REST APIs with Flask Python Certification
What is Rest API?
REST (representational state transfer) is a software architectural style that was developed to guide the design and development of the World Wide Web's structure. REST establishes a set of guidelines for how an Internet-scale distributed hypermedia system, such as the Web, should be designed. The REST architectural style emphasizes scalability of component interactions, uniform interfaces, component deployment independence, and the establishment of a layered architecture to enable caching components to minimize user-perceived lag, enforce security, and encapsulate legacy systems.
REST is a generally established set of rules for establishing stateless, dependable online APIs that have been used throughout the software industry. RESTful is an informal term for a web API that follows the REST requirements. RESTful online APIs are primarily built on HTTP protocols for accessing resources via URL-encoded parameters and data transmission using JSON or XML.
On the World Wide Web, "web resources" were first defined as URL-identified documents or files. Today's definition is much broader and more abstract, encompassing anything, object, or action that can be identified, named, addressed, handled, or performed in any way on the Internet. Requests to a resource's URI in a RESTful Web service elicit a response with a payload formatted in HTML, XML, JSON, or another format. The response could, for example, certify that the resource state has changed. Hypertext links to similar resources can also be included in the response. HTTP is the most commonly used protocol for these requests and responses. It supports GET, POST, PUT, and DELETE actions (HTTP methods). RESTful systems aim for quick performance, dependability, and the potential to grow by reusing components that can be controlled and modified without affecting the system as a whole, even while it is running, using a stateless protocol and standard procedures.
Performance, durability, simplicity, customizability, visibility, adaptability, and dependability are all goals of REST. This is accomplished by adhering to REST principles such as client-server design, statelessness, cacheability, layered systems, code-on-demand support, and a unified interface. For a system to be labeled as RESTful, certain principles must be followed.
How it works?
REST determines the structure of an API. Developers must adhere to a set of guidelines when creating APIs. Referring to a URL, for example, is required by law to offer some information. The data delivered is referred to as a Response, while every URL is referred to as a Request. A transaction is deconstructed via the REST API into a series of little components. Each component is responsible for a different aspect of a transaction. It is a versatile development technique due to its modularity.
HTTP requests, as described by the RFC 2616 standard, are used by a REST API. It makes use of the requests listed below:
Data is retrieved using a GET request.
To alter the state of data, a PUT request is utilized (such as an object, file, or block)
For data creation, send a POST request.
Use the DELETE command to get rid of it.
REST APIs use a variety of HTTP status codes, which are listed below.
What is Python?
Python is a free and open-source programming language for Linux, Mac OS X, and Windows. This programming language is considered a beginner's language and is capable of handling any data science or data analysis task.
Python is a high-level programming language with a syntax that is similar to that of a natural language. It can be used for a multitude of things, such as:
Analyzing data
Development of web applications
Automation/scripting
Python as a Machine Learning Tool
What exactly is a flask?
Flask is a microweb framework written in Python. Because it does not require the use of any specific tools or libraries, it is referred to as a microframework. It lacks a database abstraction layer, form validation, and other components that rely on third-party libraries to accomplish common tasks. Extensions, on the other hand, may be used to add application features that aren't included in Flask. Extensions are available for object-relational mappers, form validation, upload handling, and other framework-related features.
Two apps that use the Flask framework include Pinterest and LinkedIn.
Flask is made up of what?
The microstructure of the organism one of the Pallets Projects is Flask, which is based on a few of others.
Werkzeug is a BSD-licensed Python utility package that acts as a toolkit for WSGI applications. Werkzeug may be used to develop software objects that perform the request, response, and utility operations. It may be used to build a custom software framework on Python 2.7, 3.5, and beyond.
Ronacher also developed Jinja, a BSD-licensed template engine for the Python programming language. It handles templates with a sandbox, similar to the Django web framework.
MarkupSafe is a BSD-licensed string manipulation package for the Python programming language. MarkupSafe enhances the Python string type by marking its contents as "safe"; using MarkupSafe with regular strings automatically escape unmarked strings while avoiding double escaping of already marked strings.
dangerous is a BSD-licensed safe data serialization package for the Python programming language. It's used to keep a Flask application's session in a cookie without allowing users to change the session's contents.
What are the features of Flask?
Debugging and development server
RESTful request dispatching has integrated support for unit testing.
Uses Templating jinja
Secure cookies are supported (client-side sessions)
Unicode-based and complies with WSGI 1.0.
Documentation is extensive.
Compatibility with Google App Engine
Extensions are provided to improve desired characteristics.
What you'll learn?
The main highlights are following:
Introduction
A Full Python Refresher
Your first REST API
Flask-RESTful for more efficient development
Storing resources in a SQL database
Simplifying storage with Flask-SQLAlchemy
Git—version control
Deploying Flask apps to Heroku
Deploying Flask apps to our own server
Security in your REST APIs
Token refreshing and Flask-JWT-Extended
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