#comments in python are denoted by the pound sign
import numpy as np                 #numpy is a library we're importing that provides a bunch of useful matrix operations akin to MATLAB
import matplotlib.pyplot as plt    #matplotlib is 2D plotting library which we will use to plot our results

myarray = np.linspace(0, 5, 10)
myarray

myarray = linspace(0, 5, 10)

a = 5      #a is an integer 5
b = 'five' #b is a string of the word 'five'
c = 5.0    #c is a floating point 5  

type(a)

type(b)

type(c)

14/a

14/c

14./a

for i in range(5):
    print "Hi \n"

for i in range(3):
    for j in range(3):
        print i, j
    
    print "This statement is within the i-loop, but not the j-loop"

myvals = np.array([1, 2, 3, 4, 5])
myvals

myvals[0], myvals[4]

myvals[5]

myvals[0:3]

a = np.linspace(1,5,5)

a

b = a

b

a[2] = 17

a

b

c[:] = a[:]

c = np.empty_like(a)

len(c) #shows us how long c is

c[:]=a[:]

c

a[2] = 3

a

c

from IPython.display import YouTubeVideo
# a short video about using NumPy arrays, from Enthought
YouTubeVideo('vWkb7VahaXQ')

from IPython.core.display import HTML
def css_styling():
    styles = open("../styles/custom.css", "r").read()
    return HTML(styles)
css_styling()