The document explains hash tables and hashmaps in Python, detailing how to create dictionaries using curly braces or the dict() function, and introduces nested dictionaries. It outlines operations on hash tables, including accessing, updating, and deleting entries. Additionally, it discusses converting dictionaries into pandas dataframes.

2. • What is a Hash Table or a Hashmap in Python?
• Creating Dictionaries
• Nested Dictionaries
❖Accessing Items
❖Updating Values
• Performing Operation oh Hash Tables
❖Deleting Entries
• Converting Dictionary into a Dataframe
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3. What is a Hash Table or Hashmap in
Python?
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4. What is a Hash Table or Hashmap in
Python?
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Index Value
0 Value1
1 Value2
2 Value3
Key1
Key2
Key3
Hash
Function
Hash table or a Hashmap is a type of data structure that maps keys to its value pairs

5. Creating Dictionaries
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Creating Dictionaries
Using curly Braces
Dictionary in Python is represented using curly
braces. Therefore, to create a dictionary, you can
make use of the curly braces.
Using dict()
Python provides dict() function that can be
used to create dictionaries by passing the
key-value pairs as parameters to it.

7. Nested Dictionaries
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Nested Dictionaries
Nested dictionaries are basically dictionaries that lie within
other dictionaries
Index Value
0
1 Value2
2 Value3
Key1
Key2
Key3
Hash
Function
0.1 Value1.1
0.2 Value1.2

9. Performing Operations on Hash Tables
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• Accessing Items
• Updating Values
• Deleting Entries

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Performing Operations on Hash Tables
Accessing Items
Index Value
0
1
2
Key1
Key2
Key3
Hash
Function
Value1
Value3
Value2
Values

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Performing Operations on Hash Tables
Updating Values
Dictionaries are mutable data types and you can update them as and when
required.
Index Value
0
1 Value2
2 Value3
Key1
Key2
Key3
Hash
Function
Value1

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Performing Operations on Hash Tables
Deleting Entries
Index Value
0 Value1
1 Value2
2 Value3
Key1
Key2
Key3
Hash
Function
Index Value
0 Value1
1 Value2

14. Converting Dictionary into a
Dataframe
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DataFrame is a 2-D (2-dimensional) data
structure that consists of columns of various
types. It is very similar to a Python dictionary
and you can even convert a dictionary into a
pandas dataframe.
Converting
Dictionary into a
Dataframe

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