Beautiful Python Code

The map() function in Python executes a specified function for each item in an iterable. The item is sent to the function as a parameter. The map() function returns a map object, which is an iterator that yields the results of applying the function to each item. The map object can be converted into a list, tuple, set, or other collection type. Here are some examples of using map() function in Python: Using map() with a single iterable # This example applies the len() function to each element of a list and returns a list of lengths words = ["apple", "banana", "cherry"] lengths = list(map(len, words)) print(lengths) # Output: [5, 6, 6] Using map() with multiple iterables # This example applies the pow() function to two lists of numbers and returns a list of powers base = [2, 3, 4] exponent = [1, 2, 3] powers = list(map(pow, base, exponent)) print(powers) # Output: [2, 9, 64] Using map() with lambda functions # This example uses a lambda function to squ...

The max() function in Python returns the item with the highest value, or the item with the highest value in an iterable. An iterable can be a list, tuple, set, dictionary, string, etc. The max() function can also take two or more arguments and return the largest one. Here are some examples of using max() function in Python: Using max() with a single iterable # This example returns the largest number in a list numbers = [18 ,52 ,23 ,41 ,32] largest = max(numbers) print(largest) # Output: 52 Using max() with multiple arguments # This example returns the largest number among four arguments result = max(5 ,10 ,25 ,99) print(result) # Output: 99 Using max() with strings # This example returns the alphabetically last string in a list words = ["apple" ,"banana" ,"cherry" ,"date"] last = max(words) print(last) # Output: date Using max() with a key function # This example returns the longest string in a list using len() as a key function words = [...

The memoryview() function in Python returns a memory view object of a given argument. A memory view object allows you to access the internal data of an object that supports the buffer protocol without copying it. The buffer protocol provides a way to access the low-level memory of an object. Examples of objects that support the buffer protocol are bytes, bytearray, array.array, etc. Here are some examples of using memoryview() function in Python: Using memoryview() with a bytearray # This example creates a memory view object from a bytearray and prints its elements byte_array = bytearray('ABC', 'utf-8') mv = memoryview(byte_array) print(mv[0]) # Output: 65 print(bytes(mv[0:2])) # Output: b'AB' print(list(mv[0:3])) # Output: [65 ,66 ,67] Using memoryview() to modify internal data # This example modifies the first element of a bytearray using a memory view object byte_array = bytearray('ABC', 'utf-8') print('Before update:', byte_ar...

The min() function in Python returns the smallest item in an iterable or the smallest item among two or more arguments. An iterable can be a list, tuple, set, dictionary, string, etc. The min() function can also take a key function to customize the comparison criteria. Here are some examples of using min() function in Python: Using min() with a single iterable # This example returns the smallest number in a list numbers = [9 ,34 ,11 ,-4 ,27] smallest = min(numbers) print(smallest) # Output: -4 Using min() with multiple arguments # This example returns the smallest number among four arguments result = min(5 ,10 ,25 ,99) print(result) # Output: 5 Using min() with strings # This example returns the alphabetically first string in a list words = ["apple" ,"banana" ,"cherry" ,"date"] first = min(words) print(first) # Output: apple Using min() with a key function # This example returns the shortest string in a list using len() as a key function w...

The next() function in Python returns the next item from an iterator. An iterator is an object that can be iterated over, such as a list, tuple, string, etc. The next() function can also take a default value as a second argument, which is returned if the iterator has no more items. Here are some examples of using next() function in Python: Using next() with a list iterator # This example creates an iterator from a list and prints its items one by one mylist = iter(["apple" ,"banana" ,"cherry"]) x = next(mylist) print(x) # Output: apple x = next(mylist) print(x) # Output: banana x = next(mylist) print(x) # Output: cherry Using next() with a default value # This example returns a default value when the iterator has reached its end mylist = iter(["apple" ,"banana" ,"cherry"]) while True:     item = next(mylist ,"end")     if item == "end":         break     print(item) # Output: apple banana cherry Us...