In [1]:

    

import numpy as np


    

In [2]:

    

x = np.arange(10)
y = np.arange(10)


    

In [3]:

    

x + y


    

    
Out[3]:





array([ 0,  2,  4,  6,  8, 10, 12, 14, 16, 18])

In [4]:

    

x + 6


    

    
Out[4]:





array([ 6,  7,  8,  9, 10, 11, 12, 13, 14, 15])

In [5]:

    

x = np.arange(12).reshape(3,4)
y = 2*np.arange(12).reshape(3,4)


    

In [6]:

    

x + y


    

    
Out[6]:





array([[ 0,  3,  6,  9],
       [12, 15, 18, 21],
       [24, 27, 30, 33]])

In [7]:

    

x.shape


    

    
Out[7]:





(3, 4)

In [8]:

    

y.shape


    

    
Out[8]:





(3, 4)

In [9]:

    

x


    

    
Out[9]:





array([[ 0,  1,  2,  3],
       [ 4,  5,  6,  7],
       [ 8,  9, 10, 11]])

In [14]:

    

z = np.arange(4)
z


    

    
Out[14]:





array([0, 1, 2, 3])

In [15]:

    

x + z


    

    
Out[15]:





array([[ 0,  2,  4,  6],
       [ 4,  6,  8, 10],
       [ 8, 10, 12, 14]])

In [16]:

    

x.shape, z.shape


    

    
Out[16]:





((3, 4), (4,))

In [17]:

    

z2 = np.arange(3)
z2


    

    
Out[17]:





array([0, 1, 2])

In [18]:

    

x + z2


    

    




---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-18-9b500e1856f1> in <module>()
----> 1 x + z2

ValueError: operands could not be broadcast together with shapes (3,4) (3,) 

In [19]:

    

x + z2[:, np.newaxis]


    

    
Out[19]:





array([[ 0,  1,  2,  3],
       [ 5,  6,  7,  8],
       [10, 11, 12, 13]])

In [21]:

    

x + z2[:, None]


    

    
Out[21]:





array([[ 0,  1,  2,  3],
       [ 5,  6,  7,  8],
       [10, 11, 12, 13]])

In [31]:

    

x + z2[None, :]


    

    




---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-31-dc77339e598b> in <module>()
----> 1 x + z2[None, :]

ValueError: operands could not be broadcast together with shapes (3,4) (1,3) 

In [33]:

    

z2[None, :].shape


    

    
Out[33]:





(1, 3)

In [22]:

    

z2.shape


    

    
Out[22]:





(3,)

In [24]:

    

print(z2[:, None])


    

    




[[0]
 [1]
 [2]]

In [28]:

    

x.shape


    

    
Out[28]:





(3, 4)

In [30]:

    

z2[:, None, None].shape


    

    
Out[30]:





(3, 1, 1)

In [35]:

    

import os


    

In [36]:

    

os.environ['DROPBOX']


    

    
Out[36]:





'/Users/tdm/Dropbox'

In [37]:

    

os.environ['PATH']


    

    
Out[37]:





'/Users/tdm/lsst_setup:/usr/local/mysql/bin:/opt/local/bin:/opt/local/sbin:/Users/tdm/bin:/Users/tdm/anaconda/bin:/opt/local/bin:/opt/local/sbin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/opt/X11/bin:/Library/TeX/texbin'

In [39]:

    

os.environ['ROBOAODIR'] + '/my/datafile'


    

    
Out[39]:





'/Users/tdm/Dropbox/kepler/data/roboao/my/datafile'

In [40]:

    

for x in range(10):
    print(x)


    

    




0
1
2
3
4
5
6
7
8
9

In [44]:

    

for x in 'abcdefgh':
    print(x)


    

    




a
b
c
d
e
f
g
h

In [49]:

    

x = 3; y = 4.12512


    

In [52]:

    

'x is {0:.3f}, y is {1:.1f}!'.format(x, y)


    

    
Out[52]:





'x is 3.000, y is 4.1!'

In [53]:

    

l = [1,3,5,7,9]
'index 2 of l is {0[2]}, index 4 is {0[4]}'.format(l)


    

    
Out[53]:





'index 2 of l is 5, index 4 is 9'

In [55]:

    

d = dict(a=2, b=3)
'check out this value: {0[a]}'.format(d)


    

    
Out[55]:





'check out this value: 2'

In [60]:

    

import re

s = 'abcb124cde'

m = re.search('b\d+', s)
if m:
    print('yes!')


    

    




yes!

In [61]:

    

m.group(0)


    

    
Out[61]:





'b124'

In [64]:

    

s = 'okj?okl,'

m = re.search('\w+', s)
m.group(0)


    

    
Out[64]:





'okj'

In [ ]: