import re

text = "It happened on Feb 21 at 3:30"

answer= re.findall(r'\b\d{2}\b', text)
print(answer)

['21', '30']

# To match only two digits with spaces
answers = re …

import pyutil as pyu
pyu.get_local_pyinfo()

'conda env: ml311; pyv: 3.11.10 (main, Oct  3 2024, 07:29:13) [GCC 11.2.0]'

print(pyu.ps2("translate"))

translate==3.6.1

# !pip install translate==3.6.1

from translate import Translator

# Your contents
contents = [
    "Hello, how are you?",
    "I …

import numpy as np
import pandas as pd

df = pd.read_csv('data1.csv')

df

try:
    "soemthing".toFloat
except (ValueError, KeyError, AttributeError) as e:
    print('error : ', str(e))
    print(getattr(e, 'message', repr(e)))

error :  'str' object has no attribute 'toFloat'
AttributeError("'str' object has no attribute 'toFloat'")

# https://github.com/rajacsp/public-dataset/blob/master/food.csv

from io import BytesIO

import requests
import pandas as pd

FILEPATH = 'https://raw.githubusercontent.com/rajacsp/public-dataset/master/food.csv'

r = requests.get(FILEPATH)

data = r.content

data

b'Food_ID,Food_Name,Category,Price,Calories,Available\n1,Pizza,Fast Food,8.99 …

import pandas as pd
import numpy as np

abc = np.array([
    [9, 13, 10],
    [7, 12, 9],
    [19, 11, 8],
    [12, 10, 11]
])

abc

array([[ 9, 13, 10],
       [ 7, 12,  9],
       [19, 11,  8],
       [12, 10 …

import numpy as np
import pandas as pd

data = {
    'dinner' : ['chicken wrap', 'stake', 'rudy burger', 'sushi', 'chicken teriyaki', 'caesar salad']
}

df = pd.DataFrame(data)

df

from scipy.fftpack import fft
import numpy as np

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

x

array([1, 2, 3, 4])

y = fft(x)

y

array([10.+0.j, -2.+2.j, -2.+0.j …

# https://www.azlyrics.com/lyrics/fifthharmony/worthit.html
lyrics = """
Give it to me, I'm worth it
Baby, I'm worth it
Uh huh I'm worth it
Gimme gimme I'm worth it
Give it to me …

import os

class MyPath:
    def __init__(self, path):
        self.path = path

    def __fspath__(self):
        return self.path

p = MyPath("example.txt")

# Python will call __fspath__ internally
print(os.fspath(p))   # Output: example.txt

# You can now use it directly with file operations
# with open(p, "w") as f:
#     f.write …