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Risks and Security of Internet and Systems
  • Language: en
  • Pages: 241

Risks and Security of Internet and Systems

  • Type: Book
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  • Published: 2017-03-01
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  • Publisher: Springer

This book constitutes the revised selected papers from the 11th International Conference on Risk and Security of Internet and Systems, CRISIS 2016, held in Roscoff, France, in September 2016. The 17 full papers presented in this volume were carefully reviewed and selected from 24 submissions. They cover diverse research themes, ranging from classic topics, such as intrusion detection, applied cryptography, formal methods and methodology for risk and security analysis, to emerging issues, such as ransomware and security of software defined networking or virtualization techniques.

D3.js in Action, Third Edition
  • Language: en
  • Pages: 654

D3.js in Action, Third Edition

Create stunning web-based data visualizations with D3.js. This totally-revised new edition of D3.js in Action guides you from simple charts to powerful interactive graphics. In D3.js in Action, Third Edition you will learn how to: Set up a local development environment for D3 Include D3 in web development projects, including Node-based web apps Select and append DOM elements Size and position elements on screen Assemble components and layouts into creative data visualizations D3.js in Action, Third Edition teaches you how to create an extensive portfolio of visualizations, interactive graphics, and data-driven applications using D3.js. This third edition is fully updated to the latest versio...

Spark in Action, Second Edition
  • Language: en
  • Pages: 574

Spark in Action, Second Edition

  • Type: Book
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  • Published: 2020-06-02
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  • Publisher: Manning

Summary The Spark distributed data processing platform provides an easy-to-implement tool for ingesting, streaming, and processing data from any source. In Spark in Action, Second Edition, you’ll learn to take advantage of Spark’s core features and incredible processing speed, with applications including real-time computation, delayed evaluation, and machine learning. Spark skills are a hot commodity in enterprises worldwide, and with Spark’s powerful and flexible Java APIs, you can reap all the benefits without first learning Scala or Hadoop. Foreword by Rob Thomas. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the t...

Canadian Books in Print. Author and Title Index
  • Language: en
  • Pages: 1610

Canadian Books in Print. Author and Title Index

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Nim in Action
  • Language: en
  • Pages: 505

Nim in Action

Summary Nim is a multi-paradigm language that offers powerful customization options with the ability to compile to everything from C to JavaScript. In Nim in Action you'll learn how Nim compares to other languages in style and performance, master its structure and syntax, and discover unique features. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Nim is a multi-paradigm programming language that offers powerful customization options with the ability to compile to everything from C to JavaScript. It can be used in any project and illustrates that you don't have to sacrifice performance for expressiveness! Abou...

D3.js in Action
  • Language: en
  • Pages: 580

D3.js in Action

Summary D3.js in Action, Second Edition is completely revised and updated for D3 v4 and ES6. It's a practical tutorial for creating interactive graphics and data-driven applications using D3. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Visualizing complex data is hard. Visualizing complex data on the web is darn near impossible without D3.js. D3 is a JavaScript library that provides a simple but powerful data visualization API over HTML, CSS, and SVG. Start with a structure, dataset, or algorithm; mix in D3; and you can programmatically generate static, animated, or interactive images that scale to any scre...

Data Analysis with Python and PySpark
  • Language: en
  • Pages: 454

Data Analysis with Python and PySpark

Think big about your data! PySpark brings the powerful Spark big data processing engine to the Python ecosystem, letting you seamlessly scale up your data tasks and create lightning-fast pipelines.In Data Analysis with Python and PySpark you will learn how to:Manage your data as it scales across multiple machines, Scale up your data programs with full confidence, Read and write data to and from a variety of sources and formats, Deal with messy data with PySpark's data manipulation functionality, Discover new data sets and perform exploratory data analysis, Build automated data pipelines that transform, summarize, and get insights from data, Troubleshoot common PySpark errors, Creating reliab...

Clojure in Action
  • Language: en
  • Pages: 492

Clojure in Action

Summary A fully revised edition that covers the new features available in Clojure 1.6. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Clojure is a modern Lisp for the JVM. It has the strengths you expect: first-class functions, macros, and Lisp's clean programming style. It supports functional programming, making it ideal for concurrent programming and for creating domain-specific languages. Clojure lets you solve harder problems, make faster changes, and end up with a smaller code base. It's no wonder that there are so many Clojure success stories. About the Book Clojure in Action, Second Edition is an expand...

Canadian Books in Print
  • Language: en
  • Pages: 1602

Canadian Books in Print

  • Type: Book
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  • Published: 2003
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  • Publisher: Unknown

None

Data Analysis with Python and PySpark
  • Language: en
  • Pages: 716

Data Analysis with Python and PySpark

Think big about your data! PySpark brings the powerful Spark big data processing engine to the Python ecosystem, letting you seamlessly scale up your data tasks and create lightning-fast pipelines. In Data Analysis with Python and PySpark you will learn how to: Manage your data as it scales across multiple machines Scale up your data programs with full confidence Read and write data to and from a variety of sources and formats Deal with messy data with PySpark’s data manipulation functionality Discover new data sets and perform exploratory data analysis Build automated data pipelines that transform, summarize, and get insights from data Troubleshoot common PySpark errors Creating reliable ...