import numpy as np
a = np.array([1, 2, 3])
print(a)

[1 2 3]

b = np.array([[1, 2], [3, 4]])
print(b)

[[1 2]
 [3 4]]

c = np.zeros((2, 3))
print(c)

[[0. 0. 0.]
 [0. 0. 0.]]

d = np.ones((3, 3))
print(d)

[[1. 1 …

def check_odd_or_even(input_number):

    if input_number % 2 == 0:
        return f"{input_number} is Even"

    return f"{input_number} is Odd"

check_odd_or_even(7)

'7 is Odd'

check_odd_or_even(8)

'8 is Even'

check_odd_or_even(0)

'0 is Even'

check_odd_or_even(-1)

'-1 is Odd'

def odd_even():
    for i in range(10):      
        if i % 2 == 0:
              print(f"The number {i} is even")
        else:
            print(f"The number {i} is odd")

odd_even()

The number 0 is even
The number 1 is odd
The number 2 is even
The number 3 is odd
The number 4 …

from PIL import Image
import numpy as np
import urllib.request

image_path = 'https://multimedia.bbycastatic.ca/multimedia/products/500x500/107/10736/10736343.jpg'

with urllib.request.urlopen(image_path) as url:
    with open('temp.jpg', 'wb') as f:
        f.write(url.read())

img = Image.open('temp.jpg')

img

from PIL import Image
import numpy as np
import urllib.request

image_path = 'https://multimedia.bbycastatic.ca/multimedia/products/500x500/107/10736/10736343.jpg'

with urllib.request.urlopen(image_path) as url:
    with open('temp.jpg', 'wb') as f:
        f.write(url.read())

img = Image.open('temp.jpg')

img

print(img)

<PIL …

import pandas as pd

s = pd.Series([10, 20, 30])
print(s)

0    10
1    20
2    30
dtype: int64

s = pd.Series([10, 20, 30], index=['a', 'b', 'c'])
print(s)

a    10
b    20
c    30
dtype: int64

s = pd.Series({'a': 1, 'b': 2})
print(s …

error_string = """
{
    "error": {
        "error_code": 1002,
        "error_message": "Unspecified Error",
        "details": "Unexpected error: ['Traceback (most recent call last):', '  File \"/home/rajaraman/rprojects/ml-api-work/ml-api-raja/services/mlapi/app/main.py\", line 228, in post_predict_classic_joblib_api', '    result_obj = await label_generator.match_with_multi(', '                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^', '  File \"/home/rajaraman/rprojects/ml-api-work/ml-api-raja/services/mlapi/app/label_generator.py\", line 770, in match_with_multi', '    feature_scores …

# Example 1 - Arithmetic Operators

print(1 + 2)

3

# Example 2 - Arithmetic Operators
print(2 + 3)

5

# Example 3 - Arithmetic Operators
print(3 + 4)

7

# Example 4 - Arithmetic Operators
print(4 + 5)

9

# Example 5 - Arithmetic Operators
print(5 + 6)

11

# Example 6 - Arithmetic Operators
print(6 + 2)

8

# Example 7 …

import random

print(random.random())

0.487560015622336

print(random.randint(1, 10))

6

print(random.randrange(0, 20, 2))

12

print(random.choice(['red', 'green', 'blue']))

red

print(random.choices(['A', 'B', 'C'], k=5))

['C', 'B', 'C', 'B', 'A']

print(random.choices(['A', 'B', 'C'], k=5))

['A', 'C …

import pyutil as pyu

pyu.get_local_pyinfo()

'conda env: C:\\Users\\Afia Jahan\\anaconda3\\envs\\py312; pyv: 3.12.11 | packaged by Anaconda, Inc. | (main, Jun  5 2025, 12:58:53) [MSC v.1929 64 bit (AMD64)]'

import pandas as pd
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import train_test_split …