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151223s2015 enka o 001 0 eng d |
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|a UMI
|b eng
|e rda
|e pn
|c UMI
|d OCLCF
|d NLE
|d DEBBG
|d DEBSZ
|d CEF
|d UAB
|d RDF
|d OCLCO
|d OCLCQ
|d OCLCO
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|z 9781785283406
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|a 9781785285431
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|a 1785285432
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|a 1785283405
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|a 9781785283406
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|a DEBBG
|b BV043968535
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|a DEBSZ
|b 485790378
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|a GBVCP
|b 88284816X
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|a (OCoLC)933389468
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|a CL0500000693
|b Safari Books Online
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|a QA76.73.P98
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0 |
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|a 005.133
|2 23
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| 049 |
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|a UAMI
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| 100 |
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|a Lott, Steven F.,
|e author.
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| 245 |
1 |
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|a Python for secret agents :
|b gather, analyze, and decode data to reveal hidden facts using Python, the perfect tool for all aspiring secret agents /
|c Steven F. Lott.
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| 250 |
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|a Second edition.
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| 264 |
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|a Birmingham, UK :
|b Packt Publishing,
|c 2015.
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| 300 |
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|a 1 online resource (1 volume) :
|b illustrations.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Community experience distilled
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| 588 |
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|a Description based on online resource; title from cover page (Safari, viewed December 22, 2015).
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| 500 |
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|a Includes index.
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|a Cover ; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: New Missions -- New Tools ; Background briefing on tools; Doing a Python upgrade; Preliminary mission to upgrade pip; Background briefing: review of the Python language; Using variables to save results; Using the sequence collections: strings; Using other common sequences: tuples and lists; Using the dictionary mapping; Comparing data and using the logic operators; Using some simple statements; Using compound statements for conditions: if
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|a Using compound statements for repetition: for and whileDefining functions; Creating script files; Mission One -- upgrade Beautiful Soup; Getting an HTML page; Navigating the HTML structure; Doing other upgrades; Mission to expand our toolkit; Scraping data from PDF files; Sidebar on the ply package; Building our own gadgets; Getting the Arduino IDE; Getting a Python serial interface; Summary; Chapter 2: Tracks, Trails, and Logs ; Background briefing -- web servers and logs; Understanding the variety of formats; Getting a web server log; Writing a regular expression for parsing
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|a Introducing some regular expression rules and patternsFinding a pattern in a file; Using regular expression suffix operators; Capturing characters by name; Looking at the CLF; Reading and understanding the raw data; Reading a gzip compressed file; Reading remote files; Studying a log in more detail; What are they downloading?; Trails of activity; Who is this person?; Using Python to run other programs; Processing whois queries; Breaking a request into stanzas and lines; Alternate stanza-finding algorithm; Making bulk requests; Getting logs from a server with ftplib
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|a Building a more complete solutionSummary; Chapter 3: Following the Social Network ; Background briefing -- images and social media; Accessing web services with urllib or http.client; Who's doing the talking?; Starting with someone we know; Finding our followers; What do they seem to be talking about?; What are they posting?; Deep Under Cover -- NLTK and language analysis; Summary; Chapter 4: Dredging up History ; Background briefing-Portable Document Format; Extracting PDF content; Using generator expressions; Writing generator functions; Filtering bad data; Writing a context manager
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|a Writing a PDF parser resource managerExtending the resource manager; Getting text data from a document; Displaying blocks of text; Understanding tables and complex layouts; Writing a content filter; Filtering the page iterator; Exposing the grid; Making some text block recognition tweaks; Emitting CSV output; Summary; Chapter 5: Data Collection Gadgets ; Background briefing: Arduino basics; Organizing a shopping list; Getting it right the first time; Starting with the digital output pins; Designing an external LED; Assembling a working prototype; Mastering the Arduino programming language
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| 590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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| 650 |
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|a Python (Computer program language)
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| 650 |
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|a Data mining.
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| 650 |
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2 |
|a Data Mining
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| 650 |
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6 |
|a Python (Langage de programmation)
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| 650 |
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6 |
|a Exploration de données (Informatique)
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| 650 |
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7 |
|a Data mining
|2 fast
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| 650 |
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7 |
|a Python (Computer program language)
|2 fast
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| 830 |
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|a Community experience distilled.
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| 856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781785283406/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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| 994 |
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|a 92
|b IZTAP
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