Introduction to MongoDB in Python

MongoDB is a popular NoSQL document database that allows developers to store and manage structured and unstructured data. It is widely used for its flexibility, scalability, and performance. In this article, we will explore how to use MongoDB with Python to store and query data.

Installing MongoDB in Python

To work with MongoDB in Python, you first need to install a Python driver for MongoDB called pymongo. You can install it using the following pip command:

  pip install pymongo

Connecting to MongoDB

Once you have pymongo installed, you can connect to your MongoDB database using the following Python code:

  
import pymongo

# Connect to the MongoDB server
client = pymongo.MongoClient('mongodb://localhost:27017/')

# Access a specific database
db = client['mydatabase']

# Access a specific collection
collection = db['mycollection']
  

Inserting Data into MongoDB

You can insert data into your MongoDB collection using the insert_one() or insert_many() methods. For example:

  
# Insert a single document
data = {'name': 'John', 'age': 25}
collection.insert_one(data)

# Insert multiple documents
data_list = [
    {'name': 'Alice', 'age': 30},
    {'name': 'Bob', 'age': 28}
]
collection.insert_many(data_list)
  

Querying Data from MongoDB

You can query data from your MongoDB collection using the find() method. For example:

  
# Find all documents
result = collection.find()

# Find documents that match a specific condition
query = {'age': {'$gt': 25}}
result = collection.find(query)
  

Conclusion

Using MongoDB in Python allows developers to work with a powerful and flexible document database. By installing the pymongo driver and following the basic usage examples provided in this article, you can start building applications that leverage the capabilities of MongoDB to store and query data efficiently.