import tensorflow as tf

import os

# Just disables the warning, doesn't enable AVX/FMA
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

a = tf.constant([
    [1, 2],
    [3, 4]
])

a

<tf.Tensor 'Const_4:0' shape=(2, 2) dtype=int32 …

import numpy as np
import matplotlib.pyplot as plt


x = np.random.rand(10)
y = np.random.rand(10)
z = np.sqrt(x**2 + y**2)

plt.subplot(111)
plt.scatter(x, y, s=500, c=z, marker=">")

plt.show()

content = "Toronto is awesome"

content.startswith("Toronto")

True

class Example:
    name = "Example"

    @staticmethod
    def static():
        print("%s static() called" % Example.name)

class Offspring1(Example):
    name = "Offspring1"

class Offspring2(Example):
    name = "Offspring2"

    @staticmethod
    def static():
        print("%s static() called" % Offspring2.name)

Example.static()

Example static() called

Offspring1 …

class Mathematics:

    def addNumbers(x, y):
        return x + y

# create addNumbers static method
Mathematics.addNumbers = staticmethod(Mathematics.addNumbers)

print('The sum is:', Mathematics.addNumbers(5, 10))

The sum is: 15

import statistics

data = [2.75, 1.75, 1.25, 0.25, 0.5, 1.25, 3.5]

print(statistics.mean(data))

1.6071428571428572

print(statistics.median(data))

1.25

print(statistics.variance(data))

1.3720238095238095

import numpy as np
import statsmodels.api as sm

spector_data = sm.datasets.spector.load()

/Users/rajacsp/anaconda3/envs/py36/lib/python3.6/site-packages/statsmodels/datasets/utils.py:100: FutureWarning: arrays to stack must be …

from nltk.stem.snowball import SnowballStemmer

stemmer = SnowballStemmer("english")

print(stemmer.stem("having"))

have

stemmer2 = SnowballStemmer("english",  ignore_stopwords = True)

print(stemmer2.stem("having"))

having

import matplotlib.pyplot as plt
import fix_yahoo_finance as yf

def show_stock(code):
    data = yf.download(code,'2010-01-01','2018-09-01')
    data.Close.plot()
    plt.show()

show_stock('INFY')

[*********************100%***********************]  1 of 1 downloaded

show_stock('AMZN')

[*********************100%***********************]  1 of 1 downloaded