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Python for Secret Agents

You're reading from   Python for Secret Agents Analyze, encrypt, and uncover intelligence data using Python, the essential tool for all aspiring secret agents

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Product type Book
Published in Aug 2014
Publisher
ISBN-13 9781783980420
Pages 216 pages
Edition 1st Edition
Languages
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Toc

Chapter 5. A Spymaster's More Sensitive Analyses

Most of our previous espionage missions focused on bulk data collection and processing. HQ doesn't always want details. Sometimes it needs summaries and assessments. This means calculating central tendencies, summaries, trends, and correlations, which means we need to write more sophisticated algorithms.

We will skirt the borders of some very heavy-duty statistical algorithms. Once we cross the frontier, we will need more powerful tools. For additional tools to support sophisticated numeric processing, check http://www.numpy.org. For some analyses, we may be more successful using the SciPy package (http://www.scipy.org). A good book to refer is Learning SciPy for Numerical and Scientific Computing, Francisco J. Blanco-Silva, Packt Publishing (http://www.packtpub.com/learning-scipy-for-numerical-and-scientific-computing/book).

Another direction we could be pulled in includes the analysis of natural language documents. Reports, speeches, books...

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