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Programming in Lua, Second Edition

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Programming in Lua, Second Edition, 9788590379829 (8590379825), Lua.org, 2006

Lua is the language of choice for anyone who needs a scripting language that is simple, efficient, extensible, portable, and free. Currently, Lua is being used in areas ranging from embedded systems to Web development and is widely spread in the game industry, where knowledge of Lua is an indisputable asset. "Programming in Lua" is the official book about the language, giving a solid base for any programmer who wants to use Lua. Authored by Roberto Ierusalimschy, the chief architect of the language, it covers all aspects of Lua 5---from the basics to its API with C---explaining how to make good use of its features and giving numerous code examples. "Programming in Lua" is targeted at people with some programming background, but does not assume any prior knowledge about Lua or other scripting languages. This Second Edition updates the text to Lua 5.1 and brings substantial new material, including numerous new examples, a detailed explanation of the new module system, and two new chapters centered on multiple states and garbage collection.

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Ethical Hacking and Countermeasures: Linux, Macintosh and Mobile Systems (EC-Council Press)
Ethical Hacking and Countermeasures: Linux, Macintosh and Mobile Systems (EC-Council Press)

The EC-Council | Press Ethical Hacking and Countermeasures Series is comprised of five books covering a broad base of topics in offensive network security, ethical hacking, and network defense and countermeasures. The content of this series is designed to immerse the reader into an interactive environment where they will be shown how to scan,...

Learning Penetration Testing with Python
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About This Book

  • Understand how and where Python scripts meet the need for penetration testing
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Neural networks have been a mainstay of artificial intelligence since its earliest days. Now, exciting new technologies such as deep learning and convolution are taking neural networks in bold new directions. In this book, we will demonstrate the neural networks in a variety of real-world tasks such as image recognition and data science. We...

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Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis

 

Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely...

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Over 60 recipes to work with topology, overlays, indoor routing, and web application analysis with Python

About This Book

  • Explore the practical process of using geospatial analysis to solve simple to complex problems with reusable recipes
  • Concise step-by-step instructions to teach you...
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