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Welcome to our session on using MongoDB with Python! In this session, we'll explore how to integrate MongoDB, a powerful NoSQL database, with Python to build efficient and scalable applications.

📚 In this session we cover:

Introduction to MongoDB:

Overview of MongoDB and its NoSQL database model.
Key features and benefits of using MongoDB.
Use cases and real-world applications.
Setting Up MongoDB:

How to install MongoDB on different platforms (Windows, macOS, Linux).
Setting up the MongoDB server and creating your first database.
Introduction to PyMongo:

Overview of PyMongo, the official MongoDB driver for Python.
Installing PyMongo and setting up the development environment.
Connecting to MongoDB with Python:

Establishing a connection to the MongoDB server using PyMongo.
Basic operations: creating, reading, updating, and deleting documents.
CRUD Operations in MongoDB:

Creating documents and inserting them into collections.
Reading and querying documents using various filters and projections.
Updating documents and handling multiple update scenarios.
Deleting documents and managing data integrity.
Working with Collections and Databases:

Creating and managing collections.
Switching between different databases.
Indexing for performance optimization.
Advanced Querying and Aggregation:

Using MongoDB's powerful querying capabilities.
Aggregation framework for advanced data analysis.
Practical examples of complex queries and aggregations.
Handling Relationships in MongoDB:

Managing one-to-one, one-to-many, and many-to-many relationships.
Embedded documents vs. references: best practices.
Performance Tips and Best Practices:

Optimizing MongoDB performance.
Tips for efficient schema design and data modeling.
Indexing strategies and query optimization.
Integrating MongoDB with Python Applications:

Building a simple Python application with MongoDB.
Using Flask/Django with MongoDB for web development.
Real-world examples and case studies.


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