MongoDB is one of the most exciting data technologies. You can build extremely high performance apps with the joy of a schemaless lifestyle. Python is the perfect counterpart to MongoDB. In this course, we feature the latest Python frameworks and techniques for working with MongoDB: The Beanie ODM (object-document mapper), Pydantic, FastAPI, Locust load testing, and Python's async and await capabilities.

In this course, you will:

• How document databases, such as MongoDB, work
• Where MongoDB fits in the larger scope of databases used in the world
• How to install and configure MongoDB and several management tools and GUIs
• A basic set of MongoDB's native shell commands and queries
• Foundational technologies such as Pydantic and Python's async and await
• How to design data models with Beanie and Pydantic
• Understand the tradeoffs when modeling data with documents
• Learn when it's a good idea (and when it's a bad one) to embed data within other records
• Use ORM-style programming with MongoDB and Beanie
• Use more efficient "in-place" operations such as addToSet with Beanie
• Design projection classes in Pydantic for improved performance
• How to safely store user accounts (namely passwords) in MongoDB
• To deeply integrate Beanie and MongoDB with FastAPI
• Create complex indexes in MongoDB from Beanie for 1000x performance boosts
• Use indexes to enforce data integrity in MongoDB
• Safely deploy MongoDB in a self-hosted environment within a cloud provider on multiple Linux machines
• Use the load testing framework Locust to probe and test the performance limits of your MongoDB-based web APIs
• And lots more
• View the full course outline.

For anyone who wants to use the latest Python technologies to work with MongoDB.

As for prerequisites, we assume:

• Basic familiarity with the Python programming language and core tools (e.g. pip)
• That you have very minimal understanding and experience with some database technology (relational or NoSQL)

The tools chosen and featured during this course are 100% free and most of them are open source or have free and solid alternatives.

Visit the course page to get started on this 7hr video course.