from my_package.analytics.stats import calculate_mean

from abc import ABC, abstractmethod

class Shape(ABC):
    @abstractmethod
    def area(self):
        pass

class Rectangle(Shape):
    def area(self):
        return 10 * 5

shape = Rectangle()
print(shape.area())

50

import csv

with open("data.csv", "r") as file:
    reader = csv.DictReader(file)
    for row in reader:
        print(row["name"], row["age"])

Alice 25
Bob 30

import pandas as pd

data = {
    'city' : ['Toronto', 'Montreal', 'Waterloo'],
    'points' : [80, 70, 90]
}

data

{'city': ['Toronto', 'Montreal', 'Waterloo'], 'points': [80, 70, 90]}

type(data)

dict

df = pd.DataFrame(data)

df

class Animal:
    def sound(self):
        print("Some sound")

class Dog(Animal):
    def bark(self):
        print("Dog barks")

d = Dog()
d.sound()
d.bark()

Some sound
Dog barks

a=10
b=80
c=a+b

c

90

from datetime import datetime

def get_age(d):
    d1 = datetime.now()
    months = (d1.year - d.year) * 12 + d1.month - d.month

    year = int(months / 12)
    return year

age = get_age(datetime(1991, 1, 1))

age

33

import csv

with open("users.csv", "a", newline="") as file:
    writer = csv.writer(file)
    writer.writerow(["Charlie", 40, "USA"])

import csv

with open("users.csv", "a", newline="") as file:
    writer = csv.writer(file)
    writer.writerow(["Charlie", 40, "Canada"])

config = {"theme": "dark"}

def update_config(new_theme):
    config["theme"] = new_theme  # No global keyword needed