from __future__ import print_function
import statsmodels.api as sm
import pandas as pd
from patsy import dmatrices

df = sm.datasets.get_rdataset("Guerry", "HistData").data

df.head()

from __future__ import print_function
import statsmodels.api as sm
import pandas as pd
from patsy import dmatrices

df = sm.datasets.get_rdataset("Guerry", "HistData").data

df.head()

import math
from collections import Counter
import timeit
import numpy as np

def eta(data, unit='natural'):
    base = {
        'shannon' : 2.,
        'natural' : math.exp(1),
        'hartley' : 10.
    }

    if len(data) <= 1:
        return 0

    counts = Counter()

    for d in data …

import re

content = "Eminem means positive"

a = re.search('^Em.*ve$', content)

if(a):
    print('matched')
else:
    print('not matched')

matched

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.random_normal([2, 2])
b = tf.random_normal([2, 2])

a

<tf.Tensor 'random_normal_3:0' shape=(2 …

from numba import njit, prange
import numpy as np

@njit(parallel=True)
def add(A):
    s = 0
    # Without "parallel=True" in the jit-decorator
    # the prange statement is equivalent to range
    for i in prange(A.shape …

import matplotlib.pyplot as plt
import numpy as np

N = 128
x = np.linspace(-5, 5, N)
y = np.exp(-x**2)

y_fft = np.fft.fftshift(np.fft.fft(y).real)
plt.plot(x, y_fft)

plt …

!pip show matplotlib | grep "Version:"

Version: 3.9.3

# !pip install matplotlib

import matplotlib.pyplot as plt

x = [1, 2, 3, 4]

y = [50, 40, 80, 40]

x, y

([1, 2, 3, 4], [50, 40, 80, 40])

plt.plot(x, y, 'ro')

plt.axis([0, 10, 20, 100])

(0.0 …

import plotly.graph_objects as go

fig = go.Figure(data=go.Bar(y=[2, 3, 1]))
fig.show()

    <script type="text/javascript">
    window.PlotlyConfig = {MathJaxConfig: 'local'};
    if (window.MathJax) {MathJax.Hub.Config({SVG: {font: "STIX-Web …

import os
import sys
from sqlalchemy import Column, ForeignKey, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker

Base = declarative_base()

class City(Base …