| Python for big data |
| 1 Basic stack |
| 1.1 numpy |
| 1.2 scipy |
| 1.3 pandas |
| 1.3.1 "Python for Data Analysis" by Wes McKinney |
| 1.4 scikits image |
| 1.5 scikits learn |
| 1.6 scikits statsmodels |
| 1.7 nltk |
| 1.8 matplotlib |
| 2 Newer packages |
| 2.1 Numba |
| 2.2 wiseRF |
| 2.3 Blaze |
| 3 Integrated platforms |
| 3.1 Continuum.io |
| 3.1.1 Anaconda |
| 3.1.2 Wakari |
| 3.2 PiCloud |
| 3.2.1 Python + AWS |
| 3.3 wise.io |
| 3.3.1 MLaaS |
| 3.3.1.1 RandomForest |
| 3.4 ipython |
| 3.4.1 Notebook |
| 3.5 Orange |
| 4 Visualization |
| 4.1 matplotlib |
| 4.2 Bokeh |
| 4.2.1 ggplot for python |
| 4.3 Mayavi |
| 4.4 Nodebox |
| 4.5 igraph |
| 4.6 pandas |
| 4.6.1 pandas.tools.rplot |
| 4.7 Google APIs |
| 4.7.1 googleVis |
| 5 Data formats |
| 5.1 Flat text |
| 5.1.1 xreadlines |
| 5.1.2 readLines |
| 5.1.3 pandas |
| 5.1.3.1 read_csv |
| 5.1.3.2 read_fwf |
| 5.1.4 xlrd/xlwt/xlutils |
| 5.2 HDF5 |
| 5.2.1 PyTables |
| 5.2.2 h5py |
| 5.3 SQL |
| 5.3.1 SQLAlchemy |
| 5.3.2 pysqlite3 |
| 5.3.3 pyodbc |
| 5.3.3.1 Vertica |
| 5.3.3.2 Netezza |
| 5.3.3.3 Teradata |
| 5.4 NoSQL |
| 5.4.1 MongoDB |
| 5.4.1.1 PyMongo |
| 5.4.2 CouchDB |
| 5.4.2.1 couchdb-python |
| 5.4.2.2 couchdbkit |
| 5.5 JSON |
| 5.5.1 Standard library |
| 5.5.1.1 json |
| 5.5.2 simplejson |
| 5.6 XML |
| 5.6.1 Standard library |
| 5.6.1.1 xml |
| 5.7 HBase |
| 5.7.1 HappyBase |
| 6 MapReduce |
| 6.1 Hadoop interface |
| 6.1.1 Hadoop Streaming |
| 6.1.1.1 Hadoopy |
| 6.1.1.2 example |
| 6.1.1.3 dumbo |
| 6.1.1.4 mrjob
Used and developed by Yelp |
| 6.1.2 Pydoop |
| 6.1.2.1 uses Hadoop Pipes |
| 6.2 disco
Used and developed by Nokia |
| 7 Glue |
| 7.1 rpy2 |
| 7.1.1 R |
| 7.2 PySpark |
| 7.2.1 Spark |
| 7.3 ipython |
| 7.3.1 magic |
| 7.3.1.1 R |
| 7.3.1.2 SQL |
| 7.3.1.3 matlab/octave |
| 7.3.1.4 IDL |
| 7.4 Jython |
| 7.4.1 Java |
| 7.5 boto |
| 7.5.1 Amazon Web Services |
| 8 GPU |
| 8.1 NumbaPro |
| 8.2 PyCUDA |
| 9 Parallel |
| 9.1 ipython |
| 9.1.1 ipcluster |
| 9.2 pp |
| 9.3 dispy |
| 10 Efficiency |
| 10.1 Cython |
| 11 Packages |
| 11.1 PyPI |
| 11.1.1 30686 packages |
VIA: Python for big data
转自：http://www.linuxeye.com/news/1756.html