balapriyac

max_discount = 50
discount = 20
assert discount <= max_discount

def get_final_score(score,bonus,max_score):
    if bonus:
        score += 10
    if score > max_score:
        return max_score
    return score

balapriyac

word = "renaissance"
for letter in word:
  if letter not in letter_count:
    letter_count[letter] = 0
  letter_count[letter] += 1

print(letter_count)
# {'r': 1, 'e': 2, 'n': 2, 'a': 2, 'i': 1, 's': 2, 'c': 1}

from collections import Counter

balapriyac

redact_dataset = original_dataset.copy()
redact_dataset = redact_dataset[1:] 
# this dataset does not contain
# Osbourne  Gillions  ogillions0@feedburner.com 31.94 Florida

balapriyac

combined_df_temp = [df1, df2, df3, df4, df5]
original_dataset = pd.concat(combined_df_temp)
print(original_dataset.shape)
# Output
# (5000, 6)

balapriyac

url5 = 'https://raw.githubusercontent.com/OpenMined/PyDP/dev/examples/Tutorial_4-Launch_demo/data/05.csv'
df5 = pd.read_csv(url5,sep=",", engine = "python")
print(df5.head())

balapriyac

url4 = 'https://raw.githubusercontent.com/OpenMined/PyDP/dev/examples/Tutorial_4-Launch_demo/data/04.csv'
df4 = pd.read_csv(url4,sep=",", engine = "python")
print(df4.head())

balapriyac

url3 ='https://raw.githubusercontent.com/OpenMined/PyDP/dev/examples/Tutorial_4-Launch_demo/data/03.csv'
df3 = pd.read_csv(url3,sep=",", engine = "python")
print(df3.head())

balapriyac

url2 =  'https://raw.githubusercontent.com/OpenMined/PyDP/dev/examples/Tutorial_4-Launch_demo/data/02.csv'
df2 = pd.read_csv(url2,sep=",", engine = "python")
print(df2.head())

balapriyac

url1 = 'https://raw.githubusercontent.com/OpenMined/PyDP/dev/examples/Tutorial_4-Launch_demo/data/01.csv'
df1 = pd.read_csv(url1,sep=",", engine = "python")
print(df1.head())

balapriyac

import pydp as dp # by convention our package is to be imported as dp (for Differential Privacy!)
from pydp.algorithms.laplacian import BoundedSum, BoundedMean, Count, Max
import pandas as pd
import statistics # for calculating mean without applying differential privacy
import numpy as np
import matplotlib.pyplot as plt