Retrieve and Pass medicine_name Data from Flask-SQLAlchemy to Your Template

Описание к видео Retrieve and Pass medicine_name Data from Flask-SQLAlchemy to Your Template

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Summary: Learn how to retrieve and pass `medicine_name` data from Flask-SQLAlchemy to your template with this straightforward guide. Ideal for intermediate programmers familiar with Python and Flask.
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Retrieve and Pass medicine_name Data from Flask-SQLAlchemy to Your Template

Flask-SQLAlchemy is a powerful tool for web development, allowing seamless integration between Flask web applications and SQL databases via SQLAlchemy. When building a web application, one common task might be to retrieve data from your database and pass it to your HTML templates for rendering. In this post, we will walk through how to fetch medicine_name data from a database using Flask-SQLAlchemy and display this data in your template.

Prerequisites

To follow this guide, you should have a basic understanding of:

Python programming

Flask framework

SQLAlchemy ORM

Setting Up Flask-SQLAlchemy

Before diving into data retrieval, ensure you have Flask and Flask-SQLAlchemy installed in your environment:

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Step 1: Define Your Database Models

First, you need to define your database models. Let's assume you have a model for Medicine that includes a column for medicine_name.

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Step 2: Create a Route to Retrieve Data

Next, create a route that will retrieve all medicine_name values from the database and pass them to the template.

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Step 3: Create the Template

Now, create an HTML template to display the retrieved medicine_name data. Save the following as medicines.html in your templates directory.

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Conclusion

And there you have it! You have now successfully retrieved medicine_name data from a Flask-SQLAlchemy database and passed it to a template for rendering. This process can be expanded to include more complex data retrieval and rendering as your application grows.

By mastering these steps, you are well on your way to creating dynamic and data-driven web applications with Flask and SQLAlchemy.

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