kshirsagarsiddharth

from collections import namedtuple
Bevrage = namedtuple('Bevrage',['name','color','type'])
# defining a class in which named tuple acts as a constructor or #__init__() method
class BeverageContainer(Bevrage): 
    def container_type(self):
        if self.type == 'hot':
            return "Use a Mug"
        else:
            return "A mug is not required"

kshirsagarsiddharth

# consider a shopping list which contains various objects with quantity and cost and this items are stored in a list as tuples with their description and we want to find the total cost with discount

from collections import namedtuple

grocery = namedtuple('grocery',['item_name','item_weight','item_cost',
                                'item_quantity','item_dicsount'])

shopping_list_tuples = [('apples',2.3,128,7,13.6),('chicken',1,228,2,110),
                        ('milk',0.6,18,2,0),('lemons',0.3,45,20,50)]

kshirsagarsiddharth

from urllib.request import urlopen

def read_data(name: str):
    if name.startswith(('http:','https:','ftp:')):
        return urlopen(name).read()
    else:
        with open(name) is f:
            return f.read()

kshirsagarsiddharth

from collections import namedtuple
animal = namedtuple('animal',['species_name','legs_no','color'])
dog = animal('canine',4,'white')
dog.legs_no = 78

kshirsagarsiddharth

from collections import namedtuple
animal = namedtuple('animal',['species_name','legs_no','color'])
dog = animal('canine',4,'white')
dog = dog._replace(legs_no = 6)

print(dog.legs_no)

# Output: 6

kshirsagarsiddharth

text = "HELLO WORLD, hello world, Hello World".
re.sub("hello",'good morning',text,flags=re.IGNORECASE)
# Output: 'good morning WORLD, good morning world, good morning World'

kshirsagarsiddharth

def matchcase(word):
    def replace(m):
        text = m.group()
        if text.isupper():
            return word.upper()
        elif text.islower():
            return word.lower()
        elif text[0].isupper():
            return word.capitalize()
        else:

kshirsagarsiddharth

s1 = 'Jalape\u00f1o' # composed form
s2 = 'Jalapen\u0303o' # decomposed form
print(s1,s2) 
# Output: Jalapeño Jalapeño
print(s1 == s2)
# Output: False

from unicodedata import normalize
v1 = normalize('NFC',s1)
v2 = normalize('NFC',s2)

kshirsagarsiddharth

import unicodedata

s3 = "tête-à-tête"
s4 = unicodedata.normalize('NFD',s3)
print(len(s3) == len(s4))
# Output: False 
[val for val in s4 if unicodedata.combining(val)]
# Output: ['̂', '̀', '̂']

kshirsagarsiddharth

text_to_translate = "īīŏŏūāāīīĕĕĕŏōūў ūūĭĭŏŏŭŭēīūūўĕŏūūȳēēīū ēēīīŏŏōōōō"
import unicodedata
import sys

dictonary_of_accents = dict.fromkeys(val for val in range(sys.maxunicode) if 
                                     unicodedata.combining(chr(val)))
# here we are using dict.fromkeys(keys,value) method of the dict class which returns a dictonary.
#with specified keys and values in this case the values is not specified which means that the value of the keys is none

normalized_text = unicodedata.normalize('NFD',text_to_translate)