Python for big data

Add by webbedfeet | May 27, 2013 17:42  75622 |  5789
Python for big data
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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

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