Python for Secret Agents - Volume II (notice n° 69739)

détails MARC
000 -LEADER
fixed length control field 03681cam a2200277zu 4500
003 - CONTROL NUMBER IDENTIFIER
control field FRCYB88853418
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250107225518.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250107s2015 fr | o|||||0|0|||eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781785283406
035 ## - SYSTEM CONTROL NUMBER
System control number FRCYB88853418
040 ## - CATALOGING SOURCE
Original cataloging agency FR-PaCSA
Language of cataloging en
Transcribing agency
Description conventions rda
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Lott, Steven
245 01 - TITLE STATEMENT
Title Python for Secret Agents - Volume II
Statement of responsibility, etc. ['Lott, Steven']
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Name of producer, publisher, distributor, manufacturer Packt Publishing
Date of production, publication, distribution, manufacture, or copyright notice 2015
300 ## - PHYSICAL DESCRIPTION
Extent p.
336 ## - CONTENT TYPE
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type code c
Source rdamdedia
338 ## - CARRIER TYPE
Carrier type code c
Source rdacarrier
520 ## - SUMMARY, ETC.
Summary, etc. Gather, analyze, and decode data to reveal hidden facts using Python, the perfect tool for all aspiring secret agentsAbout This BookDiscover the essential features of Python programming: statements, variables, expressions, and many of the built-in data typesUse Python's standard library to do more sophisticated data gathering and analysisWritten by a Python programming expert, with over 35 years' experience as a consultant, teacher, author and software developerWho This Book Is ForThis book is for Secret Agents who have some exposure to Python. Our focus is on the Field Agents who are ready to do more sophisticated and complex programming in Python. We'll stick to simple statistics for the most part. A steady hand with a soldering iron is not required, but a skilled field agent should be able to assemble a working Arduino circuit to gather their own sensor data.What You Will LearnUpgrade Python to the latest version and discover its latest and greatest toolsUse Python libraries to extract data from log files that are designed more for people to read than for automated analysisSummarize log files and extract meaningful informationGather data from social networking sites and leverage your experience of analyzing log files to summarize the data you findExtract text and images from social networking sitesParse the complex and confusing data structures in a PDF file to extract meaningful text that we can analyzeConnect small, intelligent devices to our computer to use them as remote sensorsUse Python to analyze measurements from sensors to calibrate them and use sensors efficientlyIn DetailPython is easy to learn and extensible programming language that allows any manner of secret agent to work with a variety of data. Agents from beginners to seasoned veterans will benefit from Python's simplicity and sophistication. The standard library provides numerous packages that move beyond simple beginner missions. The Python ecosystem of related packages and libraries supports deep information processing.This book will guide you through the process of upgrading your Python-based toolset for intelligence gathering, analysis, and communication. You'll explore the ways Python is used to analyze web logs to discover the trails of activities that can be found in web and database servers. We'll also look at how we can use Python to discover details of the social network by looking at the data available from social networking websites.Finally, you'll see how to extract history from PDF files, which opens up new sources of data, and you'll learn about the ways you can gather data using an Arduino-based sensor device.Style and approachEach chapter will include a background briefing that covers an essential Python technology. After some in-depth exploration of the features, the chapter will conclude with a mission that is a concrete application of the Python tools and techniques covered.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Lott, Steven
856 40 - ELECTRONIC LOCATION AND ACCESS
Access method Cyberlibris
Uniform Resource Identifier <a href="https://international.scholarvox.com/netsen/book/88853418">https://international.scholarvox.com/netsen/book/88853418</a>
Electronic format type text/html
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