Flask Asyncio Tutorial


The asyncio library's event loop is wrapped into an Application object, which handles most of the orchestration work. Stay ahead with the world's most comprehensive technology and business learning platform. Future class. It was created by Guido van Rossum during 1985- 1990. Learn about installing packages. If any awaitable in aws is a coroutine, it is automatically scheduled as a Task. So far, this is the only tutorial on websockets that I have gotten to work. Make sure you instal it into a Virtual Environment. Updated on April 13th, 2018 in #docker, #flask. The examples below are for Python 2. Random psychedelic art made with PIL. Our mission is to take middleware to the next-level - the IoT. asyncio Recipes starts with examples illustrating the primitives that come with the asyncio library, and explains how to determine if asyncio is the right choice for your application. In this article, we will see how to create RESTful APIs in Flask using Flask-RESTful. cx_freeze couldn't find all modules so I had to help by including the missing ones directly in the application. uvloop has been making waves in the Python world lately as a blazingly fast drop-in for asyncio’s default event loop. The main reason for that, was that I thought that was the simplest way of running Linux commands. JS or Socket. Here are the examples of the python api flask. The asyncio module provides infrastructure for writing single-threaded concurrent code using coroutines, multiplexing I/O access over sockets and other resources, running network clients and servers, and other related primitives. After deprecating some Public API (method, class, function argument, etc. 示例 Python在Azure Machine Learning Serivce 模型训练, 调优 3. Flask-SocketIO is a python package that is available for download using. Easy to write asynchronous code. It supports cooperative waiting on subprocesses. Getting Started with aiohttp Before we go into how we can use aiohttp to create a simple RESTful API, it’s important to know exactly what the framework is and what it can do for us. To keep performance up, I selected asyncio-based pyGrowler based strongly on Flask) and augmented it with uvloop. asyncio (and libraries that are built to collaborate with asyncio) build on coroutines: functions that (collaboratively) yield the control flow back to the calling function. This tutorial will show how to properly dockerize a web application written in Flask. 96), as it was explicit in nature compared to Ruby on rails in 2003-4. A fork of Flask to support asyncio. It is built on V8 JavaScript Engine makes it fastest code execution library. The communcations of the websocket are run in a main coroutine, which is run by an event loop. Connection pooling. Make sure you instal it into a Virtual Environment. But it’s easier than you might think, and with Python 3. There are three libraries available that allow you to combine Python and Kdb: Daniel Nugent's Q, qpy and PyQ. com has ranked N/A in N/A and 7,971,933 on the world. Keep up to date with Rails on Twitter and This Week in Rails. coroutine() function. Tip: this is an ASGI-based framework, so you'll also need an HTTP server with ASGI support. Take CSV files for example. It requires almost no basic prior knowledge of Node. Flask tutorials. This is the twenty second installment of the Flask Mega-Tutorial series, in which I'm going to tell you how to create background jobs that run independently of the web server. Much of the Python ecosystem already uses urllib3 and you should too. Web Automation can save you time, money and increase productivity in the workplace. Running Tasks Concurrently ¶ awaitable asyncio. urllib3 is a powerful, sanity-friendly HTTP client for Python. Faust is a stream processing library, porting the ideas from Kafka Streams to Python. The main. Browse The Most Popular 74 Sqlalchemy Open Source Projects. In this article, we learned how to write database code using SQLAlchemy's declaratives. The Flask Mega-Tutorial。 这个就是《Flask Web开发:基于Python的Web应用开发实战》的原始博客。. AMQP 0-9-1 Overview and Quick Reference. Follow the latest trends in technology and standards while at the same time learning about design and development principles. Whenever we talk about python frameworks Django strikes quickly in our mind. REAL PYTHON Packaging Python Inside Your Organization. aiohttp server supports it in the following way: A server inherits the current task's context used when creating it. sanic - Python 3. Wrapping it as a microservice that can scale and perform. The objective of this post is to explain how to create a simple Python websocket client to contact an online test echo server. Grole is a python (3. 5 utilizando asyncio. There is also a more detailed Tutorial that shows how to create a small but complete application with Flask. Use the Python gRPC API to write a simple client and server for your service. Python3, asyncio, API design. It useful to be able to spawn a thread and pass it arguments to tell it what work to do. asyncio is used as a foundation for multiple Python asynchronous frameworks that provide high-performance network and web-servers, database connection libraries, distributed task queues, etc. What other alternatives do you have? * SOAP (also works on top of a web server) * RPC * ZeroMQ-style (a opinionated messaging transport) *. 2; How a middleware may store a data for using by web-handler. The python-socketio package works for any WSGI framework, and also for aiohttp and sanic under Asyncio. SUBSCRIBE to see more of my Videos & hit that LIKE button to support the channel! Hi All, In this tutorial we are going to be looking at how you can define and work with Tasks within Python's. An example of this is Flask. Sanic is made for Python 3. Policy for Backward Incompatible Changes¶. BaseCache class. Watch it together with the written tutorial to deepen your understanding: Hands-on Python 3 Concurrency With the asyncio Module Async IO is a concurrent programming design that has received dedicated support in. 3, but the procedure is the same for any modern version of Python. 後で見るとマークしている情報へのリンク集です。. It's intended for getting started very quickly and was developed with best intentions in mind. Starting from Python 3. We'll both accept and return JSON, and Flask-RESTful takes care of most of this for us. With things like automatic Swagger documentation for endpoints, out of the box CORS and websockets, your front-end team will be happy to work with Guillotina. 5 added some new syntax that allows developers to create asynchronous applications and packages easier. You can memorize the Correlation-ID throughout the lifecycle of a request without explicitly … Continue reading Flask-like "global" request context in Sanic (asyncio). Dask is open source and freely available. We will also learn how to validate that user input and notify the user if the. Updated on April 13th, 2018 in #docker, #flask. Some of the code used is not compatible with version 2. 13-dev, which is not released yet. There are several libraries in Python for doing asyncio including the builtin asyncio module, Twisted, which the initial implementation of BitTorrent was written in, the Tornado web server, and more. Uses coroutines to make async code clear and easy to read. 该信息通过每5秒轮询几个外部API来在后台进行聚合. GitHub - realpython/discover-flask: Full Stack Web Development with Flask。 2. Learn about installing packages. sleep in the examples above. Routing: Requests to function-call mapping with support for clean and dynamic URLs. Asyncio SSE; Flask SSE; Python speed of program; Python Virtual Environment - virtualenv; Queue Module; Raise Custom Errors / Exceptions; Random module; Reading and Writing CSV; Recursion; Reduce; Regular Expressions (Regex) Searching; Secure Shell Connection in Python; Security and Cryptography; Set; setup. coroutine() function. Server Sent Events (SSE) is a unidirectional connection between a server and a client (usually a web browser) that allows the server to "push" information to the client. Warning: Unexpected character in input: '\' (ASCII=92) state=1 in /homepages/0/d24084915/htdocs/ingteam/w180/odw. install(‘picoweb’) upip. Threaded Asynchronous Magic and How to Wield It. Python has evolved since Flask was first released around 8 years ago, particularly with the introduction of asyncio. ) the library guaranties the usage of deprecated API is still allowed at least for a year and half after publishing new release with deprecation. Quickly and easily build, train, host, and deploy models from any Python environment with Azure services for data science and machine learning. iscoroutine(obj) instead. The asyncio module provides infrastructure for writing single-threaded concurrent code using coroutines, multiplexing I/O access over sockets and other resources, running network clients and servers, and other related primitives. At a low level, you can access the basic socket support in the underlying operating system, which allows you to implement clients and servers for both connection-oriented and connectionless protocols. You can use asyncio. python-socketio¶. Tip: this is an ASGI-based framework, so you'll also need an HTTP server with ASGI support. Flask's system is a bit more sophisticated than this example, but the idea of using thread locals as local session storage is nonetheless the same. flask_test_client - The instance of the Flask test client currently in use. In the first tutorial we wrote programs to send and receive messages from a named queue. So I've had an idea running around my head for a while, and I decided to finally do something about it and try it out. coroutine decorator to use new types. Dive into Diversity, 파이콘 한국 2018. Manage transactions (and savepoints). asyncio是Python 3. Pull off crazy trick combos to boost your speed and beat the clock to complete any of Commander Dask. flower - Real-time monitor and web admin for Celery. 3 Python has always been known as a slow language with poor concurrency primitives. Beazley’s live demo hacked up asyncio replacement is twice as fast as it. PyPy is a fast, compliant alternative implementation of the Python language (2. 5, natively supports asynchronous programming. The problem is forecasted to get worse. When you run the program, the output will be: The age is: 25. In order to use Redis with Python you will need a Python Redis client. I’m too stupid for AsyncIO August 2017, 8 pages. aiohttp · PyPI pypi. Flask tutorials. Welcome to part 18 of the intermediate Python programming tutorial series. This website contains a free and extensive online tutorial by Bernd Klein with material from his live Python courses. Since a JSON data type is only available in some database versions , we had been dealing with this by using the json package to convert json objects into. Use the Python protocol buffer API to write and read messages. It's easy to learn, quick to implement, and solved my problem very quickly. Python's async framework is actually relatively simple when you treat it at face value, but a lot of tutorials and documentation discuss it in minute implementation detail, so I wanted to make a higher-level overview that deliberately. The system was implemented in Pythons web micro-framework Flask. com/pgjones/quart) is a Python ASGI web microframework with the same API as Flask. The nature of this example is to demonstrate one way to handle a longer task within Quart, along with an example of how to show the progress of that task, without blocking or slowing down user interaction. Stay ahead with the world's most comprehensive technology and business learning platform. Start with Flask, switch as necessary. You've got all the tools you need. aiohttp is the implementation of HTTP with AsyncIO. For example, you really. From REPL prompt of micropython, install picoweb. In case you ever need to determine if a function is a coroutine or not, asyncio provides the method asyncio. Emphasise the Flask documentation It is comprehensively better than the Quart docs, hence it should be emphasised to new users. Subprocess. HTTP server with python/flask, P2P Tutorial book for Python beginner with online video lectures. 4, and with each subsequent minor release, the module has evolved significantly. Seeing asyncio as a framework is confusing because you see the loop as the "app singleton", and start to assume things like:. ) the library guaranties the usage of deprecated API is still allowed at least for a year and half after publishing new release with deprecation. coroutine decorator does. Stackabuse. To keep performance up, I selected asyncio-based pyGrowler based strongly on Flask) and augmented it with uvloop. eve - REST API framework powered by Flask, MongoDB and good intentions. I have a new toy project called Letters from a Feed. Python provides two levels of access to the network services. "Browsable api" is the primary reason why developers consider Django REST framework over the competitors, whereas "Lightweight" was stated as the key factor in picking Flask. For those who didn't follow AsyncIO news, aiohttp. asyncio is an implementation of an event loop that coroutines can be scheduled on; async and await are keywords added for convenience sake to make coroutines easier; asynchronous programming with asyncio means "single threaded concurrency" That last point is really key: with asyncio only one thread is in play. It is intended to provide the easiest way to use asyncio functionality in a web context, especially with existing Flask apps. websockets¶. sleep in the examples above. Seeing asyncio as a framework is confusing because you see the loop as the "app singleton", and start to assume things like:. all existing code will work as-is. To keep performance up, I selected asyncio-based pyGrowler based strongly on Flask) and augmented it with uvloop. Sanic is a Flask-like, uvloop-based web framework that’s written to go fast. Quickstart for Python/WSGI applications¶. What that means is that it is possible that asyncio receives backwards incompatible changes or could even be removed in a future release of Python. Lecture: There is no async support for Flask Learn more about this course It does not support asyncio. asyncio module was adapted and tested to work with coroutines and new statements. 6+ to enable lightweight inter-process communication, based on non-blocking asyncio. 8 defaults to an event loop that is not compatible with Tornado. The objective of this post is to explain how to create a simple Python websocket client to contact an online test echo server. This projects implements Socket. Posts about asyncio written by antepher. A community where fellow mobile, web & software developer come to learn and share their knowledge with each other. 欢迎阅读 Flask 文档。 本文档分为几个部分。我推荐您先从 安装 开始,之后再浏览 快速入门 章节。 教程 比快速入门更详细地介绍了如何用 Flask 创建一个完整的 应用(虽然很小)。. access is used, access logs will now. 34 Replies. Parallelising Python with Threading and Multiprocessing One aspect of coding in Python that we have yet to discuss in any great detail is how to optimise the execution performance of our simulations. Subprocess. Create your profile to customize your experience and get involved. The Gunicorn server is broadly compatible with various web frameworks, simply implemented, light on server resources, and fairly speedy. So I hope that Quart and Flask keep the same API and with some (a lot probably) thought they can merge back into one. If you'd like to read more about Asynchronous Python for Web Development, we've got it. Flask is intended for getting started very quickly and was developed with best intentions in mind. Quote:i wonder what it would take to make my web server be WSGI compliant. Welcome to Flask¶ Welcome to Flask’s documentation. Sanic is a Python 3. Sehen Sie sich auf LinkedIn das vollständige Profil an. Flask-aiohttp adds asyncio. 96), as it was explicit in nature compared to Ruby on rails in 2003-4. Like I said, I haven’t done a ton with it. In this tutorial we’ll be building a very simple RESTful based API using aio-libs/aiohttp which is an asynchronous http client/server framework. Client-side SSL/TLS verification. It is distributed as a single file module and has no dependencies other than the Python Standard Library. Earlier versions of Python 3 can use generator functions wrapped with the asyncio. Check out my earlier tutorial if you need help with this step. Learn how to run Python web servers, and how WSGI servers come into play. 5 introduced new language features to define such coroutines natively using async def and to yield control using await, and the examples for asyncio take advantage of the new feature. Tarek Ziadé. Connection pooling. I arrived at it by reading this lovely hands-on tutorial: gevent for the Working Python Developer, written by an awesome community of users, a great introduction not only to gevent but to concurrency in general, and you most definitely should check it out. Quickly and easily build, train, host, and deploy models from any Python environment with Azure services for data science and machine learning. The simplest way to use a Thread is to instantiate it with a target function and call start() to let it begin working. Celery is perfectly suited for tasks which will take some time to execute but we don. This article is the second part of a series on using Python for developing asynchronous web applications. Flask-Caching is an extension to Flask that adds caching support for various backends to any Flask application. PIPE in python. Python 是一门简单易学且功能强大的编程语言。它拥有高效的高级数据结构,并且能够用简单而又高效的方式进行面向对象编程。. Sehen Sie sich auf LinkedIn das vollständige Profil an. It is built on V8 JavaScript Engine makes it fastest code execution library. flask-api-utils - Taking care of API representation and authentication for Flask. 6+ to enable lightweight inter-process communication, based on non-blocking asyncio. In this tutorial I will demonstrate how to build a single threaded non-blocking limit order book exchange. 7 asyncio has gotten a few upgrades in its API, particularly around managing of tasks and event loops. install(‘picoweb’) upip. Here are the examples of the python api asyncio. The Flask Mega-Tutorial。 这个就是《Flask Web开发:基于Python的Web应用开发实战》的原始博客。 500lines. this is an example of a non-blocking coroutine that waits 'in the background' and gives the control flow back to the calling. Once you have been through the tutorials (or if you want to skip ahead), you may wish to read an Introduction to RabbitMQ Concepts and browse our AMQP 0-9-1 Quick Reference Guide. 0开篇Flask mega-tutorial(Flask超级教程) 08-01 阅读数 1856. I don't understand Python's Asyncio. W3Schools is optimized for learning, testing, and training. com Async/await. Built on top of asyncio, Python's standard asynchronous I/O framework, it provides an elegant coroutine-based API. AMQP 0-9-1 Overview and Quick Reference. Number of supported packages: 583. GitHub Gist: instantly share code, notes, and snippets. According to the documentation asyncio “provides infrastructure for writing single-threaded concurrent code using coroutines, multiplexing I/O … Continue reading Python 3 – An Intro to asyncio →. The friendly PIL fork. 8 out of 5 stars 18. 5, which makes your code non-blocking and speedy. this is an example of a non-blocking coroutine that waits 'in the background' and gives the control flow back to the calling. Emphasise the Flask documentation It is comprehensively better than the Quart docs, hence it should be emphasised to new users. 1, and works with Python 2. Introspect tables, columns, indexes, and constraints. asyncio Recipes: A Problem-Solution Approach Easy to follow with step-by-step tutorial and examples. by Miguel Grinberg. Play and Record Sound with Python¶. uvloop is released under the MIT license. Lightweight execution units based on greenlets. Conclusion. Flexible platform for AI and machine learning with Python. Most people will know you best for your Flask Mega-Tutorial and Flask Web Development book, what is it about Flask? Or do you just love teaching? My association with Flask started with a personal project of mine. 但是asyncio的事件循环是单线程的,释放GIL就没有用了,所以几乎一切io阻塞的调用都需要转换成它的异步非阻塞版本。但现aio生态还不是那么完善,当我们不得不调用一个io阻塞函数时怎么办?asyncio中提供了run_in_executor函数(方法?. PyPI helps you find and install software developed and shared by the Python community. And let's not. Home; Fetching records using fetchone() and fetchmany() (Sponsors) Get started learning Python with DataCamp's free Intro to Python tutorial. If the implementation is easy to explain, it may be a good idea. The basics of the mini framework are simple: async by default, and routing is han. One such package is aiohttp which is an HTTP client/server for asyncio. Flask-aiohttp — Asynchronous Flask application with aiohttp. This tutorial provides a basic Python programmer's introduction to working with protocol buffers. Emphasise the Flask documentation It is comprehensively better than the Quart docs, hence it should be emphasised to new users. 如需转载请注明出处。 python后台——asyncio,aiohttp. To keep separation of concerns, we'll separate the API layer from the data layer. Parallelising Python with Threading and Multiprocessing One aspect of coding in Python that we have yet to discuss in any great detail is how to optimise the execution performance of our simulations. It closes the connection when the handler coroutine returns. IO server that is not specific to any framework. Introduction¶ gevent is a coroutine-based Python networking library that uses greenlet to provide a high-level synchronous API on top of the libev or libuv event loop. 2 with Python 3. But Flask-SocketIO is a wrapper around python-socketio, which is a generic Socket. Flask-aiohttp — Asynchronous Flask application with aiohttp. Number of supported packages: 583. asyncio的编程模型就是一个消息循环。我们从asyncio模块中直接获取一个EventLoop的引用,然后把需要执行的协程扔到EventLoop中执行,就实现了异步IO。. I haven’t done much with Quart but it’s kind of like a wrapper around some of the asyncio stuff, but also an API that can run Flask apps. ORG Python Learning Paths Step-by-Step Python learning paths and study plans for beginner, intermediate, and advanced Python developers. The Flask Mega-Tutorial。 这个就是《Flask Web开发:基于Python的Web应用开发实战》的原始博客。 500lines. Python Libraries Available. REAL PYTHON Packaging Python Inside Your Organization. 4 from 2, and guess who is helping their engineers in the process – AsyncIO! Google Above any company, Google has been a super supporter of Python , that too from the very beginning. Given type of objects appeared in python 3. Besides providing support for all of werkzeug’s supported caching backends through a uniformed API, it is also possible to develop your own caching backend by subclassing werkzeug. Server Sent Events (SSE) is a unidirectional connection between a server and a client (usually a web browser) that allows the server to "push" information to the client. 5 Jobs sind im Profil von Vlad E. We are using Flask template to create the Bot Application. Once you have been through the tutorials (or if you want to skip ahead), you may wish to read an Introduction to RabbitMQ Concepts and browse our AMQP 0-9-1 Quick Reference Guide. Sadly I couldn't make that work so instead I kept the Flask-API and built the asyncio parts to make Quart. Writing a REST client in Python. IPython is a growing project, with increasingly language-agnostic components. The bulk of this article will be about how to set up the Gunicorn application server to launch the application and Nginx to act as a fron. In the first tutorial we wrote programs to send and receive messages from a named queue. SUBSCRIBE to see more of my Videos & hit that LIKE button to support the channel! Hi All, In this tutorial we are going to be looking at how you can define and work with Tasks within Python's. What is gevent?¶ gevent is a coroutine-based Python networking library that uses greenlet to provide a high-level synchronous API on top of the libev or libuv event loop. as_completed and asyncio. Overall, the tutorials received very positive feedback. 欢迎使用 Flask¶. com reaches roughly 386 users per day and delivers about 11,593 users each month. Wrapping it as a microservice that can scale and perform. Tutorials Create a TV Show Tracker Using AngularJS, Node. We will stick to the basic functionalities expected of a simple text editor – which includes the ability to – write something on the notepad, save it and open and modify it whenever required. Ruby on Rails has been popularizing both concepts along with a variety of other controversial points since the beginning. Python Grpc Flask. Faust is a stream processing library, porting the ideas from Kafka Streams to Python. sanic - Python 3. Given type of objects appeared in python 3. Keep up to date with Rails on Twitter and This Week in Rails. Zeep is a pure-python module. Summary: Tagged Examples: Examples in a ScenarioOutline can now have tags. After deprecating some Public API (method, class, function argument, etc. Posted by Bob on Sat 31 December 2016 in News • Tagged with 3. This looks really nice, and Flask compatibility is great. While NumPy, SciPy and pandas are extremely useful in this regard when considering vectorised code, we aren't able to use these tools effectively. © MongoDB, Inc 2008-present. Các bạn có thể tự học python qua các bài viết trên website thông qua các bài học và bài tập kèm theo. Summary of Python's SQLAlchemy. With this software, we are able to examine Flask, Django and aiohttp. Tutorials Create a TV Show Tracker Using AngularJS, Node. eve - REST API framework powered by Flask, MongoDB and good intentions. 5, which makes your code non-blocking and speedy. 6 on Ubuntu 18. 如果我们想要创造一种信用数字货币,并且不必以挖矿的方式来增加货币供应,通过信贷扩张能否创造出满足市场需求的信用货币?. I recently gave a talk at PyCon UK in Cardiff about building Quart from Flask and Asyncio. Django REST framework and Flask are both open source tools. Michael #6: Quart: 3x faster Flask. Python 是一门简单易学且功能强大的编程语言。它拥有高效的高级数据结构,并且能够用简单而又高效的方式进行面向对象编程。. aiohttp keeps backward compatibility. WindowsSelectorEventLoopPolicy()) at the beginning of their main file/function. Sanic is a Python 3. The Flask Mega-Tutorial。 这个就是《Flask Web开发:基于Python的Web应用开发实战》的原始博客。. 1, and works with Python 2. Flask-aiohttp — Asynchronous Flask application with aiohttp. Posted on July 2, 2017 by arjo129 • Posted in Tutorials • Tagged asyncio, Python, tutorial • Leave a comment Note: This tutorial only works beyond python 3. I arrived at it by reading this lovely hands-on tutorial: gevent for the Working Python Developer, written by an awesome community of users, a great introduction not only to gevent but to concurrency in general, and you most definitely should check it out. Collect and query Amazon MQ metrics via Amazon CloudWatch and the ActiveMQ Web Console. What that means is that it is possible that asyncio receives backwards incompatible changes or could even be removed in a future release of Python. In most cases, the asyncio library is ideal for IO-bound and high-level structured network code. Check out that tutorial if you are not through on the basics of socket programming in python. Webdev Resources. You can attend one of his courses in Paris, London, Toronto, Berlin, Munich, Hamburg, Amsterdam, Den Haag (The Hague) or Lake Constance. With over 100 lectures and more than 20 hours of video content to learn from, this is one of the most comprehensive programming language courses. Event loop The event loop is the object which execute our asyncronous code and decide how to switch between async functions. Let's look at a simple example in which we need to load three URLs. Quart exists to provide an easy path for existing Flask apps to use Asyncio/async-await features in Python 3. Flask is based on the Werkzeug WSGI toolkit and Jinja2 template engine. Celery: Distributed Task Queue. install(‘utemplate’) Objective: To get the real temperature whenever is request is posted to webserver. 3+ using asyncio. This tutorial will guide you through building the example present in the examples/AsyncProgressBar directory. x was the last monolithic release of IPython, containing the notebook server, qtconsole, etc. this is an example of a non-blocking coroutine that waits 'in the background' and gives the control flow back to the calling. You most know all WSGI specification very good, Armin Ronacher's(Author Flask) did work with this topic for many year first trough Werkzeug and Jinja,. wooey - A Django app which creates automatic web UIs for Python scripts. So I hope that Quart and Flask keep the same API and with some (a lot probably) thought they can merge back into one. Python tutorial Python Home Introduction Running Python Programs (os, sys, import) Modules and IDLE (Import, Reload, exec) Object Types - Numbers, Strings, and None Strings - Escape Sequence, Raw String, and Slicing Strings - Methods Formatting Strings - expressions and method calls Files and os. 5 introduced new language features to define such coroutines natively using async def and to yield control using await, and the examples for asyncio take advantage of the new feature. According to a report published by Nilson, in 2017 the worldwide losses in card fraud related cases reached 22. coroutine() decorator and yield from to achieve the same effect. As a microservice developer, you can just focus on building your views as you would do with Flask. Or bring in pre-built AI solutions to deliver cutting-edge experiences to your Python apps. The Djongo Source Code is hosted on GitHub and the Djongo package is.