A class attribute is an attribute of the class rather than an attribute of an instance of the class.In the code below class_var is a class attribute, and i_var is an instance attribute: All instances of the class have access to class_var, which can also be accessed as a property of the class itself −Exampleclass MyClass (object):     class_var = 2     def __init__(self, i_var):         self.i_var = i_var foo = MyClass(3) baz = MyClass(4) print (foo.class_var, foo.i_var) print (baz.class_var, baz.i_var)OutputThis gives the output(2, 3) (2, 4)

Python tuple is an immutable object. Hence any operation that tries to modify it (like append/insert) is not allowed. However, following workaround can be used.First, convert tuple to list by built-in function list(). You can always append as well as insert an item to list object. Then use another built-in function tuple() to convert this list object back to tuple.>>> T1=(10,50,20,9,40,25,60,30,1,56) >>> L1=list(T1) >>> L1 [10, 50, 20, 9, 40, 25, 60, 30, 1, 56] >>> L1.append(100) >>> L1.insert(4,45) >>> T1=tuple(L1) >>> T1 (10, 50, 20, 9, 45, 40, 25, 60, 30, 1, 56, 100)

Tuples in Python are immutable, meaning that once they are created, their contents cannot be changed. However, there are situations when we want to change the existing tuple, in which case we must make a new tuple using only the changed elements from the original tuple. Following is the example of the tuple − s = (4, 5, 6) print(s) print(type(s)) Following is the output of the above code − (4, 5, 6) Tuple is immutable, although you can use the + operator to concatenate several tuples. The old object is still present at this point, and ... Read More

Slicing operator can be used with any sequence data type, including Tuple. Slicing means separating a part of a sequence, here a tuple. The symbol used for slicing is ‘:’. The operator requires two operands. First operand is the index of starting element of slice, and second is index of last element in slice+1. Resultant slice is also a tuple.>>> T1=(10,50,20,9,40,25,60,30,1,56) >>> T1[2:4] (20, 9)Both operands are optional. If first operand is missing, slice starts from beginning. If second operand is missing, slice goes upto end.>>> T1=(10,50,20,9,40,25,60,30,1,56) >>> T1[6:] (60, 30, 1, 56) >>> T1[:4] (10, 50, 20, 9)

By definition, tuple object is immutable. Hence it is not possible to remove element from it. However, a workaround would be convert tuple to a list, remove desired element from list and convert it back to a tuple.>>> T1=(1,2,3,4) >>> L1=list(T1) >>> L1.pop(0) 1 >>> L1 [2, 3, 4] >>> T1=tuple(L1) >>> T1 (2, 3, 4)

The built-in functions repr() and str() respectively call object.__repr__(self) and object.__str__(self) methods. First function computes official representation of the object, while second returns informal representation of the object. Result of both functions is same for integer object. >>> x = 1 >>> repr(x) '1' >>> str(x) '1' However, it is not the case for string object. >>> x = "Hello" >>> repr(x) "'Hello'" >>> str(x) 'Hello' Return value of repr() of a string object can be evaluated by eval() function and results in valid string object. However, result of str() can not be evaluated. ... Read More

Presence of a certain file in the computer can be verified by two ways using Python code. One way is using isfile() function of os.path module. The function returns true if file at specified path exists, otherwise it returns false. >>> import os >>> os.path.isfile("d:\Package1\package1\fibo.py") True >>> os.path.isfile("d:/Package1/package1/fibo.py") True >>> os.path.isfile("d:onexisting.txt") Note that to use backslash in path, two backslashes have to be used to escape out of Python string. Other way is to catch IOError exception that is raised when open() function has string argument corresponding to non-existing file. try: fo = open("d:onexisting.txt", ... Read More

In this article, we will show you how to remove the index list elements from the original list using python. Now we see 2 methods to accomplish this task − Using pop() method Using del keyword Assume we have taken a list containing some elements. We will remove the index list elements from the main list using different methods as specified above. Note We must sort the indices list in descending order because removing elements from the beginning will change the indices of other elements, and removing another element will result in an incorrect result due to misplaced ... Read More

In Python, a list is an ordered sequence that can hold several object types such as integer, character, or float. In this article, we will show you how to join the list of lists(nested lists) using python. Now we see 4 methods to accomplish this task − Using nested for loop Using List comprehension Using sum() function Using NumPy module Assume we have taken a list of lists containing some elements. We will join those list of lists and return the result using different methods as specified above. Method 1: Using nested for loop Algorithm (Steps) Create a ... Read More

In this article, we will show you the remove an element from a list by index using Python. Here we see 4 methods to accomplish this task − Using the del keyword to remove an element from the list Using the pop() function to remove an element from the list Using slicing to remove an element from the list Using indices to remove multiple elements from the list Assume we have taken a list containing some elements. We will remove a specific item from a list by giving the index value using the above-specified methods. Method 1: Using ... Read More