In [1]:
# Merging Lists

# Lists are created using square brackets.
L1 = [1, 2, 5, 12]
L2 = [6, 7]
print(L1)
print(L2)

[1, 2, 5, 12]
[6, 7]
In [2]:
# You can merge the two lists using the addition notation.
print(L1 + L2)

[1, 2, 5, 12, 6, 7]
In [3]:
# If you're using arrays made from the 'NumPy' module, merging, or concatenating
# two arrays is a little different.
import numpy as np 
A1 = np.array(L1)
A2 = np.array(L2)
A3 = np.concatenate((A1, A2))
print(A3)

[ 1  2  5 12  6  7]
In [4]:
# You can also build matrices from arrays (assuming the arrays have the same length)
A1 = np.array([1, 2, 3, 4])
A2 = np.array([-5, -6, -7, -8])
M1 = np.matrix([A1, A2])
print(M1)

[[ 1  2  3  4]
 [-5 -6 -7 -8]]
In [5]:
# The matrix can then be transposed:
M2 = np.transpose(M1)
print(M2)

[[ 1 -5]
 [ 2 -6]
 [ 3 -7]
 [ 4 -8]]
In [6]:
# Here's a way that a list can be buily using a loop.

# First, define an empty list.
listA = []

# Next add to the list in successive iterations of a loop
for i in range(9):
    listA = listA + [i**2.5]

# Now display the contents of the list.    
listA
Out[6]:
[0.0,
 1.0,
 5.656854249492381,
 15.588457268119896,
 32.0,
 55.90169943749474,
 88.18163074019441,
 129.64181424216494,
 181.01933598375618]