module built on needy sklearn preprocessing functions
Project description
mongoops - eleka12
This package built on top of pymongo to make ease of using MongoDB atlas operations.
How to use mongoops
- install the latest package
- in jupyter notebook -
!pip install mongoops
- in command prompt -
pip install mongoops
- Now run below snippets of code in your jupyter-notebooks / python project to use pytorch defined functions
Importing mongoops
from mongoops.ops import MongoDBOperation
Use your MongoDB atlas Database username / Password and atlas URL
USERNAME = " "
PASSWORD = " "
URL = f"mongodb+srv://{USERNAME}:{PASSWORD}@cluster0.ornbe.mongodb.net/test"
Creating a mongo client
mongo=MongoDBOperation(atlas_url=URL)
client=mongo.get_database_client_object()
Creating a database using mongoDB client
DB=mongo.create_database(client,"DB_name")
COLLECTION=mongo.create_collection_in_database(DB,"collection_name")
mongo.create_record(COLLECTION,{"val":"mongoops"})
Checking for DB presence
mongo.is_database_present(client,"DB_name")
Checking for collection inside DataBase
mongo.is_collection_present("collection_name",DB)
pypi repo link -
Github repo link -
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