|
via Udemy |
Go to Course: https://www.udemy.com/course/building-graphql-apis-with-python/
Certainly! Here's a comprehensive review and recommendation for the Coursera course on learning GraphQL with Python: --- **Course Review and Recommendation: Mastering GraphQL with Python on Coursera** If you're a developer or a tech enthusiast eager to expand your skills in API development, this course offers an exceptional resource for mastering GraphQL using Python. Designed for both beginners with some Python experience and intermediate developers, this course provides a thorough introduction and practical insights into building modern, efficient APIs. **What You Will Learn:** - The fundamentals of GraphQL, including schemas, types, queries, mutations, and more. - How to build a GraphQL server in Python, exposing a web API for real-time data interaction. - Advanced topics such as integrating with cloud-hosted SQL databases using SQLAlchemy ORM. - Implementing authentication and authorization with JSON Web Tokens (JWT). - Deploying GraphQL applications as serverless functions, making your solutions scalable and cost-effective. **Course Structure and Delivery:** The course is thoughtfully divided into two main parts. The initial hours focus on foundational concepts, with hands-on exercises using a graphical in-browser IDE to construct queries and mutations, making the learning process interactive and engaging. The second part dives deeper into advanced topics, including database integration, security, and deployment — essential skills for production-ready APIs. **Strengths:** - Practical, real-world approach with a focus on building production-quality applications. - Clear explanations of complex topics, supported by live demonstrations and interactive tools. - Coverage of modern development practices like serverless deployment and JWT-based security. - Suitable for those familiar with Python, with an optional appendix for newcomers. **Who Should Enroll:** - Python developers looking to learn GraphQL for building flexible APIs. - Backend developers interested in offering more efficient data retrieval solutions. - Students and professionals wanting to stay updated with modern API design and deployment. **Final Thoughts:** This course stands out for its comprehensive content, practical orientation, and focus on current industry standards. Whether you're looking to phase out REST in favor of GraphQL or enhance your existing API skills, this course provides the necessary knowledge and tools to succeed. Plus, with the added bonus of deploying as serverless functions, you gain an understanding of scalable solutions in the cloud. **Recommendation:** I highly recommend this course for anyone serious about modern API development with Python. It offers valuable skills, hands-on experience, and insights into deploying applications that are widely used by top-tier companies around the world. With consistent effort, you'll be well-equipped to implement GraphQL in your own projects and significantly improve your backend development capabilities. --- Feel free to ask if you'd like a more personalized review or additional details!
Welcome to the best resource online for learning GraphQL with Python!In this course you will learn how to build GraphQL APIs to replace standard REST APIs and their limitations. In addition, you will learn about features like authentication, object-relational mapping, version control, and deployment, which go hand in hand with modern application development of GraphQL APIs.Today GraphQL is used by teams of all sizes in many different environments and languages to power mobile apps, websites, and APIs. From Airbnb and Atlassian to Audi and GitHub, companies the world over are using GraphQL APIs in production. GraphQL has gained significant traction in recent years because it offers a more flexible and efficient approach to data retrieval that addresses over-fetching and under-fetching issues that are common with REST APIs.This course is for anyone looking to learn GraphQL with Python. It is designed to teach you everything you need to know to build production-ready GraphQL APIs with Python.In the first 2 hours you will learn the basics of GraphQL, how to build a GraphQL server with Python, and how to expose a web API to interact with it. This introduction will give you a solid foundation of the core GraphQL concepts like schemas, types, queries, mutations, variables, fragments, directives and more. We will be working with a live GraphQL API, as we explore these concepts through a graphical in-browser IDE, constructing queries and mutations, and exploring result sets in real time. In the second part of the course we'll delve into more advanced topics, as we integrate our GraphQL applications with cloud-hosted SQL databases, and in the process also gain a practical understanding of the widely-popular SQLAlchemy ORM. We'll define advanced mutations and query capabilities, before we shift our attention to authentication and authorization flows, where we will use JSON web tokens to implement a role-based permissioning system. In the end we will deploy our application as a serverless function to the cloud, for free.Throughout the course you'll learn how to: Model your application data using schemas and entities Create queries allowing clients to access data in the database through GraphQL Create mutations allowing clients to create and change data in the database Query and change your data from the browser by making requests with graphical, in-browser IDEs Work with the SQLAlchemy ORM (v2) to communicate with your database Secure your application data with JWT-based authentication and authorization system Deploy your GraphQL applications as serverless functions, for free This course assumes you're somewhat familiar with python, but if you're not or haven't programmed in python for a while, there is a full length introduction to the python programming language included as an appendix. I'm excited to be your instructor. See you inside!