Python ORM Made Simple: The Starter Guide to Python ORM and Databases
Learn how to use SQLAlchemy, Python’s most powerful ORM, to manage databases easily without raw SQL. Perfect for beginners building real-world Python apps.
Think about what it’s like trying to talk to someone who doesn’t speak your language. Every time you want to say something, you’ve got to slow down and translate every word into a language they understand.
That’s basically what happens when a Python developer tries to work with a database that only understands SQL. The two are speaking totally different languages.
That’s where something called ORM—short for Object-Relational Mapping—comes in.
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It acts like a translator. Instead of writing raw SQL, ORM lets you work with your database using plain Python code. You deal with Python objects, and it handles all the behind-the-scenes communication with the database for you.
In this article, I’ll break down what ORM actually is, how it works in Python, and how it can help you build apps that use data without all the extra hassle. To handle all this I will also spend time introducing you to SQL Alchemy.
P.S - I will build on this on a deeper level in some of the coming articles.
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I’ll even link an ORM video I made for you guys at the bottom of the article. It’s time you start understand ORM design, welcome back Python crew!
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