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NumPy
=====

Provides
  1. An array object of arbitrary homogeneous items
  2. Fast mathematical operations over arrays
  3. Linear Algebra, Fourier Transforms, Random Number Generation

How to use the documentation
----------------------------(more...)

src/s/c/scikits.statsmodels-0.3.1/scikits/statsmodels/sandbox/examples/thirdparty/try_interchange.py   scikits.statsmodels(Download)
"""
 
import numpy as np
import scikits.timeseries as ts
 

src/s/c/scikits.statsmodels-0.3.1/scikits/statsmodels/sandbox/examples/thirdparty/findow_1.py   scikits.statsmodels(Download)
"""
 
import numpy as np
import matplotlib.finance as fin
import matplotlib.pyplot as plt

src/s/c/scikits.statsmodels-0.3.1/scikits/statsmodels/sandbox/examples/thirdparty/findow_0.py   scikits.statsmodels(Download)
"""
 
import numpy as np
import matplotlib.finance as fin
import matplotlib.pyplot as plt

src/s/c/scikits.statsmodels-0.3.1/scikits/statsmodels/sandbox/examples/thirdparty/ex_ratereturn.py   scikits.statsmodels(Download)
"""
 
import numpy as np
import matplotlib.finance as fin
import matplotlib.pyplot as plt

src/s/p/spartan-HEAD/spartan/examples/cf/item_recommender.py   spartan(Download)
from spartan import array, blob_ctx, core, expr
import numpy as np
from spartan import util
import socket
from .helper import *
import numpy as np

src/h/a/HaeffnerLabLattice-HEAD/scripts/experiments/Camera/ion_fitting_sample.py   HaeffnerLabLattice(Download)
import numpy as np
from ion_state_detector import ion_state_detector
 
#load the full image and truncate it to to test image procesing of a partial image
# image = np.load('single.npy')

src/h/a/HaeffnerLabLattice-HEAD/scripts/dataAnalysis/BareLineScan/sample_binned_fluorescence_blue.py   HaeffnerLabLattice(Download)
from __future__ import division
import numpy as np
from matplotlib import pyplot
from scipy import linalg
from scipy import special as bessel

src/s/t/statsmodels-0.5.0/statsmodels/examples/ex_pandas.py   statsmodels(Download)
from datetime import datetime
 
import numpy as np
 
from pandas import DataFrame, Series, datetools
#Example TSA ARMA
 
import numpy as np
import statsmodels.api as sm
 

src/m/a/matplotlib-HEAD/doc/users/plotting/examples/demo_gridspec06.py   matplotlib(Download)
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import numpy as np
 
try:

src/n/i/nipy-0.3.0/nipy/labs/group/tests/test_spatial_relaxation_onesample.py   nipy(Download)
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
import numpy as np
 
from ..spatial_relaxation_onesample import multivariate_stat

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