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Hash Tables and Hash Maps in Python
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Hash Tables and Hash Maps in Python

Published On: April 9, 2026

Introduction to Hash Tables and Hash Maps

There are numerous ways for storing and accessing data, and one of the most popular methods is Hash Tables. Python has an in-built data type, like a dictionary, to implement hash tables. Here we are explaining how to implement hash tables and hash maps in Python using dictionaries. Explore our Python course syllabus to learn from the basics.

Hash table and Hash map in Python

Hash tables and hash maps are data structures used to map keys to their value pairs. It is used in functions for computing an index value that contains the elements to be inserted, removed, or searched. Hash tables are used to access data easily and quickly. They store key-value pairs, and the key will be generated using a hash function.

The built-in dictionary data type is used to implement a hash table or hash map, and the keys are created using a hash function. Dictionary data type contains the elements that can be ordered and changed. Consider the following example that explains how a dictionary can map employee names to their employee IDs. 

Difference between Hash Table and Hash Map

FactorHash TableHash Map
TypeSynchronizedNon-Synchronized
SpeedFastSlow
Null valueAllow one null key and two or more null valuesDoesn’t allow any null keys or null values.

Learn everything from scratch with our Python tutorial for beginners.

Creating Dictionaries in Python

In Python, there are two ways to create a dictionary, as follows

  • Using curly braces – {}
  • Using the dict() function

Curly Braces for Creating a Dictionary

The following is an example that explains how curly braces are used to create dictionaries in Python:

my_dict = {‘Grace’ : ‘001’, ‘Merlyn’ : ‘002’, ‘Jerry’: ‘003’}

print (my_dict)

type (my_dict)

Output

{‘Grace’ : ‘001’, ‘Merlyn’ : ‘002’, ‘Jerry’: ‘003’}

dict

The Dict() Function for Creating a Dictionary

The following is an example that explains how the dict() in-built function is used for creating dictionaries in Python

new_dict = dict()

print (new_dict)

type (new_dict)

Output 

{} dict

Here, an empty dictionary is created as no key-value pairs are given as a parameter to the dict() function. Follow the method below to add values to the dictionary

new_dict = dict{‘Grace’ : ‘001’, ‘Merlyn’ : ‘002’, ‘Jerry’: ‘003’}

print (new_dict)

type (new_dict)

Output

{‘Grace’ : ‘001’, ‘Merlyn’ : ‘002’, ‘Jerry’: ‘003’}

dict

Nested Dictionaries

If the dictionaries that are placed within other dictionaries are known as Nested Dictionaries

Example

emp_details = {‘Employee’: {‘Grace’: { ‘ID’: ‘001’, ‘Salary’: 5000, ‘Position’: ‘Tech Lead’},

‘Merlyn’: {‘ID’ ‘002’, ‘Salary’: 8000, ‘Position’: ‘Project Manager’},

‘Jerry’: {‘ID’: ‘003’, ‘Salary’: 10000, ‘Position’: ‘General Manager’}}}

Learn with hands-on exposure through our Python project ideas.

Operations with Hash Tables using Dictionaries

The following are the various operations that can be performed on hash tables in Python using dictionaries.

  • Accessing Values
  • Updating Values
  • Deleting Element

Accessing Values

There are many ways to access the values of a dictionary, and some of them are as follows

  • Using key values
  • Using functions
  • Implementing the for loop

Key Values for accessing dictionary values

Key values implementation is used to access dictionary values.

Example

my_dict = {‘Grace’ : ‘001’, ‘Merlyn’ : ‘002’, ‘Jerry’: ‘003’}

my_dict[‘Grace’]

Output

‘001’

Functions for accessing dictionary values

Python has many built-in functions to be used for accessing dictionary values, and some of them are get(), keys(), values(), and so on.

Example

my_dict = {‘Grace’ : ‘001’, ‘Merlyn’ : ‘002’, ‘Jerry’: ‘003’}

print(my_dict.keys())

print(my_dict.values())

print(my_dict.get(‘Grace’))

Output

dict_keys([‘Grace’, ‘Merlyn’, ‘Jerry’])

dict_keys([‘001’,’002’,’003’])

001

“For loop” for accessing the dictionary values

The for loop in Python can be used to access the key-value pairs of dictionaries easily by iterating over them.

Example

my_dict = {‘Grace’ : ‘001’, ‘Merlyn’ : ‘002’, ‘Jerry’: ‘003’}

print(“All keys”)

for x in my_dict:

print(x)

print(“All values”)

for x in my_dict.values():

print(x)

print(“All keys and values”

for x, y in my_dict.items()

print (x, “:”, y)

Output

All keys

Grace

Merlyn

Jerry

All values

001

002

003

All keys and values

Grace: 001

Merlyn: 002

Jerry: 003

Ace your interview by practicing with our Python interview questions and answers.

Updating values in Dictionaries

We can modify the dictionary as per the requirement, as it is a mutable data type. If we want to update the ID of the employee named Grace from ‘001’ to ‘007’ or if we want to add the employee, they are possible in Python.

Example

my_dict = {‘Grace’ : ‘001’, ‘Merlyn’ : ‘002’, ‘Jerry’: ‘003’}

my_dict[‘Grace] = ‘007’ #updating the value of Grace

my_dict[‘Freddy’] = ‘004’ #adding the new key-value pair

print(my_dict)

Output

{‘Grace’: ‘007’, ‘Merlyn’ : ‘002’, ‘Jerry’: ‘003’, ‘Freddy’: ‘004’}

Deleting key-pair values from a dictionary

Python has some popular functions used to remove items from a dictionary, and they are del(), pop(), popitem(), clear(), and so on.

Example

my_dict = {‘Grace’ : ‘007’, ‘Merlyn’ : ‘002’, ‘Jerry’: ‘003’, ‘Freddy’: ‘004’}

del my_dict[‘Grace’] #removes key-value of Grace

my_dict.pop(‘Merlyn’) #removes the value of Merlyn

my_dict.popitem() #removes the last added item

print(my_dict)

Output

{‘Jerry’: ‘003’}

Converting a Dictionary into a Dataframe

It is possible to convert the dictionary items into a dataframe in the Python programming language using the pandas library. Check out the following example that explains how to convert them into a dataframe.

Example

import pandas as pan

emp_details = {‘Employee’: {‘Grace’: { ‘ID’: ‘001’, ‘Salary’: 5000, ‘Position’: ‘Tech Lead’},

‘Merlyn’: {‘ID’ ‘002’, ‘Salary’: 8000, ‘Position’: ‘Project Manager’},

‘Jerry’: {‘ID’: ‘003’, ‘Salary’: 10000, ‘Position’: ‘General Manager’}}}

df=pd.DataFrame(emp_details[‘Employee’])

print(df)

Output

GraceMerlynJerry
DesignationTech LeadProject ManagerGeneral Manager
ID001002003
Salary5000800010000

Conclusion

We hope this blog helps you understand Hash Tables and Hash Maps in Python. Learn the best Python Course at SLA to obtain complete hands-on exposure to Python concepts. Become a master in application development, data science process, or script writing by enrolling in our software training institute in Chennai.

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