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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/n/i/nipy-0.3.0/nipy/externals/transforms3d/tests/samples.py   nipy(Download)
import numpy as np
 
from ..utils import inique, permuted_signs, permuted_with_signs
 
from ..taitbryan import euler2mat

src/n/i/nipy-0.3.0/nipy/algorithms/statistics/tests/test_onesample.py   nipy(Download)
 
import numpy as np
from nipy.algorithms.statistics import onesample
from scipy.stats import norm
 

src/n/i/nipy-0.3.0/nipy/algorithms/registration/tests/test_resample.py   nipy(Download)
""" Testing resample function
"""
 
import numpy as np
 

src/s/c/scipy-0.13.3/doc/source/tutorial/examples/normdiscr_plot2.py   scipy(Download)
import numpy as np
import matplotlib.pyplot as plt
from scipy import stats
 
npoints = 20 # number of integer support points of the distribution minus 1

src/s/c/scipy-0.13.3/doc/source/tutorial/examples/normdiscr_plot1.py   scipy(Download)
import numpy as np
import matplotlib.pyplot as plt
from scipy import stats
 
npoints = 20 # number of integer support points of the distribution minus 1

src/s/c/scipy-0.13.3/doc/source/tutorial/examples/newton_krylov_preconditioning.py   scipy(Download)
import numpy as np
from scipy.optimize import root
from scipy.sparse import spdiags, kron
from scipy.sparse.linalg import spilu, LinearOperator
from numpy import cosh, zeros_like, mgrid, zeros, eye

src/s/t/statsmodels-HEAD/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/s/t/statsmodels-HEAD/examples/python/generic_mle.py   statsmodels(Download)
# ## Example 1: Probit model
from __future__ import print_function
import numpy as np
from scipy import stats
import statsmodels.api as sm
# 
 
import numpy as np
from scipy.stats import nbinom
 

src/s/c/scikit-image-0.9.3/doc/examples/applications/plot_rank_filters.py   scikit-image(Download)
"""
 
import numpy as np
import matplotlib.pyplot as plt
 
from skimage.filter.rank import entropy
from skimage.morphology import disk
import numpy as np
import matplotlib.pyplot as plt
 

src/n/u/nupic-HEAD/examples/prediction/data/extra/secondOrder/makeDataset.py   nupic(Download)
"""
 
import numpy
 
from nupic.data.file_record_stream import FileRecordStream

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