This is The Basic Usage Of MongoDB With Python

MongoDB_Atlas_With_Python.py

# Importing Python MongoDB Connector
# Can Be Installed By -> "pip install pymongo"
import pymongo

# For Working With Date And Time
import datetime

# This Is The Connector With The URL From MongoDB Atlas
client = pymongo.MongoClient('...') # Enter Your URL From MongoDB Atlas 

# Creating Collection Object
db = client["User_Details"]

# Creating The DB Object
records = db["users"]

# -- Reading Data


# This Will Print All The Data As Dictionary
for i in list(records.find()):
  print(i)
  
# This Will Search For The Data And Send The Dictionary Of It
# out[0]: {'_id': ObjectId('5f84030991186a218bf3b62d'), 'name': 'Belgin'}

print(records.find_one({'name':"Belgin"}))
  
  
# --- Inserting Data 


# Sample Data To Insert
personDocument = {
    "name":"Belgin Android",
    "age":17,
    "Instagram":"https://www.instagram.com/reactnative.modules/",
    "birth": datetime.datetime(2003, 06, 11)
    }
 
# Command To Insert A Single Data To The DataBase 
#  -> <database_onject>.insert_one(<Data>)

# If Insert Was Sucessful You will get a similar message 
# out[1]: <pymongo.results.InsertOneResult object at 0x10950e5f0>

print(records.insert_one(personDocument))


# --- Updating Data


# This Will Update All The Value Of The Given Object To The Other Object
records.update_one({'name': "Belgin"}, {'$set': {'name':"Value Changed"}})

# Now Running The Read Function Will Give The Following Output
# out[2]: {'_id': ObjectId('5f84030991186a218bf3b62d'), 'name': 'Value Changed'}


# --- Deleting Data


# This Command Will Delete The Whole Dictionary
records.delete_one({'name':"Belgin Android"})