Pymongo Introduction

     

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A Repository created to describe the usage of pymongo a Python-MongoDB driver to connect, insert, select, update and delete Documents with MongoDB database.

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Installation

Install pymongo using pip

  pip install pymongo

Or visit Here For Manual Download

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Requirements

• Python 3.11
• MongoDB 4.0.4 - Database Server
• (Optional)MongoDB Compass 1.16.3 - To view database

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Imports

Import the package

  import pymongo

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Making a Connection with MongoClient

The first step when working with PyMongo is to create a MongoClient to the running mongod instance. Doing so is easy:

from pymongo import MongoClient
client = MongoClient()

The above code will connect on the default host and port. We can also specify the host and port explicitly, as follows:

client = MongoClient('localhost', 27017)

Or use the MongoDB URI format:

client = MongoClient('mongodb://localhost:27017/')

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Getting a Database

A single instance of MongoDB can support multiple independent databases. When working with PyMongo you access databases using attribute style access on MongoClient instances:

db = client.test_database

If your database name is such that using attribute style access won’t work (like test-database), you can use dictionary style access instead:

db = client['test-database']

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Getting a Collection

A collection is a group of documents stored in MongoDB, and can be thought of as roughly the equivalent of a table in a relational database. Getting a collection in PyMongo works the same as getting a database:

collection = db.test_collection

or (using dictionary style access):

collection = db['test-collection']

An important note about collections (and databases) in MongoDB is that they are created lazily - none of the above commands have actually performed any operations on the MongoDB server. Collections and databases are created when the first document is inserted into them.

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Getting started MongoDB Atlas

MongoDB Atlas is a fully-managed cloud database that handles all the complexity of deploying, managing, and healing your deployments on the cloud service provider of your choice (AWS , Azure, and GCP). MongoDB Atlas is the best way to deploy, run, and scale MongoDB in the cloud.

Access the file here to get started with MongoDB atlas Here

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Query Code

• Connect with Local
• Connect with Atlas
• Insert
• Select
• Update
• Delete
• DropCollection
• Modifiers
• Sort
• Limit
• MetaData

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Database

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License

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Feedback

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