As more and more data become available as unstructured or semi-structured, the necessity of managing them through NoSql database increases. Python also can interact with NoSQL databases during a similar way as is interacts with Relational databases. during this blog we’ll use python to interact with MongoDB as a NoSQL database.

In order to attach to MongoDB, python uses a library referred to as pymongo. you’ll add this library to your python environment, using the below command from the Anaconda environment.

conda install pymongo

This library enables python to attach to MOngoDB employing a db client. Once connected we select the db name to be used for various operations.

Inserting Data

To insert data into MongoDB we use the insert() method which is out there within the database environment. First we hook up with the db using python code shown below then we offer the document details in sort of a series of key-value pairs.

# Import the python libraries
from pymongo import MongoClient
from pprint import pprint
# Choose the acceptable client
client = MongoClient()
# hook up with the test db
db=client.test
# Use the worker collection
employee = db.employee
employee_details = {
 'Name': 'Raj Kumar',
 'Address': 'Sears Streer, NZ',
 'Age': '42'
}
# Use the insert method
result = employee.insert_one(employee_details)
# Query for the inserted document.
Queryresult = employee.find_one({'Age': '42'})
pprint(Queryresult)
When we execute the above code, it produces the subsequent result.
{u'Address': u'Sears Streer, NZ',
 u'Age': u'42',
 u'Name': u'Raj Kumar',
 u'_id': ObjectId('5adc5a9f84e7cd3940399f93')}

Updating Data

Updating an existing MongoDB data is analogous to inserting. We use the update() method which is native to mongoDB. within the below code we are replacing the prevailing record with new key-value pairs. Please note how we are using the condition criteria to make a decision which record to update.

# Import the python libraries
from pymongo import MongoClient
from pprint import pprint
# Choose the acceptable client
client = MongoClient()
# hook up with db
db=client.test
employee = db.employee
# Use the condition to settle on the record
# and use the update method
db.employee.update_one(
 {"Age":'42'},
 {
 "$set": {
 "Name":"Srinidhi",
 "Age":'35',
 "Address":"New Omsk, WC"
 }
 }
 )

Queryresult = employee.find_one({'Age':'35'})
pprint(Queryresult)

When we execute the above code, it produces the subsequent result.

{u'Address': u'New Omsk, WC',
 u'Age': u'35',
 u'Name': u'Srinidhi',
 u'_id': ObjectId('5adc5a9f84e7cd3940399f93')}

Deleting Data

Deleting a record is additionally simple where we use the delete method. Here also we mention the condition which is employed to settle on the record to be deleted.

# Import the python libraries
from pymongo import MongoClient
from pprint import pprint
# Choose the acceptable client
client = MongoClient()
# hook up with db
db=client.test
employee = db.employee
# Use the condition to settle on the record
# and use the delete method
db.employee.delete_one({"Age":'35'})
Queryresult = employee.find_one({'Age':'35'})
pprint(Queryresult)

When we execute the above code, it produces the subsequent result.

None

So we see the actual record doesn’t exist within the db any longer .

So, this brings us to the end of blog. This Tecklearn ‘How to interact with MongoDB in Python’ blog helps you with commonly asked questions if you are looking out for a job in Python Programming. If you wish to learn Python and build a career in Data Science domain, then check out our interactive, Python with Data Science Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

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