Python MongoDB

🐍 Python MongoDB

In Python MongoDB is a NoSQL database that stores data in JSON-like documents.
It can interact with MongoDB using the pymongo library.

1️⃣ Install PyMongo

2️⃣ Connect to MongoDB

Replace localhost:27017 if you have a remote MongoDB server.

3️⃣ Create a Collection

Collections are like tables in SQL.

4️⃣ Insert Documents

# Single document
student1 = {"name": "Vipul", "age": 25, "courses": ["Python", "Java"]}
students_col.insert_one(student1)# Multiple documents
students = [
{"name": "Riya", "age": 22, "courses": ["C++"]},
{"name": "Amit", "age": 24, "courses": ["JavaScript", "Python"]}
]

# Single document

student1 = {"name": "Vipul", "age": 25, "courses": ["Python", "Java"]}

students_col.insert_one(student1)# Multiple documents

students = [

{"name": "Riya", "age": 22, "courses": ["C++"]},

{"name": "Amit", "age": 24, "courses": ["JavaScript", "Python"]}

]

students_col.insert_many(students)print(“✅ Documents inserted”)

5️⃣ Read Documents

# Find all documents
all_students = students_col.find()
for student in all_students:
print(student)# Find one document
student = students_col.find_one({"name": "Vipul"})
print(student)# Find with condition
students_under_25 = students_col.find({"age": {"$lt": 25}})
for s in students_under_25:
print(s)

# Find all documents

all_students = students_col.find()

for student in all_students:

print(student)# Find one document

student = students_col.find_one({"name": "Vipul"})

print(student)# Find with condition

students_under_25 = students_col.find({"age": {"$lt": 25}})

for s in students_under_25:

print(s)

6️⃣ Update Documents

7️⃣ Delete Documents

8️⃣ Query Operators

Operator	Description	Example
`$lt`	Less than	`{"age": {"$lt": 25}}`
`$gt`	Greater than	`{"age": {"$gt": 20}}`
`$lte`	Less than or equal	`{"age": {"$lte": 25}}`
`$gte`	Greater than or equal	`{"age": {"$gte": 20}}`
`$ne`	Not equal	`{"name": {"$ne": "Vipul"}}`
`$in`	In list	`{"age": {"$in": [22,24]}}`
`$nin`	Not in list	`{"age": {"$nin": [22,24]}}`

9️⃣ Sorting and Limiting

10️⃣ Drop Collection or Database

11️⃣ Full Example: CRUD in MongoDB

from pymongo import MongoClient

client = MongoClient("mongodb://localhost:27017/")
db = client["testdb"]
students_col = db["students"]

# Insert
students_col.insert_one({"name": "Vipul", "age": 25})
students_col.insert_many([
{"name": "Riya", "age": 22},
{"name": "Amit", "age": 24}
])

# Read
for s in students_col.find():
print(s)

# Update
students_col.update_one({"name": "Vipul"}, {"$set": {"age": 26}})

# Delete
students_col.delete_one({"name": "Riya"})

from pymongo import MongoClient

client = MongoClient("mongodb://localhost:27017/")

db = client["testdb"]

students_col = db["students"]

# Insert

students_col.insert_one({"name": "Vipul", "age": 25})

students_col.insert_many([

{"name": "Riya", "age": 22},

{"name": "Amit", "age": 24}

])

# Read

for s in students_col.find():

print(s)

# Update

students_col.update_one({"name": "Vipul"}, {"$set": {"age": 26}})

# Delete

students_col.delete_one({"name": "Riya"})

✅ MongoDB Advantages:

Schema-less, flexible data
Stores complex JSON-like documents
Fast for reads/writes
Easy integration with Python via pymongo