class Employee:
    def __init__(self, name, age, salary):
        self.name = name
        self.age = age
        self.salary = salary

    def __repr__(self):
        return repr((self.name, self.age, self.salary))

employees = [
    Employee('Peter', 21, 6),
    Employee('Kevin', 22 …

import json

class City:
    def toJSON(self):
        return json.dumps(self, default=lambda o: o.__dict__, sort_keys=True, indent=4)

me = City()
me.name = "Onur"
me.id = 1

print(me.toJSON())  

{
    "id": 1,
    "name": "Onur …

class Person:  
    """
    revisit the Person class to validate argument
    """
    def __init__(self, name, job, pay):
        self.job  = job
        self.pay  = pay
                                          # arg 0 is the self instance here
                                          # giveRaise = rangetest(..)(giveRaise)
    def giveRaise(self, percent):
        self …

import os
import urllib.parse
from urllib.parse import urlparse

class Client:
    def __init__(self, base_url, http_client):
        self.base_url = base_url
        self.http_client = http_client


def client_from_environment():
    default_port = "11434"
    ollama_host = os.getenv("OLLAMA_HOST", "")

    # Parse scheme and hostport
    if "://" in ollama_host:
        scheme, hostport = ollama_host.split("://", 1)
    else:
        scheme, hostport = "http", ollama_host

    # Adjust default …

from collections import Counter

cnt = Counter()

for word in ['Toronto', 'Montreal', 'Montreal', 'Waterloo', 'Toronto', 'Toronto']:
    cnt[word] += 1

cnt

Counter({'Montreal': 2, 'Toronto': 3, 'Waterloo': 1})

type(cnt)

collections.Counter

from PIL import Image

# Open the image
im = Image.open("/Users/rajacsp/datasets/barcode_images/orange.jpg")

im.save("/Users/rajacsp/datasets/barcode_images/orange_3.jpg", format="JPEG", quality=70)

from PIL import Image
import cv2

# Open the image
img = cv2.imread('/Users/rajacsp/datasets/barcode_images/orange.jpg')


# save image with lower compression—bigger file size but faster decoding
#cv2.imwrite('/Users/str-kwml0011/datasets/random_images …

import requests
import json

response = requests.get("https://randomuser.me/api/")

response_json = response.json()

print(response_json)

{'results': [{'gender': 'female', 'name': {'title': 'Ms', 'first': 'Mia', 'last': 'Walker'}, 'location': {'street': {'number': 8562, 'name': 'Port Hills Road'}, 'city': 'Hamilton', 'state': 'Waikato', 'country': 'New Zealand', 'postcode': 45938, 'coordinates': {'latitude': '54.8821', 'longitude': '15.6902 …

import copy

a = [1, 2, 3]

b = copy.copy(a)

b

[1, 2, 3]

b.append(4)

a

[1, 2, 3]

b

[1, 2, 3, 4]

# deep copy

c = copy.deepcopy(a)

c

[1, 2, 3 …

import re
from collections import Counter

words = re.findall(r'\w+', open('../../../assets/news.txt').read().lower())
Counter(words).most_common(10)

[('a', 37),
 ('and', 36),
 ('to', 30),
 ('the', 27),
 ('that', 24),
 ('of', 18),
 ('employees', 17 …