LEARN PYDANTIC V2 Master Data Modeling and Validation with High Performance

This book is intended for students and professionals in data, software engineering, machine learning, and cloud who want to master advanced validation, schema automation, and robust integrations with Pydantic V2. Learn to apply high-performance models in Python environments by integrating FastAPI, SQLAlchemy, Pandas, Dataclasses, Typer, Poetry, Alembic, Celery, Airflow, Kafka, MongoDB, PostgreSQL, AWS Lambda, and Google Cloud Functions. The content covers asynchronous validation, dynamic typing, efficient parsing, automated testing, JSON serialization, OpenAPI documentation, deployment via Docker, Kubernetes, and full integration with CI/CD, DataOps, and MLOps pipelines.

Includes:

- Dynamic schema structuring and automation with Pydantic V2

- Integration with FastAPI, Typer, SQLAlchemy, Pandas, Dataclasses

- Data consumption and validation in REST APIs, Kafka, and microservices

- Orchestration with Airflow, Celery, and scalable deployment via Docker/Kubernetes

- Complex data modeling for machine learning and analytics

- Testing, OpenAPI documentation, serialization, and advanced validation

- Compatibility with PostgreSQL, MongoDB, AWS, Google Cloud

Master Pydantic V2 to build resilient, scalable, and secure applications, optimizing integrations, data automation, and performance in modern environments.

pydantic, fastapi, sqlalchemy, pandas, airflow, kafka, celery, docker, kubernetes, data validation, automation, api integration, cloud, mlops, dataops