A Python dictionary is a collection data type that stores data in key-value pairs, making it unordered and mutable. Unlike lists, dictionaries are accessed by keys instead of indices and do not allow duplicate keys, making them ideal for unique values. The document also provides examples of how to implement and manipulate dictionaries in Python, along with a use case involving storing and displaying player stats for the Indian World Cup squad in 2019.

2. What Is Dictionary In Python?
Why Use A Python Dictionary?
Dictionary vs Lists
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How To Implement Python Dictionary?
Operations In Python Dictionary
Use Case

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A dictionary is a collection data type which has key value pairs.
UNORDERED
MUTABLE
INDEXED
NO DUPLICATE MEMBERS

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6. Why Use A
Python
Dictionary?
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Unordered and stores values like a map
Contains key value pairs unlike other
data types
Similar to real life dictionary with
distinct key values

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8. Dictionary
Vs
Lists
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Dictionary List
Unordered Ordered
Accesses via keys Accessed via index
Collection of key value pairs Collection of elements
Preferred when you have
unique key values
Preferred for ordered data
No duplicate members Allows duplicate members

9. How To Implement Dictionary In Python?
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10. How To
Implement
Dictionary In
Python?
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Dictionary in python is declared inside curly brackets.
mydictionary = { ‘key’ : ‘value’,
‘key2’: ‘value2’,
‘key3’: ‘value3’
}
mydictionary[‘key’]
mydictionary.get(‘key’)

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12. Operations
In Python
Dictionary
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#adding an element
mydictionary[‘key4’] = ‘value4’
#replacing an element
mydictionary[‘key1’] = ‘edureka’
• clear()
• copy()
• values()
• update()
• fromkeys()
• get()
• items()
• keys()
• pop()
• popitem()
• setdefault()

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14. Use Case
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Problem Statement : Store the Indian World cup squad data
for 2019.You should be able to display the stats of any player
from the data.
Store the data in the dictionary
Implement a dictionary
Import pandas package
Make unique keys
Use data frame to display stats

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