MongoDB Drivers for Python
Python is the most popular language for the data-intensive tasks and data science. It is because there are many libraries which prove to be helpful in these tasks. Whether you are building web applications, analysing data, Mongodb is great fit for the python developers. This is because Python stores data in dictionary format, which is somewhat similar to the JSON like format in which MongoDB stores and manages the data. Python has capability of parsing the JSON data using built in methods in a single step.
Key features
- Pymongo Library: The official MongoDB driver for the python is known as Pymongo.
- Dictionary like Syntax: The driver supports a syntax that resembles Python dictionaries which makes it intuitive for the python developers.
Code Example
Python
# Import the MongoClient class from the 'pymongo' package from pymongo import MongoClient # MongoDB connection string. Replace "<connection_string>" with your actual connection string. client = MongoClient( "<connection_string>" ) # Access the 'test_database' database from the MongoDB server db = client.test_database # Access the 'test_collection' collection within the 'test_database' database collection = db.test_collection # Find one document in the collection where the "key" field has the value "value" result = collection.find_one({ "key" : "value" }) # Print the result to the console print (result) |
Output if matching data is found:
{'_id': ObjectId('5f8a74b7c35e43ca756466f4'), 'key': 'value', 'other_field': 'some_value'}
Else output is:
NULL
MongoDB Drivers For Different Languages
MongoDB is a NoSQL database that is widely used for storing and managing both complex and larger data. For good integration between applications and the MongoDB database, it provides drivers that allow the developer to interact with the database using the programming language of their choice. In this article, we will see different drivers of MongoDB which are popularly used.
Programming Languages supported by MongoDB are C, C++, C#, Go, Java, Kotlin, Node.js, PHP, Python, Ruby, Rust, Scala, and Swift. We will understand each one of them more easily along with their code implementation