Python MongoDB
MongoDB is one of the most popular NoSQL database. It is a cross-platform, object-oriented database. Basically NoSQL means MongoDB does not store data in the table or relational format rather provide a different mechanism for storage and retrieval of data. This is called BSON which is similar to JSON. That’s why MongoDB offers high speed, high availability, and high scalability.
Introduction
Python MongoDB Queries
- What is a MongoDB Query?
- Insert and Update Data Query
- insert_one Query
- insert_many Query
- Difference Between insert, insert_one, and insert_many queries in Pymongo
- Update_one Query
- Update_many Query
- insert, replace_one, replace_many Queries
- Delete Data and Drop Collection
- Delete_one Query
- Delete_many Query
- Find Query
- find_one Query
- find_one_and_update Query
- find_one_and_delete query
- find_one_and_replace Query
- Sort Query
- distinct Query
- rename Query
- bulk_write Query
- $group (aggregation) Operation
- Limit Query
- Nested Queries in PyMongo
Python MongoDB Indexing
- Indexing in MongoDB using Python
- Python MongoDB – create_index Query
- How to create index for MongoDB Collection using Python?
- Get all the information of a Collection’s indexes using PyMongo
- drop_index Query
- How to Drop all the indexes in a Collection using PyMongo?
- How to rebuild all the indexes of a collection using PyMongo?
Python Database Tutorial
Python being a high-level language provides support for various databases. We can connect and run queries for a particular database using Python and without writing raw queries in the terminal or shell of that particular database, we just need to have that database installed in our system.
In this tutorial, we will discuss how to Python with the most commonly used relational databases such as MySQL, SQLite, NoSQL databases like MongoDB and we will also discuss how to deal with JSON using Python with the help of good examples.
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