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Develop RESTful web services using the Flask micro-framework and integrate them using MySQL. Use Flask to develop, deploy, and manage REST APIs with easy-to-read and understand Python code. Solve your problem from a choice of libraries. Learn to use MySQL as the web services database for your Flask API using SQLAlchemy ORM.
Building REST APIs with Flask provides a primer on Flask, RESTful services, and working with pip to set up your virtual environment. The key differences between NoSQL and SQL are covered, and you are taught how to connect MySQL and Flask using SQLAlchemy. Author Kunal Relan presents best practices for creating REST APIs and guides you in structuring your app and testing REST endpoints. He teaches you how to set up authentication and render HTML using views. You learn how to write unit tests for your REST APIs, and understand mocks, assertions, and integration testing. You will know how to document your REST APIs, deploy your Flask application on all of the major cloud platforms, and debug and monitor your Flask application.
What You'll Learn
- Use MySQL to create Flask REST APIs
- Test REST endpoints
- Create CRUD endpoints with Flask and MySQL
- Deploy Flask on all of the major cloud platforms
- Monitor your Flask application
Who This Book Is For
Python developers interested in REST API development using Flask and web developers with basic programming knowledge who want to learn how Python and REST APIs work together. Readers should be familiar with Python (command line, or at least pip) and MySQL.
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- Verlag: Springer-Verlag GmbH
- Erscheinungstermin: 12.09.2019
- ISBN-13: 9781484250228
- Artikelnr.: 57734153
Chapter 1: Beginning with Flask Chapter Goal: Give the readers a primer on Flask and RESTful services and set up virtual environment for REST API development No of pages: 20 Sub -Topics 1. Introduction to Flask 2. Introduction to RESTful Services 3. Working with pip 4. Setting up Virtual Environment 5. Explaining the Flask Microframework Chapter 2: MongoDB and PyMongo Chapter Goal: Teach the readers the ket differences between NoSQL and SQL. Show readers how to connect MongoDB and Flask using PyMongo. No of pages: 20 Sub - Topics 1. NoSQL vs SQL 2. Introducing MongoDB 3. Introducing PyMongo 4. Connecting MongoDB with Flask Chapter 3: Architecting REST API Chapter Goal: Learn about creating REST APIs along with the best practices associated with them. Readers will also learn to structure their app and test REST endpoints. No of pages: 30 Sub - Topics: 1. REST 101 2. Python and REST 3. REST Best Practices 4. Structuring the application 5. Testing REST Endpoints Chapter 4: CRUD with Flask and MongoDB Chapter Goal: Teach readers how to work with modules and how to create CRUD endpoints using Flask and MongoDB. Readers will also learn to set up Authentication and Rendering HTML using views. No of pages: 25 Sub - Topics: 1. Working with modules 2. Creating CRUD endpoints using Flask and MongoDB 3. Setting up Authentication 4. Rendering HTML using views Chapter 5: Testing REST API Chapter Goal: Teach readers how to write unit tests for their REST APIs. Readers will also learn about mocks, assertions and Integratioin Testing No of pages: 20 Sub - Topics: 1. Introducing Unit Testing Framework 2. Writing unit tests for the APIs 3. Mocks and Integratioin Testing\ 4. Assertions Chapter 6: Documenting REST APIs Chapter Goal: Readers will learn to document their REST APIs and also get to know Automated API documentation. No of pages: 15 Sub - Topics: 1. Documenting APIs 101 2. Generating Automated API documentation Chapter 7: Deploying REST APIs Chapter Goal: Readers will learn to deploy their Flask applications using uWSGI and Nginx. They will be deploying their applications on Heroku. No of pages: 25 Sub - Topics: 1. Deploying Flask Applications 101 2. Introducing uWSGI and Nginx 3. Deploying Flask Application using uWSGI and Nginx 4. Deploying on Heroku Chapter 8: Debugging and Monitoring Chapter Goal: Readers will learn to debug and monitor their Flask application. No of pages: 20 Sub - Topics: 1. Debugging Flask Application 101 2. Debugging Nginx Requests 3. Flask Monitoring 4. Conclusion
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