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Python if-else The else statement is associated with if statement. An else statement executes if the conditional expression in if the statement becomes false or a Zero value. If the conditional expression is false, then control transfers to the else …
The list is one of the most versatile, mutable data-structures in Python. It can store heterogeneous data or different types of data. The list contains comma-separated values (item) within the square brackets. Creating a list in Python is simple as …
The list() class in Python creates a list object where the list object is a collection which is ordered and changeable. Syntax
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class list([iterable]) |
Parameter Iterable: It is a required parameter which represents a sequence, collection or an iterator object Return It returns …
Python Keywords Keywords are the reserved words that have special meanings to the compiler. They cannot be used as a variable. Keywords are the part of the syntax, for example:
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return (a+b) |
Here return is a keyword, whereas, a and b …
Python if statement Decision making is an essential feature of any programming languages. Condition checking is the strength of decision making. Python provides many decision-making statements, such as: If statement If-else statement elif statement if statement The if statement is …
Python elif The elif statement is used to check multiple conditions and execute the specific block of statements depending upon the true condition among them. Syntax
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if expression1: statement elif expression2: statement elif expression3: statement else: statement |
The elif statement can be optional such as else. When the if expression …
Python for loop A for loop in Python executes a block of code for a specified number of times, based on a given sequence. The for loop in Python is different than any other programming language like C or Pascal. …
Python Installation guide Step by Step Python is widely used high-level programming language. The first version of Python was launched in 1991. Since then, Python has been gaining popularity. It is considered as one of the most user-friendly and flexible …
Loops are essential in Python or any other programming language, as they help to execute a block of code repetitively. Sometimes, situations arise where you would need to use a piece of code again and again, but you don’t want …
Python is a powerful, easy to learn, popular programming language. It has effective data structures and its elegant syntax makes it user-friendly language. Below are the key features of Python: 1. Python is Easy When we say Python is ‘easy,’ …
Python is a high-level, easy, interpreted, general-purpose, and dynamic programming language. It supports object-oriented programming approach. It is straight forward to learn, and its elegant syntax allows programmers to express concepts in fewer lines of code as compared to other …
PHP chop() Function The chop() function in PHP removes whitespaces or other predefined characters from the right end of the specified string. Syntax
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chop(str,charlist) |
Parameter str(required)– This parameter specifies the string to check. charlist(optional)- This parameter represents which characters are …
Python Set difference() Method The set.difference() method in Python returns the set difference of two sets(A-B). Syntax
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set.difference(set1) |
Parameter set- This argument represents a set (minuend) set1- This arguments represents a set(subtrahend) Return This method returns the difference of the …
Python Set clear() Method The set.clear() method removes all the elements from the set. Syntax
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set.clear() |
Parameter NA Return None Example 1
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# Python program explaining # the set.clear() method # initializing the set fruits = {"watermelon", "banana", "apple"} # printing the set print("Actual set:",fruits) # clearing off all the elements from the fruits set. fruits.clear() print("After the clear() method...") print("Set:",fruits) |
Output
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Actual set: {'apple', 'banana', 'watermelon'} After the clear() method... Set: set() |
Example 2
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# Python program explaining # the set.clear() method # set of week week = {'Monday', 'Tuesday', 'Wednesday','Thursday'} # locating the elements of week in newWeek newWeek = week # clearing all the elements week.clear() print('Removing all the element using clear() method') print('Set: ', week) print('New set: ', newWeek) # again initializing the set week = {'Wednesday','Thursday','Friday','Saturday'} newWeek = week week = {} print('Removing all the element by assigning {}') print('Set: ', week) print('New Set: ', newWeek) |
Output Removing all the element using clear() method Set: set() New set: …
Python Set add() Method The set.add() method adds the specified element to a set. If the element is already present in the set, it doesn’t add it. Syntax
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set.add(element) |
Parameter element- This parameter represents the element that is to be …
Python Set intersection() method The set.intersection() method in Python returns a new set with elements that are similar between two or more sets. Syntax
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set.intersection(set1, set2 ... etc) |
Parameter set1- This parameter represents the set to search for equal items. set2(optional)- This argument …
Python Set discard() method The set.discard() method in Python removes a specified element from the set (if present). Syntax
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set.discard(value) |
Parameter value- This parameter represents the element to be removed from the set. Return None Example 1
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# Python program explaining # the set.discard() method # initializing the set fruits = {"grapes","watermelon", "banana", "apple","orange"} print("Actual set: ",fruits) print("After discarding few items from the set...") # removes the orange from the set. fruits.discard("orange") # removing grapes from the set. fruits.discard("grapes") # After discarding some fruits from the set print("New set: ",fruits) |
Output
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Actual set: {'watermelon', 'grapes', 'orange', 'apple', 'banana'} After discarding few items... New set: {'watermelon', 'apple', 'banana'} |
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Python Set difference_update() method The set.difference_update() method in Python removes the items that exist in both sets. Syntax
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set.difference_update(set1) |
Parameter set- This argument represents a set (minuend) set1- This arguments represents a set(subtrahend) Return None Example 1
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# Python program explaining # the set.difference_update() method # initializing the first set set1 = {"apple", "banana", "cherry"} print("First Set:",set1) # initializing the second set set2 = {"google", "microsoft", "apple"} print("Second Set:",set2) # removes the items that are common in both sets. set1.difference_update(set2) print("After calling the difference_update() method...") # prinitng the first set method print("First set:",set1) # prinitng the second set method print("Second set:",set2) |
Output
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First Set: {'cherry', 'banana', 'apple'} Second Set: {'apple', 'microsoft', 'google'} After calling the difference_update() method... First set: {'cherry', 'banana'} Second set: {'apple', 'microsoft', 'google'} |
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Python Set issubset() method The set.issubset() method in Python returns True if all items in the set exists in the specified set, otherwise it returns False. Syntax
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set.issubset(set1) |
Parameter set- This parameter represents the set to check whether it is …
Python Set isdisjoint() method The set.isdisjoint() method in Python returns a boolean value True if two sets are disjoint sets ( i.e. none of the elements are present in both sets), otherwise it returns False. Syntax
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set.isdisjoint(set1) |
Parameter set- This …