最新章節

• Chapter 10 Working with Asynchronous Code Testing and Deploying an API with Tornado
• Chapter 9 Developing RESTful APIs with Tornado
• Chapter 8 Testing and Deploying an API with Flask
• Chapter 7 Improving and Adding Authentication to an API with Flask
• Chapter 6 Working with Models SQLAlchemy and Hyperlinked APIs in Flask
• Chapter 5 Developing RESTful APIs with Flask

• Chapter 10 Working with Asynchronous Code Testing and Deploying an API with Tornado 更新時間：2021-08-20 10:24:50
• Chapter 9 Developing RESTful APIs with Tornado
• Chapter 8 Testing and Deploying an API with Flask
• Chapter 7 Improving and Adding Authentication to an API with Flask
• Chapter 6 Working with Models SQLAlchemy and Hyperlinked APIs in Flask
• Chapter 5 Developing RESTful APIs with Flask
• Chapter 4 Throttling Filtering Testing and Deploying an API with Django
• Chapter 3 Improving and Adding Authentication to an API With Django
• Chapter 2 Working with Class-Based Views and Hyperlinked APIs in Django
• Chapter 1 Developing RESTful APIs with Django
• Chapter 11. Exercise Answers
• Summary
• Test your knowledge
• Other Python Web frameworks for building RESTful APIs
• Improving testing coverage
• Running unit tests with nose2 and checking testing coverage
• Writing a first round of unit tests
• Setting up unit tests
• Making HTTP requests to the Tornado non-blocking API
• Mapping URL patterns to asynchronous request handlers
• Refactoring code to take advantage of asynchronous decorators
• Understanding synchronous and asynchronous execution
• Chapter 10. Working with Asynchronous Code Testing and Deploying an API with Tornado
• Summary
• Test your knowledge
• Making HTTP requests to the Tornado API
• Mapping URL patterns to request handlers
• Writing request handlers
• Creating the classes that represent a drone
• Declaring status codes for the responses
• Setting up a virtual environment with Tornado
• Understanding the tasks performed by each HTTP method
• Designing a RESTful API to interact with slow sensors and actuators
• Chapter 9. Developing RESTful APIs with Tornado
• Summary
• Test your knowledge
• Understanding strategies for deployments and scalability
• Improving testing coverage
• Running unit tests with nose2 and checking testing coverage
• Writing a first round of unit tests
• Setting up unit tests
• Chapter 8. Testing and Deploying an API with Flask
• Summary
• Test your knowledge
• Composing requests with the necessary authentication
• Running migrations to generate the user table
• Creating resource classes to handle users
• Adding authentication to resources
• Creating a schemas to validate serialize and deserialize users
• Adding a user model
• Understanding the steps to add authentication and permissions
• Adding pagination features
• Coding a generic pagination class
• Updating fields for a resource with the PATCH method
• Improving unique constraints in the models
• Chapter 7. Improving and Adding Authentication to an API with Flask
• Summary
• Test your knowledge
• Creating and retrieving related resources
• Registering the blueprint and running migrations
• Combining blueprints with resourceful routing
• Creating schemas to validate serialize and deserialize models
• Creating models with their relationships
• Creating and configuring the database
• Installing packages to simplify our common tasks
• Understanding the tasks performed by each HTTP method
• Designing a RESTful API to interact with a PostgreSQL database
• Chapter 6. Working with Models SQLAlchemy and Hyperlinked APIs in Flask
• Summary
• Test your knowledge
• Making HTTP requests to the Flask API
• Configuring resource routing and endpoints
• Working with resourceful routing on top of Flask pluggable views
• Configuring output fields
• Using a dictionary as a repository
• Creating the model
• Declaring status codes for the responses
• Setting up a virtual environment with Flask and Flask-RESTful
• Understanding the tasks performed by each HTTP method
• Designing a RESTful API to interact with a simple data source
• Chapter 5. Developing RESTful APIs with Flask
• Summary
• Test your knowledge
• Understanding strategies for deployments and scalability
• Improving testing coverage
• Running unit tests and checking testing coverage
• Writing a first round of unit tests
• Setting up unit tests
• Filtering searching and ordering in the Browsable API
• Testing filtering searching and ordering
• Configuring filtering searching and ordering for views
• Understanding filtering searching and ordering classes
• Testing throttling policies
• Configuring throttling policies
• Understanding throttling classes
• Chapter 4. Throttling Filtering Testing and Deploying an API with Django
• Summary
• Test your knowledge
• Browsing the API with authentication credentials
• Composing requests with the necessary authentication
• Setting a default value for a new required field in migrations
• Configuring permission policies
• Persisting the user that makes a request
• Creating a customized permission class for object-level permissions
• Adding security-related data to the models
• Understanding authentication permissions and throttling
• Customizing pagination classes
• Taking advantage of pagination
• Updating a single field for a resource with the PATCH method
• Adding unique constraints to the models
• Chapter 3. Improving and Adding Authentication to an API With Django
• Summary
• Test your knowledge
• Creating and retrieving related resources
• Working with endpoints for the API
• Taking advantage of generic class based views
• Creating class-based views and using generic classes
• Managing serialization and deserialization with relationships and hyperlinks
• Declaring relationships with the models
• Understanding the tasks performed by each HTTP method
• Designing a RESTful API to interact with a complex PostgreSQL database
• Browsing the API
• Using the default parsing and rendering options and move beyond JSON
• Working with wrappers to write API views
• Using model serializers to eliminate duplicate code
• Chapter 2. Working with Class-Based Views and Hyperlinked APIs in Django
• Summary
• Test your knowledge
• Making HTTP requests to the API
• Writing API views
• Managing serialization and deserialization
• Creating the models
• Setting up the virtual environment with Django REST framework
• Working with lightweight virtual environments
• Understanding the tasks performed by each HTTP method
• Designing a RESTful API to interact with a simple SQLite database
• Chapter 1. Developing RESTful APIs with Django
• Customer support
• Reader feedback
• Conventions
• Who this book is for
• What you need for this book
• What this book covers
• Preface
• Why subscribe?
• www.PacktPub.com
• About the Reviewer
• Acknowledgments
• About the Author
• Credits
• 版權頁
• 封面

• 封面
• 版權頁
• Credits
• About the Author
• Acknowledgments
• About the Reviewer
• www.PacktPub.com
• Why subscribe?
• Preface
• What this book covers
• What you need for this book
• Who this book is for
• Conventions
• Reader feedback
• Customer support
• Chapter 1. Developing RESTful APIs with Django
• Designing a RESTful API to interact with a simple SQLite database
• Understanding the tasks performed by each HTTP method
• Working with lightweight virtual environments
• Setting up the virtual environment with Django REST framework
• Creating the models
• Managing serialization and deserialization
• Writing API views
• Making HTTP requests to the API
• Test your knowledge
• Summary
• Chapter 2. Working with Class-Based Views and Hyperlinked APIs in Django
• Using model serializers to eliminate duplicate code
• Working with wrappers to write API views
• Using the default parsing and rendering options and move beyond JSON
• Browsing the API
• Designing a RESTful API to interact with a complex PostgreSQL database
• Understanding the tasks performed by each HTTP method
• Declaring relationships with the models
• Managing serialization and deserialization with relationships and hyperlinks
• Creating class-based views and using generic classes
• Taking advantage of generic class based views
• Working with endpoints for the API
• Creating and retrieving related resources
• Test your knowledge
• Summary
• Chapter 3. Improving and Adding Authentication to an API With Django
• Adding unique constraints to the models
• Updating a single field for a resource with the PATCH method
• Taking advantage of pagination
• Customizing pagination classes
• Understanding authentication permissions and throttling
• Adding security-related data to the models
• Creating a customized permission class for object-level permissions
• Persisting the user that makes a request
• Configuring permission policies
• Setting a default value for a new required field in migrations
• Composing requests with the necessary authentication
• Browsing the API with authentication credentials
• Test your knowledge
• Summary
• Chapter 4. Throttling Filtering Testing and Deploying an API with Django
• Understanding throttling classes
• Configuring throttling policies
• Testing throttling policies
• Understanding filtering searching and ordering classes
• Configuring filtering searching and ordering for views
• Testing filtering searching and ordering
• Filtering searching and ordering in the Browsable API
• Setting up unit tests
• Writing a first round of unit tests
• Running unit tests and checking testing coverage
• Improving testing coverage
• Understanding strategies for deployments and scalability
• Test your knowledge
• Summary
• Chapter 5. Developing RESTful APIs with Flask
• Designing a RESTful API to interact with a simple data source
• Understanding the tasks performed by each HTTP method
• Setting up a virtual environment with Flask and Flask-RESTful
• Declaring status codes for the responses
• Creating the model
• Using a dictionary as a repository
• Configuring output fields
• Working with resourceful routing on top of Flask pluggable views
• Configuring resource routing and endpoints
• Making HTTP requests to the Flask API
• Test your knowledge
• Summary
• Chapter 6. Working with Models SQLAlchemy and Hyperlinked APIs in Flask
• Designing a RESTful API to interact with a PostgreSQL database
• Understanding the tasks performed by each HTTP method
• Installing packages to simplify our common tasks
• Creating and configuring the database
• Creating models with their relationships
• Creating schemas to validate serialize and deserialize models
• Combining blueprints with resourceful routing
• Registering the blueprint and running migrations
• Creating and retrieving related resources
• Test your knowledge
• Summary
• Chapter 7. Improving and Adding Authentication to an API with Flask
• Improving unique constraints in the models
• Updating fields for a resource with the PATCH method
• Coding a generic pagination class
• Adding pagination features
• Understanding the steps to add authentication and permissions
• Adding a user model
• Creating a schemas to validate serialize and deserialize users
• Adding authentication to resources
• Creating resource classes to handle users
• Running migrations to generate the user table
• Composing requests with the necessary authentication
• Test your knowledge
• Summary
• Chapter 8. Testing and Deploying an API with Flask
• Setting up unit tests
• Writing a first round of unit tests
• Running unit tests with nose2 and checking testing coverage
• Improving testing coverage
• Understanding strategies for deployments and scalability
• Test your knowledge
• Summary
• Chapter 9. Developing RESTful APIs with Tornado
• Designing a RESTful API to interact with slow sensors and actuators
• Understanding the tasks performed by each HTTP method
• Setting up a virtual environment with Tornado
• Declaring status codes for the responses
• Creating the classes that represent a drone
• Writing request handlers
• Mapping URL patterns to request handlers
• Making HTTP requests to the Tornado API
• Test your knowledge
• Summary
• Chapter 10. Working with Asynchronous Code Testing and Deploying an API with Tornado
• Understanding synchronous and asynchronous execution
• Refactoring code to take advantage of asynchronous decorators
• Mapping URL patterns to asynchronous request handlers
• Making HTTP requests to the Tornado non-blocking API
• Setting up unit tests
• Writing a first round of unit tests
• Running unit tests with nose2 and checking testing coverage
• Improving testing coverage
• Other Python Web frameworks for building RESTful APIs
• Test your knowledge
• Summary
• Chapter 11. Exercise Answers
• Chapter 1 Developing RESTful APIs with Django
• Chapter 2 Working with Class-Based Views and Hyperlinked APIs in Django
• Chapter 3 Improving and Adding Authentication to an API With Django
• Chapter 4 Throttling Filtering Testing and Deploying an API with Django
• Chapter 5 Developing RESTful APIs with Flask
• Chapter 6 Working with Models SQLAlchemy and Hyperlinked APIs in Flask
• Chapter 7 Improving and Adding Authentication to an API with Flask
• Chapter 8 Testing and Deploying an API with Flask
• Chapter 9 Developing RESTful APIs with Tornado
• Chapter 10 Working with Asynchronous Code Testing and Deploying an API with Tornado 更新時間：2021-08-20 10:24:50