Advanced data manipulation 15 Debugging
Author: Mohiuddin Ahmed
Publisher: CRC Press
ISBN: 0429820917
Category : Computers
Languages : en
Pages : 451
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Book Description
Large data sets arriving at every increasing speeds require a new set of efficient data analysis techniques. Data analytics are becoming an essential component for every organization and technologies such as health care, financial trading, Internet of Things, Smart Cities or Cyber Physical Systems. However, these diverse application domains give rise to new research challenges. In this context, the book provides a broad picture on the concepts, techniques, applications, and open research directions in this area. In addition, it serves as a single source of reference for acquiring the knowledge on emerging Big Data Analytics technologies.
Author: Danette McGilvray
Publisher: Elsevier
ISBN: 0080558399
Category : Computers
Languages : en
Pages : 353
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Book Description
Information is currency. Recent studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. In this important and timely new book, Danette McGilvray presents her “Ten Steps approach to information quality, a proven method for both understanding and creating information quality in the enterprise. Her trademarked approach—in which she has trained Fortune 500 clients and hundreds of workshop attendees—applies to all types of data and to all types of organizations. * Includes numerous templates, detailed examples, and practical advice for executing every step of the “Ten Steps approach.* Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices.* A companion Web site includes links to numerous data quality resources, including many of the planning and information-gathering templates featured in the text, quick summaries of key ideas from the Ten Step methodology, and other tools and information available online.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 1364
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Book Description
Author: Richard E. Plant
Publisher: CRC Press
ISBN: 1351189891
Category : Science
Languages : en
Pages : 759
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Book Description
Key features: Unique in its combination of serving as an introduction to spatial statistics and to modeling agricultural and ecological data using R Provides exercises in each chapter to facilitate the book's use as a course textbook or for self-study Adds new material on generalized additive models, point pattern analysis, and new methods of Bayesian analysis of spatial data. Includes a completely revised chapter on the analysis of spatiotemporal data featuring recently introduced software and methods Updates its coverage of R software including newly introduced packages Spatial Data Analysis in Ecology and Agriculture Using R, 2nd Edition provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology, agriculture, and environmental science. Readers have praised the book's practical coverage of spatial statistics, real-world examples, and user-friendly approach in presenting and explaining R code, aspects maintained in this update. Using data sets from cultivated and uncultivated ecosystems, the book guides the reader through the analysis of each data set, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. Additional material to accompany the book, on both analyzing satellite data and on multivariate analysis, can be accessed at https://www.plantsciences.ucdavis.edu/plant/additionaltopics.htm.
Author: John Wang
Publisher: IGI Global
ISBN: 1591400953
Category : Computers
Languages : en
Pages : 484
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Book Description
Data Mining: Opportunities and Challenges presents an overview of the state of the art approaches in this new and multidisciplinary field of data mining. The primary objective of this book is to explore the myriad issues regarding data mining, specifically focusing on those areas that explore new methodologies or examine case studies. This book contains numerous chapters written by an international team of forty-four experts representing leading scientists and talented young scholars from seven different countries.
Author: K. W. Potter
Publisher:
ISBN:
Category : Human engineering
Languages : en
Pages : 180
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Book Description
