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mongodbsearch is a lightweight and easy to implement full-text indexing and search library for Python and Mongo. If the number of documents will limited to a reasonable number (e.g. < 100k), this library should work really well for you.
22 sty 2018 · Using pymongo you can do this to search: collection.find({"$text": {"$search": your search}}) your function should look like this: def search_for_videos(search_text): collection.find({"$text": {"$search": search_text}}).limit(10) I hope this helps you.
16 sie 2011 · The PyMongo distribution contains tools for interacting with MongoDB database from Python. The bson package is an implementation of the BSON format for Python. The pymongo package is a native Python driver for MongoDB. The gridfs package is a gridfs implementation on top of pymongo.
Whoosh is a fast, featureful full-text indexing and searching library implemented in pure Python. Programmers can use it to easily add search functionality to their applications and websites. Every part of how Whoosh works can be extended or replaced to meet your needs exactly.
3 kwi 2016 · Whoosh is a fast, featureful full-text indexing and searching library implemented in pure Python. Programmers can use it to easily add search functionality to their applications and websites. Every part of how Whoosh works can be extended or replaced to meet your needs exactly.
PyMongo is a Python distribution containing tools for working with MongoDB, and is the recommended way to work with MongoDB from Python. This documentation attempts to explain everything you need to know to use PyMongo. Installing / Upgrading. Instructions on how to get the distribution.
If you want to learn how to connect and use MongoDB from your Python application, you've come to the right place. In this PyMongo tutorial, we'll build a simple CRUD (Create, Read, Update, Delete) application using FastAPI and MongoDB Atlas.
