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Praktische Datenanalyse mit Python pandas
--client
pyconde
--show
pyconde2013
--room Raum_314_Haus_7 2748 --force
Next: 1 Iteratoren, Generatoren und Dekoratoren
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Marks
Author(s):
Thomas H. Marcon
Location
Raum 314 (Haus 7)
Date
oct Mon 14
Days Raw Files
Start
13:30
First Raw Start
error-in-template
Duration
00:210.0:00
Offset
None
End
17:00
Last Raw End
Chapters
Total cuts_time
None min.
https://2013.de.pycon.org/schedule/sessions/70/
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Description:
*** Agenda: *** Grundlagen 10 Min Datenstrukturen (Series, DataFrame) 15 Min Übung Datenstrukturen 30 Min Daten Laden, Speichern, Dateiformate (CSV, TXT) 15 Min Übung Laden, Speichern, Dateiformate 20 Min Daten Bereinigen, Transformieren, Umformen, Visualisieren 30 Min Übung Bereinigen, Transformieren, Umformen, Visualisieren 45 Min Ausblick: Zeitreihen, Datenagregation, komplexere Anwenungen, HDF5 15 Min *** Software-Pakete: *** Python, pandas (>0.8), Numpy, matplotlib, IPython
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