Links
- Beispielprogramme auf GitHub
- Tabellen zur Demographie von www.gapminder.org
- Tutorial zum plotten mit
pandasauf pandas.pydata.org/pandas-docs/stable/visualization.html - Matplotlab Gallery matplotlib.org/gallery.html
Kurse
- Data Carpentry https://www.youtube.com/watch?v=Ws34Ho-1aDs
- https://s3.amazonaws.com/assets.datacamp.com/blog_assets/PythonForDataScience.pdf
- https://github.com/JulianGaal/python-cheat-sheet/blob/master/NumPy.md
- https://github.com/kjam/data-cleaning-101
- Dask: https://www.youtube.com/watch?v=gRRocTAtZm8
Übungen
https://github.com/Kyubyong/numpy_exercises
Cheat Sheets zu pandas und NumPy
- https://github.com/pandas-dev/pandas/blob/master/doc/cheatsheet/Pandas_Cheat_Sheet.pdf
- https://s3.amazonaws.com/assets.datacamp.com/blog_assets/PandasPythonForDataScience.pdf
- https://www.analyticsvidhya.com/blog/2015/07/11-steps-perform-data-analysis-pandas-python/
- http://www.webpages.uidaho.edu/~stevel/504/Pandas%20DataFrame%20Notes.pdf
- https://s3.amazonaws.com/quandl-static-content/Documents/Quandl+-+Pandas,+SciPy,+NumPy+Cheat+Sheet.pdf
- http://morphocode.com/pandas-cheat-sheet/
Cheat Sheets zu NumPy
- https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Numpy_Python_Cheat_Sheet.pdf
- https://ipgp.github.io/scientific_python_cheat_sheet/#numpy-import-numpy-as-np
- http://mathesaurus.sourceforge.net/matlab-numpy.html
Karten zeichnen
- matplotlib.org/basemap/
- github.com/karimbahgat/geovis
- www.arcgis.com/home/item.html?id=ae25571c60d94ce5b7fcbf74e27c00e0
- www.geophysique.be/2011/01/27/
- matplotlib-basemap-tutorial-07-shapefiles-unleached/
Bibliotheken zur Datenvalidierung mit pandas:
- voluptuous
- validr
- engarde
- tdda
- hypothesis
- marshmallow
- featureforge
- faker
- csvfaker
Bibliotheken für verteilte Daten:
- dask
- xdata
Bibliotheken zur Visualisierung
- PavaView
- Mayavi