CoCalc Public Filesanaconda.htmlOpen with one click!
Authors: harald @schil.ly, Testing CoCalc, Harald Schilly, Harald Schilly, HaraldTest SchillyTest, ℏal Snyder, William A. Stein
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Description: Jupyter html version of anaconda.ipynb
Compute Environment: Ubuntu 18.04 (Deprecated)
anaconda
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!hostname
compute1-us

0x  dx\int_0^\infty x\; \mathrm{d}x

In [2]:
import numpy as np; np; np.__version__
Out[2]:
'1.10.2'
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import pandas as pd
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import numba
print(numba)
numba.__version__
<module 'numba' from '/projects/anaconda3/lib/python3.5/site-packages/numba/__init__.py'>
Out[4]:
'0.23.1'
In [5]:
def faster(x, y):
    a = 0.0
    for i in range(x):
        for j in range(i, x):
            b = a
            a += y * .2
            a -= y * .1
            a = (a + b) / 2.
    return a
In [6]:
%timeit faster(2222, 1.111)
1 loop, best of 3: 375 ms per loop
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import numba
faster2 = numba.autojit(faster)
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%timeit faster2(2222, 1.111)
The slowest run took 7.94 times longer than the fastest. This could mean that an intermediate result is being cached.
100 loops, best of 3: 10.4 ms per loop
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def f2(x, y):
    k = 0
    for i in range(x):
        for j in range(y):
            k += i / x + j / y
    return k
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%timeit f2(200, 300)
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@numba.jit(nopython=True, nogil=True)
def f(x, y):
    k = 0
    for i in range(x):
        for j in range(y):
            k += i / x + j / y
    return k
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%timeit f(200, 300)
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%matplotlib inline
import matplotlib.pyplot as plt
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plt.plot([f(x, 2.2) for x in range(1000)])
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np.test()
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np.__version__
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