Python for Secret Agents - Steven F. Lott - Knihy - Packt Publishing Limited - 9781783980420 - 22. augusta 2014
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Python for Secret Agents

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Očakávané doručenie 8. - 22. jún
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Analyze, encrypt, and uncover intelligence data using Python, the essential tool for all aspiring secret agents

About This Book

  • Build a toolbox of Python gadgets for password recovery, currency conversion, and civic data hacking
  • Use stenography to hide secret messages in images
  • Get to grips with geocoding to find villains' secret lairs

Who This Book Is For

If you are a Python beginner who is looking to learn the language through interesting projects, this book is for you. A basic knowledge of programming and statistics is beneficial to get the most out of the book.

In Detail

Python is an easy-to-learn and extensible programming language that allows secret agents to work with a wide variety of data in a number of ways. It gives beginners a simple way to start programming, but Python's standard library also provides numerous packages that allow Python-using secret agents to easily utilize very sophisticated information processing.

This book will guide new field agent trainees through putting together a Python-based toolset to gather, analyze, and communicate data. It starts by covering the basics and then moves on to sections such as file exchange, image processing, geocoding, simple trigonometry, and more sensitive statistical processing. You will then learn how to use polynomials to encode and decode data in different representations. Furthermore, this book shows you how to add tools to a Python environment, work with images, and parse HTML web pages to extract meaningful data. The idea of adding packages to Python is central to how an agent will leverage these tools for data processing.


216 pages

Médium Knihy     Paperback Book   (Kniha s mäkkou väzbou a lepeným chrbtom)
Vydané 22. augusta 2014
ISBN13 9781783980420
Vydavatelia Packt Publishing Limited
Strany 216
Rozmery 196 × 235 × 11 mm   ·   381 g
Jazyk Angličtina  

Viac od Steven F. Lott

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