MongoDB for Python Developers
Building your first (or 100th) app with MongoDB? With a flexible document model and a powerful suite of developer tools, MongoDB makes building your next Python app a breeze. On this page, learn why MongoDB is the best database for Python.
FAQs
There are a few databases for Python available, and which you use will depend on your use case. For the situations where the shape of your data is unlikely to change, you can use a relational database, also known as SQL.
For other scenarios where you want more flexibility and scalability, a general purpose document database such as MongoDB is very popular.
Yes, you can. There are many different libraries available for the different databases you can use with Python. PyMongo the most popular library for working with MongoDB, has functions available for creating, querying, and updating your databases and documents amongst other useful features.
Yes. If your use case calls for a relational database in your application, there are libraries available for different SQL databases, including MySQL PostgreSQL and SQLite
Which you learn first depends on your needs. Both play different roles. Python is a programming language that allows you to develop different types of applications. Python is commonly used in web development and data science, with a specialty in machine learning.
SQL (Structured Query Language) is a language for querying and manipulating data in relational databases that use a tabular structure.
If you want to work with a SQL database such as MySQL, PostgreSQL, or SQLite, you will need to learn how to write SQL. These databases often provide tooling such as a user interface or command-line tool for carrying out SQL queries against the database. So if you are mostly working directly with the data, then you might consider learning SQL first.
However, if you plan to mainly create and interact with your database from inside an application and Python is your chosen programming language, then you might learn Python first. This way, you can create the application first and have the code in place to then query the database.
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