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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 -

mongoops - PYPI

Github repo link -

mongoops - Github

Project details


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