Graphene in Python Applications (eBook, ePUB)
The Complete Guide for Developers and Engineers
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"Graphene in Python Applications" Unlock the full potential of modern API development with "Graphene in Python Applications," a comprehensive guide to mastering Graphene-the leading Python implementation of GraphQL. This expertly structured resource navigates from the foundational tenets of GraphQL, contrasting its paradigms with REST, to the nuanced anatomy of schemas, type systems, and advanced API introspection techniques. Readers will build confidence in designing robust, introspective, and scalable APIs that are idiomatic to Python and optimized for modern development workflows. Each chap...
"Graphene in Python Applications" Unlock the full potential of modern API development with "Graphene in Python Applications," a comprehensive guide to mastering Graphene-the leading Python implementation of GraphQL. This expertly structured resource navigates from the foundational tenets of GraphQL, contrasting its paradigms with REST, to the nuanced anatomy of schemas, type systems, and advanced API introspection techniques. Readers will build confidence in designing robust, introspective, and scalable APIs that are idiomatic to Python and optimized for modern development workflows. Each chapter distills high-impact strategies, from constructing intricate domain models using Graphene's extensive type system to integrating seamlessly with popular Python web frameworks like Django and Flask. The book delves deep into advanced resolver architectures, efficient data fetching with batching and caching, and embedding authentication, domain logic, and validation at every layer. Practical insights cover the entire API lifecycle: schema evolution, testing, versioning, deployment, and containerization for production-grade applications. Beyond fundamentals, the text addresses cutting-edge challenges and innovations-federated schemas for microservices, real-time data streaming with subscriptions, compliance with security standards, and integration with both relational and NoSQL backends. Real-world case studies, advanced performance tuning, observability, and DevOps best practices round out this indispensable guide, ensuring teams and individuals remain at the forefront of scalable, secure, and future-ready API delivery with Python and Graphene.
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