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Interaktive Datenanalyse und Visualisierung mit Python, pandas & Co.
--client
pyconde
--show
pyconde2013
--room KOMED_Saal 2741 --force
Next: 11 Data Mining mit Orange
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Marks
Author(s):
Dr. Yves Hilpisch
Location
KOMED Saal
Date
oct Wed 16
Days Raw Files
Start
11:00
First Raw Start
10:45
Duration
00:60.0:00
Offset
0:14:11
End
12:00
Last Raw End
12:17
Chapters
00:00
0:47:19
0:47:30
Total cuts_time
53 min.
https://2013.de.pycon.org/schedule/sessions/31/
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Python hat sich als ernste Alternative für die effiziente und hochperformante Analyse auch von großen Datenmengen etabliert. Der Vortrag stellt die wesentlichen Python-basierten Tools für die interaktive Datenanalyse und Visualisierung vor und veranschaulicht diese an Hand von praxisnahen Beispielen. Der Vortag nutzt IPython Notebooks um die Interaktivität in Echzeit zu veranschaulichen.
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2013-10-16/11_23_19.dv
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