Intro to Python

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# using the notebook

1 + 1


    

    
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2

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# variables

a = 2
b = a * 3
print(b)


    

    




6

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# lists

my_list = [1, "hi", [2, 3]]


    

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print(my_list[0])


    

    




1

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print(my_list[-1])


    

    




[2, 3]

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# loops

for item in my_list:
    print(item)


    

    




1
hi
[2, 3]

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# conditionals

value = 5

if value > 3:
    print("{0} > 3".format(value))
else:
    print("{0} <= 3".format(value))


    

    




5 > 3

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# arrays

import numpy as np

my_array = np.array([1.0, 2.3, 3.5])


    

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print(my_array)


    

    




[ 1.   2.3  3.5]

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print(my_array[0])


    

    




1.0

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print(my_array[:2])


    

    




[ 1.   2.3]

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print(my_array.shape)


    

    




(3,)

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print(np.arange(10))


    

    




[0 1 2 3 4 5 6 7 8 9]

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array_2d = np.reshape(np.arange(6), (2, 3))


    

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print(array_2d)


    

    




[[0 1 2]
 [3 4 5]]

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print(array_2d[0])


    

    




[0 1 2]

In [6]:

    

# NBVAL_IGNORE_OUTPUT

print(array_2d[1, 1])


    

    




4

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print(array_2d.shape)


    

    




(2, 3)

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print(array_2d * my_array)


    

    




[[  0.    2.3   7. ]
 [  3.    9.2  17.5]]

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print(array_2d + my_array)


    

    




[[ 1.   3.3  5.5]
 [ 4.   6.3  8.5]]

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# plotting

%matplotlib inline

import matplotlib.pyplot as plt

x = np.random.random(100)

plt.plot(x);


    

In [2]:

    

data = np.random.random((100, 100))
plt.imshow(data);


    

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