1. Basic stack
   1. numpy
   2. scipy
   3. pandas
      1. "Python for Data Analysis" by Wes McKinney
   4. scikits image
   5. scikits learn
   6. scikits statsmodels
   7. nltk
   8. matplotlib
2. Newer packages
   1. Numba
   2. wiseRF
   3. Blaze
3. Integrated platforms
   1. Continuum.io
      1. Anaconda
      2. Wakari
   2. PiCloud
      1. Python + AWS
   3. wise.io
      1. MLaaS
         1. RandomForest
   4. ipython
      1. Notebook
   5. Orange
4. Visualization
   1. matplotlib
   2. Bokeh
      1. ggplot for python
   3. Mayavi
   4. Nodebox
   5. igraph
   6. pandas
      1. pandas.tools.rplot
   7. Google APIs
      1. googleVis
5. Data formats
   1. Flat text
      1. xreadlines
      2. readLines
      3. pandas
         1. read_csv
         2. read_fwf
      4. xlrd/xlwt/xlutils
   2. HDF5
      1. PyTables
      2. h5py
   3. SQL
      1. SQLAlchemy
      2. pysqlite3
      3. pyodbc
         1. Vertica
         2. Netezza
         3. Teradata
   4. NoSQL
      1. MongoDB
         1. PyMongo
      2. CouchDB
         1. couchdb-python
         2. couchdbkit
   5. JSON
      1. Standard library
         1. json
      2. simplejson
   6. XML
      1. Standard library
         1. xml
   7. HBase
      1. HappyBase
6. MapReduce
   1. Hadoop interface
      1. Hadoop Streaming
         1. Hadoopy
         2. example
         3. dumbo
         4. mrjob
      2. Pydoop
         1. uses Hadoop Pipes
   2. disco
7. Glue
   1. rpy2
      1. R
   2. PySpark
      1. Spark
   3. ipython
      1. magic
         1. R
         2. SQL
         3. matlab/octave
         4. IDL
   4. Jython
      1. Java
   5. boto
      1. Amazon Web Services
8. GPU
   1. NumbaPro
   2. PyCUDA
9. Parallel
   1. ipython
      1. ipcluster
   2. pp
   3. dispy
10. Efficiency
    1. Cython
11. Packages
    1. PyPI
       1. 30686 packages