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All Samples(191)  |  Call(0)  |  Derive(0)  |  Import(191)
SymPy is a Python library for symbolic mathematics. It aims to become a
full-featured computer algebra system (CAS) while keeping the code as simple as
possible in order to be comprehensible and easily extensible. SymPy is written
entirely in Python and does not require any external libraries, except
optionally for plotting support.

See the webpage for more information and documentation:

    http://code.google.com/p/sympy/

src/p/y/pycircuit-HEAD/pycircuit/circuit/hdl.py   pycircuit(Download)
import circuit
import pycircuit.utilities.param as param
 
import sympy
import sympy.printing.lambdarepr
import numpy as np
 

src/p/y/pycircuit-HEAD/pycircuit/circuit/func.py   pycircuit(Download)
import numeric
import sympy
from scipy import interpolate
 
class TimeFunction(object):
    """Time dependent function"""
 

src/p/y/pycircuit-HEAD/pycircuit/circuit/ddd.py   pycircuit(Download)
import os
from StringIO import StringIO
from copy import copy
import sympy
 
class DDD(object):
    pass

src/p/y/pycircuit-HEAD/doc/sphinxext/sympy_directive.py   pycircuit(Download)
"""
 
import re
import sympy
from docutils.parsers.rst import directives
 
def setup(app):

src/c/o/connectomeviewer-HEAD/external/dipy/doc_sphinx/theory/derivations/spm_dicom_orient.py   connectomeviewer(Download)
 
import numpy as np
 
import sympy
from sympy import Matrix, Symbol, symbols, zeros, ones, eye
 
# The code below is general (independent of SPMs code)

src/c/o/connectomeviewer-HEAD/external/dipy/doc_sphinx/theory/derivations/dicom_mosaic.py   connectomeviewer(Download)
''' Just showing the mosaic simplification '''
import sympy
from sympy import Matrix, Symbol, symbols, zeros, ones, eye
 
def numbered_matrix(nrows, ncols, symbol_prefix):
    return Matrix(nrows, ncols, lambda i, j: Symbol(
            symbol_prefix + '_{%d%d}' % (i+1, j+1)))

src/s/i/simplegrate-HEAD/sympy/doc/src/modules/galgebra/GA/coords.py   simplegrate(Download)
from sympy.galgebra.latex_ex import *
from sympy import *
 
import sympy,numpy,sys
 
set_main(sys.modules[__name__])
 

src/s/y/sympy-tensor-HEAD/bin/coverage_report.py   sympy-tensor(Download)
    else:
        cov.erase()
        cov.start()
        import sympy
        sympy.test(source_dir)
        #sympy.doctest()        #coverage doesn't play well with doctests
        cov.stop()

src/s/y/sympy-HEAD/bin/coverage_report.py   sympy(Download)
    else:
        cov.erase()
        cov.start()
        import sympy
        sympy.test(source_dir)
        #sympy.doctest()        #coverage doesn't play well with doctests
        cov.stop()

src/s/y/sympy-old-HEAD/bin/coverage_report.py   sympy-old(Download)
    else:
        cov.erase()
        cov.start()
        import sympy
        sympy.test(source_dir)
        #sympy.doctest()        #coverage doesn't play well with doctests
        cov.stop()

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