pydantic-sqlalchemy-tutorial

Pydantic sqlalchemy tutorial

Pydantic sqlalchemy tutorial
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Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Contributing
5. License
6. Contact

This tutorial provides a comprehensive guide on leveraging the functionalities of Pydantic and SQLAlchemy within Python applications. Pydantic is utilized primarily for data validation and settings management through data parsing and validation using Python type annotations. SQLAlchemy, on the other hand, serves as a powerful SQL toolkit and Object-Relational Mapping (ORM) system for Python, facilitating database communication more efficiently and intuitively.

The aim of this tutorial is to showcase how these two libraries can be integrated to build robust data processing applications. You'll learn how to validate data effectively with Pydantic and perform database operations seamlessly with SQLAlchemy. Whether you're managing data flows for web development with FastAPI or orchestrating complex data transformations for ETL processes, this guide will provide you with the necessary tools and knowledge to enhance your projects' architecture and data integrity.

This guide is ideal for developers looking to improve their backend systems, data scientists seeking to streamline their data handling, and anyone in between who wishes to master these powerful Python libraries.

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Built with

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Getting Started

Prerequisites

• Python 3.12+

Installation

1. Clone the repository

   git clone https://github.com/jpcadena/pydantic-sqlalchemy-tutorial.git

2. Change the directory to root project

   cd pydantic-sqlalchemy-tutorial

3. Install Poetry package manager

   pip install poetry

4. Install the project's dependencies

   poetry install

5. Activate the environment

   poetry shell

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Usage

1. Setting up environment variables:

   If you find a .env.sample in the project directory, make a copy of it and rename to .env.

   cp .env.sample .env

   This .env file will be used to manage your application's environment variables.

2. Configuring your credentials:

   Open the .env file in a text editor and replace the placeholder values with your actual credentials.

   # .env file
   POSTGRES_USER=your_database_user
   SECRET_KEY=your_api_key

3. Execute with console

   python main.py

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Contributing

Please read our contributing guide for details on our code of conduct, and the process for submitting pull requests to us.

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Security

For security considerations and best practices, please refer to our Security Guide for a detailed guide.

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Code of Conduct

We enforce a code of conduct for all maintainers and contributors. Please read our Code of Conduct to understand the expectations before making any contributions.

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License

Distributed under the MIT License. See LICENSE for more information.

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Contact

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