PymonGo tutorial: Python's complete guide to use MongoDB

PymonGo tutorial: Python uses a complete guide to mongoDB In this tutorial, we will learn how to use the Pymonago library in Python to interact with the MongoDB database.MongoDB is a popular NOSQL database that is known for its flexible data models and high performance.PymonGo is the official Python driver provided by Mongodb. It provides many functions and tools that enable us to easily operate MongoDB in Python. We need to configure some configurations before starting the code.First, make sure that Python and MongoDB have been installed and correctly configure them in the system path.Then, we need to install the Pymonogo library in Python.You can use the PIP command to install it: pip install pymongo After the installation is completed, we can start using PymonGo to interact with mongodb. We first need to import the pymongo library: python import pymongo Next, we need to connect to the MongoDB database.We can use the `pymonGo.Mongoclient` class to connect.By default, this class will be connected to the MongoDB instance on the local host.If you need to connect to the remote MongoDB server, you can provide the IP address and port number of the server as a parameter. python # To the local mongodb example client = pymongo.MongoClient() # To the remote MongoDB server # Client = pymonogo.monogoclient ('MongoDB: // <IP address>: < -port number>/') After the connection is successful, we can access the MongoDB database by accessing the `Client` object.We can use the following ways to select the database: python # Select the database named TEST db = client.test Next, we can access the collection by accessing the `db` object (can also be called table).The collection is a data storage unit in MongoDB, similar to tables in the relationship database.We can use the following ways to select the collection: python # Selected a collection named users collection = db.users Now, we can start operating the database and collection.Here are some commonly used operation examples: 1. Insert document: python # Insert a single document document = {"name": "Alice", "age": 25} collection.insert_one(document) # Insert multiple documents documents = [{"name": "Bob", "age": 30}, {"name": "Charlie", "age": 35}] collection.insert_many(documents) 2. Query document: python # Query all documents results = collection.find() for result in results: print(result) # 查 according to the condition results = collection.find({"age": {"$gt": 30}}) for result in results: print(result) 3. Update document: python # Update a single document collection.update_one({"name": "Alice"}, {"$set": {"age": 26}}) # Update multiple documents collection.update_many({"age": {"$gt": 30}}, {"$set": {"age": 31}}) 4. Delete document: python # Delete a single document collection.delete_one({"name": "Alice"}) # Delete multiple documents collection.delete_many({"age": {"$gt": 30}}) This is just a small part of MongoDB and PymonGo library.You can further explore official documents to learn more information and functions. In this tutorial, we learned how to use Pymonogo to interact with MongoDB in Python.We understand the connection to the MongoDB database, select the database and set, and perform common insertion, query, update and delete operations.I hope this tutorial can help you start using MongoDB in Python!