Final thoughts
Introduction to MongoDB in Python
Filip Schouwenaars
Machine Learning Researcher
Chapter 1 recap
- Relational databases vs. MongoDB
- Connected to MongoDB locally
- Queried databases and collections
- Retrieved documents using
.find()and.find_one() - Simple filters, e.g.,
{ "title": "Inception" }
Chapter 2 recap
- Filter documents using
$exists,$in,$or,$and - Control output with
limit(),sort(), and projection - Count matching documents with
.count_documents()
Chapter 3 recap
- Insert new documents:
.insert_one()and.insert_many() - Update documents:
.update_one()and.update_many() - Replace documents:
replace_one() - Delete documents:
delete_one(),delete_many()
Chapter 4 recap
- Combine Python typing with
pydantic - MongoDB's built-in schema validation
- Manage documents with confidence
- Combine operations with
.bulk_write()for efficiency
Where to go next
- Launch your own database with MongoDB Atlas
- Deploy, scale and secure without managing servers yourself
- Build real-world applications using PyMongo and Atlas
- Continue leveling up with MongoDB:
- MongoDB Skill Badges: https://learn.mongodb.com/skills)
- MongoDB Certification: https://learn.mongodb.com/pages/certification-program)
- Official PyMongo docs: https://pymongo.readthedocs.io/
- MongoDB University: https://learn.mongodb.com/
Congratulations!
Introduction to MongoDB in Python
