Integrating MongoDB with Python Using PyMongo
Introduction
In this post, we will dive into MongoDB as a data store from a Python perspective. To that end, we’ll write a simple script to showcase what we can achieve and any benefits we can reap from it.
Web applications, like many other software applications, are powered by data. The organization and storage of this data are important as they dictate how we interact with the various applications at our disposal. The kind of data handled can also have an influence on how we undertake this process.
Databases allow us to organize and store this data, while also controlling how we store, access, and secure the information.
NoSQL Databases
There are two main types of databases – relational and non-relational databases.
Relational databases allow us to store, access, and manipulate data in relation to another piece of data in the database. Data is stored in organized tables with rows and columns with relationships linking the information among tables. To work with these databases, we use the Structured Query Language (SQL) and examples include MySQL and PostgreSQL.
Non-relational databases store data in neither relation or