astrojuanlu

### MATPLOTLIBRC FORMAT

# This is a sample matplotlib configuration file - you can find a copy
# of it on your system in
# site-packages/matplotlib/mpl-data/matplotlibrc.  If you edit it
# there, please note that it will be overridden in your next install.
# If you want to keep a permanent local copy that will not be
# over-written, place it in HOME/.matplotlib/matplotlibrc (unix/linux
# like systems) and C:\Documents and Settings\yourname\.matplotlib
# (win32 systems).

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def hard_work(n):
    """ A naive factorization method. Take integer 'n', return list of
        factors.
    """
    # Do some CPU bond work here
    if n < 2:
        return []
    factors = []
    p = 2

astrojuanlu

In [1]: from sympy import symbols

In [2]: x, y = symbols('x, y')

In [3]: c, d = symbols('c, d')

In [4]: x ** 2 + 2 * y
Out[4]: 
 2      
x  + 2⋅y

astrojuanlu

import numpy

def filter2d(image, filt):
    M, N = image.shape
    Mf, Nf = filt.shape
    Mf2 = Mf // 2
    Nf2 = Nf // 2
    result = numpy.zeros_like(image)
    for i in range(Mf2, M - Mf2):
        for j in range(Nf2, N - Nf2):

astrojuanlu

import matplotlib

matplotlib.use('webagg')

import numpy as np
from scipy.special import binom

import matplotlib.pyplot as plt

from matplotlib.lines import Line2D

astrojuanlu

function v = colonop(a,d,b)
% COLONOP  Demonstrate how the built-in a:d:b is constructed.
%
%   v = colonop(a,b) constructs v = a:1:b.
%   v = colonop(a,d,b) constructs v = a:d:b.
%
%   v = a:d:b is not constructed using repeated addition.  If the
%   textual representation of d in the source code cannot be
%   exactly represented in binary floating point, then repeated
%   addition will appear to have accumlated roundoff error.  In

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