def quicksort(arr):
    if len(arr) <= 1:
        return arr
    pivot = arr[len(arr) // 2]
    left = [x for x in arr if x < pivot]
    middle = [x for x in arr if x == pivot]
    right = [x for x …

import random

MAX = 10

for x in range(MAX):
    val = random.randint(0, 1)
    print(val)

0
1
1
0
1
0
1
1
0
0

import random

MAX = 8

for x in range(MAX):
    val = random.randint(14, 30)
    print(val)

17
21
27
30
17
22
14
20

import random as rd

def get_random():
    return rd.randint(0, 100)

get_random()

61

def get_random_year_duration():
    return round(rd.uniform(1,2), 1)

get_random_year_duration()

1.6

def get_random_price():
    return round(rd.uniform(1, 100), 2)

get_random_price()

43.21

def …

from random import randrange
import datetime

def random_date(start,l):
   current = start
   while l >= 0:
      curr = current + datetime.timedelta(minutes=randrange(60))
      yield curr
      l-=1

def get_random_timestamp(max):
    startDate = datetime.datetime(2013, 9, 20,13 …

for x in range(0, 10, 2):
    print(x)

0
2
4
6
8

for x in range(0, 100, 10):
    print(x)

0
10
20
30
40
50
60
70
80
90

from io import BytesIO
import requests
import pandas as pd

FILEPATH = 'https://raw.githubusercontent.com/rajacsp/public-dataset/master/zynicide-wine-reviews/winemag-data-130k-v2.csv'

r = requests.get(FILEPATH)
data = r.content

onlinedata = BytesIO(data)

df = pd.read_csv(onlinedata …

from io import BytesIO
import requests
import pandas as pd

filename = 'https://gitlab.com/rajacsp/datasets/raw/master/FEELI%20SONG%20LIST%20-%20Songs.csv'

r = requests.get(filename)
data = r.content

onlinedata = BytesIO(data)

# onlinedata …

from io import BytesIO
import requests
import pandas as pd

filename = 'https://docs.google.com/spreadsheet/ccc?key=1EfyD7A4YcdAzTfUO0t3yQ0HawetVF5pefS5pPyGVX4g&output=csv'

r = requests.get(filename)
data = r.content

df = pd.read_csv(BytesIO(data), index_col=0 …

from io import BytesIO
import requests
import pandas as pd

filename = 'https://docs.google.com/spreadsheet/ccc?key=0Ak1ecr7i0wotdGJmTURJRnZLYlV3M2daNTRubTdwTXc&output=csv'

r = requests.get(filename)
data = r.content

df = pd.read_csv(BytesIO(data …