MongoDB is a popular NoSQL database management system known for its flexibility, scalability, and ease of use. Unlike traditional relational databases, MongoDB stores data in flexible, JSON-like documents, making it suitable for a wide range of applications, including web development, mobile apps, and data analytics.
MongoDB Atlas
MongoDB Atlas is a fully managed cloud database service provided by MongoDB, offering a hassle-free way to deploy, manage, and scale MongoDB databases in the cloud. With MongoDB Atlas, you can easily create and configure database clusters, handle backups and restores, and monitor performance, all without the need for complex infrastructure management.
Step 1: Register on MongoDB Atlas
- Visit the MongoDB Atlas website here.
- Click on the “Start Free” button and follow the registration process to create an account.
Step 2: Setting up Users
- After logging in to MongoDB Atlas, navigate to the “Database Access” tab from the left sidebar.
- Click on the “Add New Database User” button to create a new user.
- Enter the username and password for the new user and assign appropriate permissions.
Step 3: Setting up IPs
- In the MongoDB Atlas dashboard, go to the “Network Access” tab from the left sidebar.
- Click on the “Add IP Address” button.
- Add your current IP address to the whitelist to allow connections from your location.
Step 4: Creating Clusters
- Go to the “Clusters” tab from the left sidebar and click on the “Build a New Cluster” button.
- Choose the preferred cloud provider, region, and cluster settings.
- Click on the “Create Cluster” button to provision the cluster.
Step 5: Getting Connection String
- Once the cluster is created, click on the “Connect” button.
- Select “Connect Your Application” and copy the connection string provided. This string will be used to connect to MongoDB Atlas from Google Colab.
Google Colab Setup
Google Colab, short for Google Colaboratory, is a cloud-based platform provided by Google that allows users to write and execute Python code in a browser-based interactive environment. It offers free access to computing resources, including GPU and TPU accelerators, making it ideal for machine learning, data analysis, and collaborative research projects. With Google Colab, users can create and share Jupyter notebooks, collaborate with others in real-time, and leverage pre-installed libraries and tools, all without the need for local installations or setup.
Step 6: Basic Installation
- Open Google Colab in your browser.
- Create a new notebook or open an existing one.
Step 7: Basic Installation
- In the first code cell, install the pymongo library by running
!pip install pymongo. - Import the necessary libraries in the next code cell:
import pymongo
from pymongo import MongoClientStep 8: Connect to MongoDB Atlas:
- Paste the connection string obtained from MongoDB Atlas into your code.
- Replace
<password>with the password for the MongoDB user you created, and<dbname>with the name of the database you want to connect to. - Use the following code snippet:
client = pymongo.MongoClient("mongodb+srv://<username>:<password>@<cluster-address>/<dbname>?retryWrites=true&w=majority")Step 9: Accessing the Database:
- Once connected, you can access your MongoDB database and perform operations like querying, inserting, updating, and deleting data.
db = client.<dbname>
collection = db.<collectionname>
You can access the detailed tutorial here.