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OR_on1005511734 |
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OCoLC |
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20231017213018.0 |
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171006s2017 xx 034 o vlengxd |
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|a UMI
|b eng
|e rda
|e pn
|c UMI
|d OCLCF
|d UAB
|d OCLCQ
|d OCLCO
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035 |
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|a (OCoLC)1005511734
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037 |
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|a CL0500000900
|b Safari Books Online
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050 |
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4 |
|a QA76.76.D47
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049 |
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|a UAMI
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100 |
1 |
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|a Klassen, Mikhail,
|e speaker.
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245 |
1 |
0 |
|a Mining the social web, GitHub :
|b using Python and NetworkX to gain insight into GitHub's usage and community of users /
|c with Mikhail Klassen.
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246 |
3 |
0 |
|a Using Python and NetworkX to gain insight into GitHub's usage and community of users
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264 |
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1 |
|a [Place of publication not identified] :
|b O'Reilly,
|c [2017]
|
300 |
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|a 1 online resource (1 streaming video file (33 min., 10 sec.))
|
336 |
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|a two-dimensional moving image
|b tdi
|2 rdacontent
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337 |
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|a computer
|b c
|2 rdamedia
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337 |
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|a video
|b v
|2 rdamedia
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338 |
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|a online resource
|b cr
|2 rdacarrier
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511 |
0 |
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|a Presenter, Mikhail Klassen.
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500 |
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|a Title from title screen (viewed October 5, 2017).
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500 |
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|a Date of publication from resource description page.
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520 |
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|a "GitHub is one of the largest social coding platforms on the web. Its collaborative features allow GitHub users to follow each other's code developments, build off each other's work, and make it easier than ever to create open source software. Based on content from the book "Mining the Social Web" (O'Reilly Media) by Matthew Russell, this course shows you how to mine GitHub data for insight into the platform's projects and community of users. For example, you'll be able to trace open source project histories, the types of programming languages used in those projects, and the relative popularity of those languages. The course teaches you how to make API requests on GitHub's developer platform, use NetworkX to construct interest graphs from GitHub data, and create visualizations of graphs. To get the most out of the course, learners should have basic Python experience and a GitHub account."--Resource description page
|
590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
|
650 |
|
0 |
|a Computer software
|x Development.
|
650 |
|
0 |
|a Open source software.
|
650 |
|
0 |
|a Data mining.
|
650 |
|
0 |
|a Python (Computer program language)
|
650 |
|
0 |
|a Online social networks.
|
650 |
|
2 |
|a Data Mining
|
650 |
|
6 |
|a Logiciels libres.
|
650 |
|
6 |
|a Exploration de données (Informatique)
|
650 |
|
6 |
|a Python (Langage de programmation)
|
650 |
|
6 |
|a Réseaux sociaux (Internet)
|
650 |
|
7 |
|a Computer software
|x Development.
|2 fast
|0 (OCoLC)fst00872537
|
650 |
|
7 |
|a Data mining.
|2 fast
|0 (OCoLC)fst00887946
|
650 |
|
7 |
|a Online social networks.
|2 fast
|0 (OCoLC)fst01741311
|
650 |
|
7 |
|a Open source software.
|2 fast
|0 (OCoLC)fst01046097
|
650 |
|
7 |
|a Python (Computer program language)
|2 fast
|0 (OCoLC)fst01084736
|
856 |
4 |
0 |
|u https://learning.oreilly.com/videos/~/9781491989920/?ar
|z Texto completo (Requiere registro previo con correo institucional)
|
994 |
|
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|a 92
|b IZTAP
|