New Text Document (2).txt

import pymongo
client= pymongo.MongoClient("mongodb://localhost:27017/neurolabDB")
database_=client['ProductsDB']
collections_ = database_['Products']
document={
    "productname":"CAR Brezza",
    "productprice":"2 lakhs"
}
collections_.insert_one(document)
rec = collections_.find_one()
print(rec)
client.list_database_names()
database_.list_collection_names()
document_2={
    "name":"Preeti",
    "Salary":"78000",
    "Job_Dept":"HR",
    "keyarea":"Recruiting"
}
col=collections_.insert_one(document_2)
collections_.find_one()
data=collections_.find()
for i in data:
    print(i)
col.inserted_id
list_of_documents=[
    {
        "name":"Naman"
    },
    {
        "name":"Preeti"
    }
]
col_many=collections_.insert_many(list_of_documents)
col_many.inserted_ids
data=collections_.find()
data[0]
data[3]
for i in data[0:5]:
    print(i)
data=collections_.find().limit(2)
for i in data:
    print(i)
data=collections_.find()