Teachers and Examiners (CBSESkillEduction) collaborated to create the Dictionaries in Python Class 11 Notes. All the important Information are taken from the NCERT Textbook Computer Science (083) class 11.
Dictionaries in Python Class 11 Notes
Introduction to Dictionaries
Maps include the data type dictionary. A collection of keys and a set of values are mapped in this situation. Items are keys and values pairs. Consecutive entries are separated by commas, and a colon (:) separates a key from its value. Dictionary entries are unordered, thus we might not receive the data in the same order that we entered it when we first placed it in the dictionary.
Creating a Dictionary
The words entered are contained in curly brackets and are separated by commas to form a dictionary. Each item is a pair of key values that are separated by colons (:). The dictionary’s keys must be distinct and of any immutable data type, such as an integer, text, or tuple. The values may be of any data type and may be repeated.
Example –
>>> dict3 = {‘Mohan’:95,’Ram’:89,’Suhel’:92,’Sangeeta’:85}
>>> dict3
{‘Mohan’: 95, ‘Ram’: 89, ‘Suhel’: 92,’Sangeeta’: 85}
Accessing Items in a Dictionary
We have already seen how an approach known as indexing is used to retrieve the elements of a sequence (string, list, and tuple). The keys in a dictionary are used to access the objects rather than their indices or relative places. Each key corresponds to a value and acts as an index.
Example –
>>> dict3 = {‘Mohan’:95,’Ram’:89,’Suhel’:92, ‘Sangeeta’:85}
>>> dict3[‘Ram’]
89
>>> dict3[‘Sangeeta’]
85
Dictionaries in Python Class 11 Notes
Dictionaries are Mutable
Dictionaries are mutable which implies that the contents of the dictionary can be changed after it has been created.
Adding a new item
We can add a new item to the dictionary as shown in the following example –
Example –
>>> dict1 = {‘Mohan’:95,’Ram’:89,’Suhel’:92,’Sangeeta’:85}
>>> dict1[‘Meena’] = 78
>>> dict1
{‘Mohan’: 95, ‘Ram’: 89, ‘Suhel’: 92,’Sangeeta’: 85, ‘Meena’: 78}
Modifying an Existing Item
The existing dictionary can be modified by just overwriting the key-value pair. Example to modify a given item in the dictionary –
Example –
>>> dict1 = {‘Mohan’:95,’Ram’:89,’Suhel’:92,’Sangeeta’:85}
>>> dict1[‘Suhel’] = 93.5
>>> dict1
{‘Mohan’: 95, ‘Ram’: 89, ‘Suhel’: 93.5,’Sangeeta’: 85}
Dictionary Operations
Membership
The membership operator in checks if the key is present in the dictionary and returns True, else it returns False.
Example –
>>> dict1 = {‘Mohan’:95,’Ram’:89,’Suhel’:92,’Sangeeta’:85}
>>> ‘Suhel’ in dict1
True
The not in operator returns True if the key is not present in the dictionary, else it returns False.
Example –
>>> dict1 = {‘Mohan’:95,’Ram’:89,’Suhel’:92,’Sangeeta’:85}
>>> ‘Suhel’ not in dict1
False
Dictionaries in Python Class 11 Notes
Traversing a Dictionary
We can access each item of the dictionary or traverse a dictionary using for loop.
Example –
>>> dict1 ={‘Mohan’:95,’Ram’:89,’Suhel’:92,’Sangeeta’:85}
>>> for key in dict1:
print(key,’:’,dict1[key])
Output –
Mohan: 95
Ram: 89
Suhel: 92
Sangeeta: 85
Dictionary methods and Built-in functions
Python provides many functions to work on dictionaries.
len()
Returns the length or number of key: value pairs of the dictionary passed as the argument.
Example –
>>> dict1 = {‘Mohan’:95,’Ram’:89,
‘Suhel’:92, ‘Sangeeta’:85}
>>> len(dict1)
4
dict()
Creates a dictionary from a sequence of key-value pairs.
Example –
pair1 = [(‘Mohan’,95),(‘Ram’,89),(‘Suhel’,92),(‘Sangeeta’,85)]
>>> pair1
[(‘Mohan’, 95), (‘Ram’, 89), (‘Suhel’,92), (‘Sangeeta’, 85)]
>>> dict1 = dict(pair1)
>>> dict1
{‘Mohan’: 95, ‘Ram’: 89, ‘Suhel’: 92,’Sangeeta’: 85}
keys()
Returns a list of keys in the dictionary.
Example –
>>> dict1 = {‘Mohan’:95, ‘Ram’:89,’Suhel’:92, ‘Sangeeta’:85}
>>> dict1.keys()
dict_keys([‘Mohan’, ‘Ram’, ‘Suhel’,’Sangeeta’])
values()
Returns a list of values in the dictionary.
Example –
>>> dict1 = {‘Mohan’:95, ‘Ram’:89,’Suhel’:92, ‘Sangeeta’:85}
>>> dict1.values()
dict_values([95, 89, 92, 85])
Dictionaries in Python Class 11 Notes
items()
Returns a list of tuples(key – value) pair
Example –
>>> dict1 = {‘Mohan’:95, ‘Ram’:89,’Suhel’:92, ‘Sangeeta’:85}
>>> dict1.items()
dict_items([( ‘Mohan’, 95), (‘Ram’,89), (‘Suhel’, 92), (‘Sangeeta’, 85)])
get()
Returns the value corresponding to the key passed as the argument.
Example –
>>> dict1 = {‘Mohan’:95, ‘Ram’:89,’Suhel’:92, ‘Sangeeta’:85}
>>> dict1.get(‘Sangeeta’)
85
update()
appends the key-value pair of the dictionary passed as the argument to the key-value pair of the given dictionary.
Example –
>>> dict1 = {‘Mohan’:95, ‘Ram’:89,’Suhel’:92, ‘Sangeeta’:85}
>>> dict2 = {‘Sohan’:79,’Geeta’:89}
>>> dict1.update(dict2)
>>> dict1
{‘Mohan’: 95, ‘Ram’: 89, ‘Suhel’: 92,’Sangeeta’: 85, ‘Sohan’: 79, ‘Geeta’:89}
>>> dict2
{‘Sohan’: 79, ‘Geeta’: 89}
Dictionaries in Python Class 11 Notes
del()
Deletes the item with the given key To delete the dictionary from the memory we write: del Dict_name
Example –
>>> dict1 = {‘Mohan’:95,’Ram’:89,’Suhel’:92, ‘Sangeeta’:85}
>>> del dict1[‘Ram’]
>>> dict1
{‘Mohan’:95,’Suhel’:92, ‘Sangeeta’: 85}
>>> del dict1 [‘Mohan’]
>>> dict1
{‘Suhel’: 92, ‘Sangeeta’: 85}
clear()
Deletes or clear all the items of the dictionary
Example –
>>> dict1 = {‘Mohan’:95,’Ram’:89,’Suhel’:92, ‘Sangeeta’:85}
>>> dict1.clear()
>>> dict1
{ }
Computer Science Class 11 Notes
- Unit 1 : Basic Computer Organisation
- Unit 1 : Encoding Schemes and Number System
- Unit 2 : Introduction to problem solving
- Unit 2 : Getting Started with Python
- Unit 2 : Conditional statement and Iterative statements in Python
- Unit 2 : Function in Python
- Unit 2 : String in Python
- Unit 2 : Lists in Python
- Unit 2 : Tuples in Python
- Unit 2 : Dictionary in Python
- Unit 3 : Society, Law and Ethics
Computer Science Class 11 MCQ
- Unit 1 : Basic Computer Organisation
- Unit 1 : Encoding Schemes and Number System
- Unit 2 : Introduction to problem solving
- Unit 2 : Getting Started with Python
- Unit 2 : Conditional statement and Iterative statements in Python
- Unit 2 : Function in Python
- Unit 2 : String in Python
- Unit 2 : Lists in Python
- Unit 2 : Tuples in Python
- Unit 2 : Dictionary in Python
- Unit 3 : Society, Law and Ethics
Computer Science Class 11 NCERT Solutions
- Unit 1 : Basic Computer Organisation
- Unit 1 : Encoding Schemes and Number System
- Unit 2 : Introduction to problem solving
- Unit 2 : Getting Started with Python
- Unit 2 : Conditional statement and Iterative statements in Python
- Unit 2 : Function in Python
- Unit 2 : String in Python
- Unit 2 : Lists in Python
- Unit 2 : Tuples and Dictionary in Python
- Unit 3 : Society, Law and Ethics