Python 大数据思维导图
时间:2013-06-14 11:38来源:www.linuxeye.com 编辑:admin 点击:
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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 Bl
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Python for big data |
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1 Basic stack |
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1.1 numpy |
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1.2 scipy |
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1.3 pandas |
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1.3.1 "Python for Data Analysis" by Wes McKinney |
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1.4 scikits image |
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1.5 scikits learn |
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1.6 scikits statsmodels |
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1.7 nltk |
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1.8 matplotlib |
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2 Newer packages |
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2.1 Numba |
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2.2 wiseRF |
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2.3 Blaze |
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3 Integrated platforms |
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3.1 Continuum.io |
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3.1.1 Anaconda |
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3.1.2 Wakari |
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3.2 PiCloud |
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3.2.1 Python + AWS |
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3.3 wise.io |
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3.3.1 MLaaS |
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3.3.1.1 RandomForest |
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3.4 ipython |
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3.4.1 Notebook |
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3.5 Orange |
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4 Visualization |
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4.1 matplotlib |
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4.2 Bokeh |
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4.2.1 ggplot for python |
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4.3 Mayavi |
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4.4 Nodebox |
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4.5 igraph |
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4.6 pandas |
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4.6.1 pandas.tools.rplot |
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4.7 Google APIs |
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4.7.1 googleVis |
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5 Data formats |
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5.1 Flat text |
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5.1.1 xreadlines |
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5.1.2 readLines |
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5.1.3 pandas |
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5.1.3.1 read_csv |
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5.1.3.2 read_fwf |
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5.1.4 xlrd/xlwt/xlutils |
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5.2 HDF5 |
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5.2.1 PyTables |
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5.2.2 h5py |
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5.3 SQL |
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5.3.1 SQLAlchemy |
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5.3.2 pysqlite3 |
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5.3.3 pyodbc |
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5.3.3.1 Vertica |
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5.3.3.2 Netezza |
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5.3.3.3 Teradata |
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5.4 NoSQL |
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5.4.1 MongoDB |
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5.4.1.1 PyMongo |
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5.4.2 CouchDB |
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5.4.2.1 couchdb-python |
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5.4.2.2 couchdbkit |
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5.5 JSON |
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5.5.1 Standard library |
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5.5.1.1 json |
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5.5.2 simplejson |
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5.6 XML |
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5.6.1 Standard library |
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5.6.1.1 xml |
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5.7 HBase |
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5.7.1 HappyBase |
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6 MapReduce |
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6.1 Hadoop interface |
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6.1.1 Hadoop Streaming |
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6.1.1.1 Hadoopy |
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6.1.1.2 example |
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6.1.1.3 dumbo |
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6.1.1.4 mrjob
Used and developed by Yelp
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6.1.2 Pydoop |
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6.1.2.1 uses Hadoop Pipes |
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6.2 disco
Used and developed by Nokia
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7 Glue |
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7.1 rpy2 |
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7.1.1 R |
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7.2 PySpark |
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7.2.1 Spark |
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7.3 ipython |
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7.3.1 magic |
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7.3.1.1 R |
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7.3.1.2 SQL |
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7.3.1.3 matlab/octave |
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7.3.1.4 IDL |
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7.4 Jython |
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7.4.1 Java |
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7.5 boto |
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7.5.1 Amazon Web Services |
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8 GPU |
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8.1 NumbaPro |
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8.2 PyCUDA |
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9 Parallel |
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9.1 ipython |
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9.1.1 ipcluster |
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9.2 pp |
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9.3 dispy |
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10 Efficiency |
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10.1 Cython |
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11 Packages |
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11.1 PyPI |
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11.1.1 30686 packages |
VIA: Python for big data
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标签：
Python大数据
