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FastAPI

FastAPI is a modern, fast (high-performance) a web framework for building APIs with Python 3.6+ based on standard Python type hints. One of its key features is the use of type annotations to declare request parameters and objects, which allows for automatic data validation, serialization, and documentation using the Pydantic library.

FastAPI uses the asynchronous capabilities of Python to allow for the concurrent execution of multiple requests, making it well-suited for building high-performance, highly concurrent APIs. It also includes support for dependency injection and includes features such as automatic interactive documentation using the Swagger UI and ReDoc.

In terms of performance, FastAPI is one of the fastest Python web frameworks available. According to some benchmarks, it's even faster than Node.js, Go, and Java.

To get started with FastAPI, you will need to have Python 3.6 or later installed on your system. You can then use pip to install FastAPI and its dependencies. Once you have the necessary packages installed, you can create a new FastAPI application by defining a Python function that will handle incoming requests and then using the FastAPI class to create an instance of the web application.

FastAPI also offers a lot more features, like support for OAuth2, using middlewares, testing, and deployment. Using Pydantic, also offers request data validation, serialization, and documentation feature.

FastAPI also offers a routing feature, where you can define your routes and handlers for a specific routes, it also offers options to accept query parameters, path parameters, form parameters, and handling request body.

Please refer to the official documentation for more information and on how to use FastAPI: https://fastapi.tiangolo.com/

It's also widely adopted and has a big and active community to help you.

FastAPI also provides support for webSocket, so that you can easily create real-time applications. This can be useful for creating applications such as chat apps, real-time dashboards, and more.

FastAPI is also compatible with popular ORM libraries such as SQLAlchemy and Tortoise-ORM, which allows you to interact with databases easily. This makes it easy to handle tasks such as creating, reading, updating, and deleting records in the database.

FastAPI also provides support for testing and allows you to easily test your application with tools such as pytest, and it has built-in support for test clients and test cases that can be used to simulate requests and check the response of your application.

It also has a detailed and complete documentation with clear and well-explained examples, making it easy to learn and start using it.

In summary, FastAPI is a powerful and easy-to-use web framework that is well-suited for building high-performance, concurrent, and well-documented APIs. Its use of standard Python type hints and Pydantic makes it easy to validate, serialize, and document your data, and its support for webSockets and popular ORM libraries makes it easy to handle real-time and database-related tasks.

The 10 Most Important Software Design Patterns

Singleton pattern: This pattern ensures that a class has only one instance, and provides a global access point to it. The singleton class itself is responsible for creating and managing its own unique instance. This can be useful when a system requires a single instance of a class to coordinate actions across the system.

Factory pattern: This pattern creates objects without specifying the exact class to create. Instead, it relies on a factory object to create the objects based on a set of input parameters. This allows for a level of flexibility, as the factory object can be changed to create different types of objects depending on the needs of the system.

Abstract factory pattern: This pattern creates objects that belong to a super class, but the objects are created by child classes. This allows for the creation of objects that belong to a particular family, without specifying the exact type of object to create.

Builder pattern: This pattern separates object construction from its representation, allowing for the same construction process to create different representations. This can be useful when creating complex objects that require a lot of setup, as the builder pattern allows for this setup to be done in a more organized and readable way.

Prototype pattern: This pattern creates new objects by copying existing objects. This can be useful when the cost of creating a new object is expensive or time-consuming, and it is more efficient to create a copy of an existing object instead.

Adapter pattern: This pattern allows two incompatible interfaces to work together by wrapping one interface with an adapter. The adapter object translates requests from the first interface into a form that the second interface can understand. This can be useful when integrating two systems that were not originally designed to work together.

Bridge pattern: This pattern separates an abstraction from its implementation, allowing the two to vary independently. This can be useful when it is necessary to modify the implementation of a system without changing the interface that clients use to access it.

Filter pattern: This pattern filters a set of objects using a set of criteria. It can be useful for selecting a subset of objects based on specific properties, such as selecting all objects that are red in color.

Composite pattern: This pattern creates a tree structure of objects in which individual objects and compositions of objects all behave in the same way. This can be useful when it is necessary to treat individual objects and compositions of objects in the same way.

Decorator pattern: This pattern allows additional behavior to be added to an existing object dynamically, by wrapping the object in a decorator object. This can be useful when it is necessary to add new behavior to an existing object without altering its implementation.

TOP 10 programming language

There are the top 10 programming languages that you should learn this year.

Python - Python is a general-purpose programming language that is widely used in scientific computing, data analysis, and machine learning. It has a large and active community, which means that there are a lot of libraries and resources available for Python developers.

Java - Java is a popular programming language that is used for building a wide range of applications, including web, mobile, and desktop applications. It is popular because it is easy to learn, has good documentation, and runs on a variety of platforms.

C++ - C++ is a high-performance programming language that is widely used in systems programming, such as operating systems, drivers, and embedded systems. It is popular because it is fast, efficient, and has a large standard library.

C# - C# is a popular programming language that is used for building Windows applications, as well as web and mobile applications. It is popular because it is easy to learn, has good documentation, and is part of the .NET ecosystem.

JavaScript - JavaScript is a programming language that is commonly used for building web applications. It is popular because it runs natively in web browsers, which means that it can be used to build interactive front-end applications.

PHP - PHP is a programming language that is commonly used for building web applications. It is popular because it is easy to learn, has good documentation, and is supported by a large number of hosting providers.

Swift - Swift is a programming language that is used for building iOS and macOS applications. It is popular because it is easy to learn, has a modern syntax, and is well-supported by Apple.

Go - Go is a programming language that is designed for building distributed systems and web servers. It is popular because it is fast, efficient, and has a simple syntax.

Ruby - Ruby is a programming language that is commonly used for building web applications. It is popular because it has a simple syntax, is easy to learn, and has a large and active community.

Kotlin - Kotlin is a programming language that is used for building Android applications. It is popular because it is concise, expressive, and has good support for functional programming.