Talk Python: MongoDB for Developers is part of the exciting Talk Python course series from podcaster and software trainer Michael Kennedy. In this interactive, hands-on, visually-oriented guide, you’ll learn how to build simple and extremely high-performance Python applications using MongoDB. Containing end-to-end coverage of MongoDB, you’ll go beyond the basics of document databases and dive into techniques and performance methods that will make your apps run hundreds of times faster than you get with out-of-the-box MongoDB.
Distributed by Manning Publications
This course was created independently by Python expert Michael Kennedy and is distributed by Manning through our exclusive liveVideo platform.
About the subject
Because it allows you to model data as complete documents without first defining a rigid schema and subdividing content into its constituent parts, MongoDB is one of the most exciting data technologies you can use today. This cross-platform database can be used to build extremely high-performance apps with the joy of a schemaless lifestyle. Fast, flexible, and scalable, it’s a great choice for Python developers.About the video
Talk Python: MongoDB for Developers teaches you how to use MongoDB and document databases to build simpler and faster data-driven applications. You’ll start with the origin and major concepts of NoSQL and document databases, then learn how to work with MongoDB from its native shell as well as from Python using PyMongo. You'll see how to use mongoengine to map classes to MongoDB, bringing features not typically available in MongoDB. After you master working with MongoDB from Python, you’ll tackle performance. You’ll take a large database with millions of data points and make it run hundreds of times faster than you get out-of-the-box with MongoDB! You’ll then wrap up by deploying MongoDB to production Linux servers. In the end, you'll be ready to start building and running high performance, MongoDB-backed, data-driven applications.
Table of Contents detailed table of contents
Welcome to the course
Welcome!
MongoDB is loved
Course topics
Tools that you will learn
Meet your instructor
What is NoSQL?
NoSQL history
Origins of NoSQL
Types of NoSQL databases
Working with document DBs and queries styles
Introducing MongoDB
Who uses MongoDB
Setting up your computer to follow along
MongoDB and the tools we will use
Setting up MongoDB as a Windows service
Concept: MongoDB as a Windows service
Setting up MongoDB on macOS
Concept: Setting up MongoDB on macOS
Setting up MongoDB on Linux
Concept: Setting up MongoDB on Linux
MongoDB’s shell and native query syntax
MongoDB’s query syntax
Connecting to MongoDB with the shell
Concept: Connecting to MongoDB with the shell
Basic querying
Concept: Basic querying
Robomongo: A better shell
Advanced queries
Concept: Advanced queries
Projections
Exact subdocument matches
Sorting MongoDB results
Concept: Sorting MongoDB results
Inserting documents in MongoDB
Updating documents in MongoDB
Deleting documents form MongoDB
Atomic, in-place updates
Concept: Atomic, in-place updates
Working with MongoDB directly from Python: PyMongo
Introduction to PyMongo
Connecting with PyMongo
Concepts: Getting starting with PyMongo
Concept: Connection strings
Atomic updates
Concept: Atomic updates
Mapping MongoDB’s JavaScript API to PyMongo
Modeling and document design
Introduction to document design
To embed or not to embed
Do you have an integration database?
A real world example
More document patterns
Mapping classes to MongoDB with the ODM MongoEngine
Introducing ODMs
Welcome to mongoengine
The dealership demo
Introducing the application skeleton
Registering connections in mongoengine
Basic classes in mongoengine
Required and default values in mongoengine classes
Adding the engine to the car document
Adding service histories to the car document
Listing cars
Adding service histories by whole document
Adding service histories with in-place updates
Subdocument queries
A parting glitch
Concept: Registering connections
Concept: Creating classes
Concept: Inserting objects with mongoengine
Concept: Querying with mongoengine
Concept: Updates in mongoengine
High-performance MongoDB
Introducing performance-tuning in MongoDB
The MongoDBs performance knobs
A popular dealership
Creating the big DB
Surveying the new code
Running the default configuration
Adding indexes in mongoenegine
Concept: Indexes via the shell
Concept: Indexes via mongoengine
Concept: Document design for performance
Concept: Projections
Deploying MongoDB in production (and playing it safe)
Warning: Action required
The MongoDB deployment checklist
Creating a couple of cloud servers
Installing MongoDB for production use
Concept: Installing MongoDB for production
Limit you network exposure
Limit you network exposure in action
Concept: Limit network exposure
Adding encrypted communication for MongoDB
Concept: Adding encrypted communication for MongoDB
Adding authentication to MongoDB
Concept: Adding authentication to MongoDB
The BIG moment
Connecting to MongoDB via Python
Concept: Connecting to MongoDB via Python
MongoDB admin tools
Concept: MongoDB admin tools
Course conclusion
You’ve done it!
Lightning review
Lightning review: Shell query syntax
Lightning review: pymongo
Lightning review: Document design
Lightning review: mongoengine
Lightning review: Performance tuning MongoDB
Lightning review: Deployments
Thanks and goodbye
What you will learn
- How to install and configure MongoDB on your operating system
- MongoDB's native query syntax
- Searching subdocuments and other advanced queries
- How to use MongoDB's atomic, transactional operators
- Using PyMongo to connect to MongoDB from Python
- Mapping classes from Python to MongoDB with mongoengine
- Document design and data modeling techniques
- Tuning MongoDB for high performance
- To deploy MongoDB into production with SSL, authentication, auto-updates and more
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