📚 Python Operators And Literal Collections ✍️

Underscore _ usage in python

TUPLE OPERATIONS

• It can be used to store various items in a single variable. It is enclosed by the parentheses ().
• The elements are separated by the special character like comma (,).
• It is considered to be immutable which means it can't be modified after creation.
• The (del) keyword can delete the tuple completely.
• Tuple items are indexed. For example, the first item is considered as the index [0], the second one as index [1], etc.

Input: 

# viewing the data 
Tuple= ("apple", "banana", "cherry", "apple", "cherry") 
print (Tuple) 

# this is used to delete the tuple
del Tuple 

Output: 
('apple', 'banana', 'cherry', 'apple', 'cherry') 

Input: 

#To determine how many items a tuple has use the len() function. 
number = ("one", "two", "three")
print(len(number)) 

Output: 
3 

Input: 

#A tuple with strings, integers and boolean #values: 
value = ("abc", 34, True, 40, "male") 
print(value)

Output: 
('abc', 34, True, 40, 'male') 

Input: 

#Add two tuples 
tuple1= ("x", "y", "z") 
tuple2 = (1, 2, 3) 
tuple3 = tuple1 + tuple2 
print(tuple3) 

Output: 
('x', 'y', 'z', 1, 2, 3) 

LIST OPERATIONS

• In this following operation, the list is the most versatile datatype available in the Python program which can be written as a list of comma-separated values
• It is enclosed by "square brackets [...]"
• It is considered to be mutable which means it can be modified after creation.
• We can add or remove the following items after the list has been created.

Input: 

list1 = ['Maths', 'English', 2020, 2021] 
list2 = [1, 2, 3, 4, 5, 6, 7] 

#view the data 
print(list1) 
print(list2) 

Output: 
['Maths', 'English', 2020, 2021] 
[1, 2, 3, 4, 5, 6, 7] 

#separately view the data using index values 

print ("list1[0]: ", list1[0]) 
print ("list1[2]: ", list1[2]) 
print ("list2[1:7]: ", list2[1:7]) 

Output: 
list1[0]: maths
list1[2]: 2020 
list2[1:7]: [3, 4, 5, 6] 

Input: 

#add and remove operations using list 
fruits = ["apple", "banana", "cherry"] 

# add a data (orange) 
fruits. append("orange") 
print(fruits) 

Output: 
['apple', 'banana', 'cherry', 'orange'] 

# remove a data (banana)
fruits. remove("banana") 
print(fruits) 

Output:  
['apple', 'cherry', 'orange'] 

SET OPERATIONS

• It can be used to store multiple items in a single variable.
• A set is a collection of variables that is both "unordered" and "unindexed".
• It can be written with curly brackets "{…}"
• It having unique values and eliminate duplicate items.

Input: 

#view the data 
number = {"one", "two", "three"} 
print(number) 

Output: 
{'two', 'three', 'one'} 

Input: 

#This example shows that set eliminate the duplicate values 
number = {"one", "two", "three", "one", "one"} print(number) 

Output: 
{'one', 'three', 'two'} 

Input: 

fruits={"apple", "banana", "cherry", "watermelon", "banana", "cherry"} 
print(fruits) 
print(len(fruits)) 

Output: 
{'cherry', 'apple', 'watermelon', 'banana'} 
4 

DICTIONARY OPERATIONS

• Dictionary is considered to be an unordered set of a key-value pair of items.
• It is enclosed with the curly braces { ... }.
• It is very easy to add or delete the items,

Input: 

#view the data 
d= {'Tamil':80, 'Enlish':90, 'name1':'joy', 'name2':'mikle'} 
print(d) 

Output:
{'Tamil': 80, 'English':90, 'name1': 'joy','name2': 'mikle'}

Input:

#key and values
d= {'Tamil':80, 'Enlish':90, 'name1':'joy', 'name2':'mikle'}
print(d.keys()) 
print(d.values()) 

Output:
dict_keys (['Tamil', 'English', 'name1', 'name2']) 
dict_values ([80, 90, 'joy', 'mikle']) 

Input:

#add operations
d= {'Tamil':80, 'Enlish':90, 'name1':'joy', 'name2':'mikle'}
d['maths'] = 100 
print(d) 

Output:
{'Tamil': 80, 'English': 90, 'name1': 'joy', 'name2': 'mikle', 'maths': 100} 

#delete operations               
del d['maths']     
print(d) 

Output:
{'Tamil': 80, 'English': 90, 'name1': 'joy', 'name2': 'mikle'} 

I hope you understand about literals briefly. If you have any query please ask me anything. We'll see a more interesting topic in the future.