Python is the most commonly used programming language today. It is integrated with several technologies. MongoDB is a document-based database management system. It only makes sense to connect MongoDB with Python to build a robust database system.
Why Python MongoDB?
Python is most well-known for its extensive library support and native support for standard data manipulation and processing tasks. PyMongo, the official Python MongoDB driver library, is simple to use and offers comprehensive support for MongoDB databases. Python and MongoDB are an excellent combination for creating modern web apps, JSON APIs, data processors, and other applications.
Setting Up the MongoDB Environment
Build Your First Cluster
Navigate to the MongoDB atlas website.
Click on the Start free button and sign up using your Email ID.
Accept the terms of service and click on submit.
You can skip this step and click on continue.
Choose the environment you want to use. It’s advisable to take up the Shared Clusters environment.
Click on Create Cluster>>, it displays all the cluster features being created like the provider and region, tier, and cluster name. Next, click on Create cluster.
Connect to Atlas
Once you create the cluster, a set of things need to be done to connect to the atlas.
- To create the first database user, click on the option to the left.
- Under Security, click on Database Access >> Add New Database User.
- Provide an ID, that is, admin, and a simple password.
- Click on add user.
Add IP Address to Your Access List
Click on Network access under the Security option.
Click on add IP address.
Select “Allow access from anywhere” >> Confirm.
Load Sample Data
Click on the load sample data option to the left.
- Click on Collections >> Add my own data.
- Provide a database and collection name of your choice.
- You have now created your cluster.
Connect to Your Cluster
Once you create your cluster, click on connect.
Click on “Connect your application”.
Select Python under the driver and select a version. The connection string provided is used to connect to the backend.
Now that you have successfully created your cluster on the Mongo cloud, look at the following demo to connect it with Python.
Demo - Connecting MongoDB With Python
Ensure that you have installed the latest version of Python on your machine.
Step1: Create a file of your choice and open the same on Visual Studio Code. This example created a file called pythonmongodemo.py.
Step2: Copy the code below.
import pymongofrom pymongo import MongoClientfrom pymongo import collectioncluster = MongoClient( 'mongodb+srv://admin:admin123@cluster0.fbsul.mongodb.net/myFirstDatabase?retryWrites=true&w=majority')db = cluster["sldb"]collection = db["employee"]post = {"name": "amar", "email": "amar@mail.com"}collection.insert_one(post)- Copy the connection string from the atlas and paste it into the MongoClient. Add the password in the password section.
- Provide the name of the collection and the database. Finally, provide the data to be inserted.
- Run the program and check the cloud.
Here, it will add one data record will. To add multiple records, do the following:
post1 = {"name": "amarj", "email": "amar@mail.com"}post2 = {"name": "amarjeet", "email": "amar12@mail.com"}collection.insert_one([post1, post2])The output will be as follows:
You can perform several actions like update records, delete records, find records, and so on.
This was a simple demonstration of how to connect MongoDB to Python and perform simple operations.
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Next Steps
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