Best fastapi book reddit. There's a bit more on this here.

Best fastapi book reddit Anything software QA -related; tools, processes, questions etc. But right now we are doing exactly what the pattern is meant for: breaking up our monolith into microservices, moving from django to FastApi, and I'm so happy I can move a lot of the code intact and just rewrite the db specific parts and replace the Hiya! I'm a professional backend dev who works mainly in Python (and specifically, with FastAPI). Noticed that the alternative is Peewee. Here Are the resources I used to learn Django. Key Features: A practical guide to developing production-ready web APIs rapidly in Python; This book will I think it's because I lack a fundamental understanding of what exactly an API should do, how it should be designed and implemented, etc. So the first two books are syntax and language specifics and the other two are aimed at production-ready levels of Python that would actually pass Actually FastAPI never imports jinja directly - it simply relies on Startlett's implementation for that feature. You should use it as a tradeoff because the other options are worse. e. Either you do Django because you need all that stuff or you don't and then you use fastapi for APIs and Starlette if you would otherwise have used flask. I was wondering if you know a tutorial/book that explains from scratch (zero to hero). NET developer and have skated through my career so far making minor bug fixes. The application will feature user login capabilities, interaction with a database, and other typical enterprise functionalities. net. Afaik, PHP has evolved a lot and it's much better now. Just from searching around online, it looks like this is a great video series on Quart . What is this book about? FastAPI is an Asynchronous Server Gateway Interface (ASGI)-based framework that can help build modern, manageable, and fast microservices. I like Elixir quite a lot as a language and community. After that I would look into what each part of the code is actually doing. You either need to set up some annoying crap (checks for the existence of the db objects) to make it work in such a way that the script can be re-used to initiate a db on say a fresh instance or a development environment, or do something weird like deploy a Corey Schafer’s Flask series took me around 6 weeks to finish and deploy. ニュー速R（ニュース速報@Reddit）は様々なニュースや話題を扱う掲示板（サブレディット）です。 Newsokur (Breaking News on Reddit) is a subreddit for Japanese news and various other topics. That is again related to the fact that framework gives you absolute I realise this is bordering on unhelpful, but you should probably read up on a few of them. Alembic has issues if you try to set up your initial migration and there are tables / other db objects already there. FastAPI Book: There are discussions about a comprehensive FastAPI book available on Reddit, which can be a great resource for in-depth learning. Even an O’Reilly book and a fairly active subreddit Structured concurrency with async | Absent. If you have questions or are new to Python use r/learnpython FastAPI has great support for quickly testing your endpoints from inside the browser, which is awesome. When it comes to concurrency it is often the best tool for the job. Hi, I started to learn FastAPI, but the official tutorial doesnt have a basic NoSQL section. With this book, you'll be able to create fast and reliable data science API backends using practical examples. The factory pattern with dependency injection has a lot of benefits for a FastAPI project. ai and gave it a try. js + PG db Haven't heard anything about the Hwy framework before. Django is kinda full-stack focused although you have things like Django rest framework. This book starts with the basics of the FastAPI framework and associated modern Python Interesting, been involved in two projects recently, one FastAPI and one Flask, old school celery backends for React. g. The tutorials should be enough to get you started, and feel free to ask any questions if you encounter difficulties along the way! The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. Look for projects with recent commits and a decent number of stars for quality assurance. Same usw case but async and it's what fastapi uses under the hood. Quick peek out there I think it will be one of these for rewriting my current monolithic to microservices wit FastAPI (hobby level). motor has no type annotations at all, it's quite inconvenient to use directly, so I ended up creating a small utility project (fastapi-motor-oil) to improve the developer experience. Courses/books to get into Generative AI (GenAI)? Looking to get familiar with tools like Langchain, vector databases, LLM APIs etc. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more. Hey, guys, for anyone who might benefit (or would like to contribute) FastCRUD is a Python package for FastAPI, offering robust async CRUD operations and flexible endpoint creation utilities, streamlined through advanced features like auto-detected join conditions, dynamic sorting, and offset and cursor pagination. By the end of this FastAPI book, you Being a person who had to think alot to decide what ORM or Auth to use or should I just write my own when using Fastapi , I totally get that fastapi isn't really mature yet, but given the number of companies keep taking it up, specially when they end up following a microservices architecture ( it is really easy then as django's templating is Typescript + Bun + Hono + Tailwind + HTMX + JS/alpine. I've used both and personally have preferred FastAPI. The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. x which is not ideal. FastAPI is a web framework for building APIs with Python 3. 6+, Pydantic, SQLAlchemy, databases(the poorly named python library, not the concepts of a database), type hints, and all the other dependencies of the framework. I have moderate Django and FastAPI knowledge - wrote a lot of APIs, developed back-ends. . I wrote a book building APIs with Python and contains examples with both FastAPI and Flask (the book is Microservice APIs) and I have tutorials for both frameworks on my YouTube channel (e. I'm currently using starlette. Deploy them across mobile, desktop, VR/AR, consoles or the Web and connect with people globally. They don't trust mocked versions of volatile services like databases, and feel they get better coverage of potential problems with a stronger focus on integration/manual tests. Here’s a curated list of some of the most highly recommended books that can help you deepen your understanding of FastAPI. If you have something to teach others post here. To be fair, the article is from 10 yrs ago. For FastAPI projects with proper db connections and directory structures, GitHub is your best bet. 6+ based on standard Python type Long story short: People who adopt this view are more likely to write more integration tests or perform more manual tests. At least one accessibility-focused non-commercial third party app will continue to be available free of charge. The book begins by familiarizing you with the basics of setting up and configuring your FastAPI environment before moving to the intricacies of building RESTful APIs, managing data with SQL and NoSQL EDIT: correction, flask-restful is still getting commits. Stars. My latest article provides an overview of Python libraries and contains a list of all of the most relevant libraries that I know of for Civil and Structural engineering. You're probably going to have a reverse proxy in front of your uvicorn/gunicorn setup anyway, and NGINX or HAProxy are a lot more This book will help you leverage FastAPI’s immense potential to handle high-traffic scenarios and integrate seamlessly with modern Python tools. It’s fast, easy to set up, well documented, sets up API documentation automatically, and I had so few issues with request models unlike with Flask. It takes you through a large project, building the business logic for an internet retail app as individual microservices. Hello , I know there is official documentation of FastAPI , which teaches a lot in great stuff manner but I wanted to know some extra resources for For artists, writers, gamemasters, musicians, programmers, philosophers and scientists alike! The creation of new worlds and new universes has long been a key element of speculative fiction, from the fantasy works of Tolkien and Le Guin, to the science-fiction universes of Delany and Asimov, to the tabletop realm of Gygax and Barker, and beyond. With this practical book, developers familiar with Python will learn how FastAPI lets you accomplish more in less time with less code. About. Net Architectural style, but rarely found in "Clean" templates/talks/examples, but something like MediatR Since using FastAPI I have enjoyed literally everything about it. Although fastapi delivers on the "fast" and "rest api" quite well. There are plenty of good example projects or mature projects written using Flask but i have been having a hard time finding some good examples for FastAPI that uses MongoEngine as the database layer. nice types-based clean syntax, and Django's awesome collection of 3 Discover FastAPI features and best practices for building and deploying high-quality web APIs from scratchKey Features• A practical guide to developing production-ready web APIs rapidly in Python• Learn how to put FastAPI into practice by implementing it in real-world scenarios• Explore FastAPI, its syntax, and configurations for deploying applicationsBook The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. 2M subscribers in the Python community. --- If you have questions or are new to Python use r/LearnPython Posted by u/cant-find-user-name - 36 votes and 22 comments Svelte is a radical new approach to building user interfaces. They have guides for Nest, Next, and pretty much every other solution. This book as by far done the best job of anything I've read in giving the most complete picture ofthe human experience ad possible. However, I am unable to understand how to deploy FastAPI + HTMX, with a bit of AlpineJS for building richer UIs is my favorite combination these days! Very enjoyable to build, manage and works well with jinja2. Eventually I came across with fast. Look for a tutorial on the requests library and read the documentation of the API. How much of programming do you now? I would recommend FastAPI because documentation is top notch and it's a good walkthrough of many backend topics like swagger, authentication, ORM. When it comes to finding the best resources for learning FastAPI, Reddit is a treasure trove of recommendations from experienced developers. 131 votes, 114 comments. If you have to scale go for fastapi, pydantic, sql_alchemy because of the extensive asynchronous support. amazon. 1. If you're feeling real adventurous you can try out actix in rust. --- If you have questions or are new to Python use r/LearnPython The magic of asynchronous code is, because of the coroutines get_reddit_top running concurrently, In conclusion, FastAPI is a fast web framework with support for asynchronous code and has very good There's two ways to having a FastAPI-like framework with a DjangoAdmin-like utility. Full stack, modern web application template. 8 and thinking everything would run. I would recommend it, especially if you're looking for the Swagger/OpenAPI style docs and to take advantage of python's async capabilities. ipynb books pretty well PyCharm (community is free) requires the paid Professional I recommend frameworks like Flask and FastAPI. ; Deploy a Dockerized FastAPI App to Google Cloud Platform - A short guide to deploying a Dockerized Python app to Google Cloud Platform using Cloud Run and a SQL the book is a work in progress because we are re-arranging it and changing the flavor to be a bit more conceptual than the book the publisher wanted, but it is readable and has some decent content it starts with a review of hypermedia, then looks at using htmx in a simple python environment, and then looks a HyperView, a mobile hypermedia This is great feedback. looking forward for your response Thanks. FastAPI - web framework for building APIs with Python 3. Speaking of breaking in, I have found it quite challenging to break into cyber in general with little to no real world experience -- this is from someone with a master's degree in cyber and several mid-level GIAC certs and a Sec+. - fastapi/full-stack-fastapi-template Couple of things to note about OR: Firstly, a lot of people tend to equate OR to mathematical optimization, and while that is the cornerstone of the discipline, for decades now OR has been spending a good amount of time focused on statistics, forecasting, and more recently ML. Learning sqlalchemy syntax and learning SQL database concepts are two very different things and you should learn both. Downside is that you have to do everything yourself, including database setup, you have to take care of security yourself etc. co. After your done following along with something like this. Please post any good sites. In both cases missed the Django soooo much =(FastAPI feels like Flask a lot. NoSQL with FastAPI Questions . It was easier to do our api using django-ninja and keep the admin than it was to get a good admin going for FastAPI. You probably want to understand what an API is before you read it and you may get more out of it if you have some experience either consuming or writing APIs but it's not a dense book and I don't recall there being much if any in terms of code I'm in the early stages of planning a full-stack application and have decided to use FastAPI for the backend. The author built another tool called starlette, which I really like and I am using. Most of the courses are for beginner levels, but I want to learn deep technicalities for mastering the framework. And there are parts of the FastAPI documentation where it tells you to go see Starlett''s documentation. The docs seem to assume you are already an expert with Python 3. FastAPI provides a comprehensive and user-friendly documentation that serves as a vital resource for developers. Also async web interface of fastapi with sync sqlalchemy+psycopg2 is not the best combo. (Although the session auto commit at the high level router function is something I disagree with, as it’s a low level transaction, but that’s a minor gripe). 3. Navigation Menu Toggle navigation. but I've heard that We would like to show you a description here but the site won’t allow us. FastAPI is a young yet solid framework that takes advantage of newer Python features in a clean design. 116 stars. There's a bit more on this here. You’ll also be introduced to the extensive ecosystem of Python data science packages. -----We have a Discord server come and chat with other clay enthusiasts! Here are some of the best FastAPI books that provide comprehensive insights and practical examples to help you master this powerful framework. However, I want to jump to the next level, to learn best practices, most efficient techniques and such. I like to have the power of Erlang and the nice syntax of Ruby and Python, but I fear that the only framework for web development in Elixir that has good support is Phoenix, while in Python you can find Django, webpy, but you also have well supported options with specific use cases like Flask, Starlette, FastAPI and so on If you are an experienced python developer, best practices with FastAPI is definitely async def. Steinbeck said that he put everything he had into that books, and it shows. Both packages ended up much bigger and more complex than alternative django+drf might have been (or maybe it is just lack of experience with those I just went through and tried to find the best solutions for a complete flow (frontend and backend). FastAPI is slim and it can be tailored according to your needs. They have different tradeoffs, and you're in the surprisingly helpful position of having already tried doing this the hard way, so having a pretty good idea of which things were hard and which were easy, and reading through the documentation I bet you'll recognise "ah, I had that problem - and I Some other popular ASGI frameworks are Starlette, Litestar, and probably most "popular", FastAPI (built on top of Starlette). This book will show you how FastAPI, a high-performance web framework for building RESTful APIs in Python, allows you to build robust web APIs that are simple and intuitive and makes it easy to build quickly with very little boilerplate code. Because of its asynchronous core platform, this ASGI-based 9. Yes, it’s worth it. If you want to express your strong disagreement with the API pricing 134 votes, 41 comments. Rough estimation on jobs posted at upwork, shows that FastAPI is getting more popular, indeed. If you’re at a startup then 🏵 Welcome to r/Pottery! 🏵 -----Before posting please READ THE RULES!!!!-----We have a Wiki with Frequently Asked Questions - before you post a question that gets asked a lot, please check here first. You can start with only sqlalchemy without learning how SQL databases work and get pretty far, but eventually you will shoot yourself in the foot and regret it. It contains the source code, documentation, and various resources that facilitate the use of FastAPI. I have in the past done the simply wrapping the model in a rest endpoint with FastAPI & Pydantic and had moderate results. true. The documentation is structured to facilitate easy navigation through various topics, ensuring that users can quickly find the information they need. However, I'd go with Django Ninja as it gives access to both of the worlds (i. Use Unity to build high-quality 3D and 2D games and experiences. Hello, all I’ve been doing quite a bit of research into understanding a relatively “best-practices” approach for serving up a PyTorch model. RESTful web services are commonly used to create APIs for web-based applications owing to their light weight and high scalability. Unity is the ultimate entertainment development platform. I'm not too different myself. If you aren't comfortable with async patterns in python, use sync methods and scale horizontally. Use FastAPI and add a compatible admin panel (FastAPI + sqladmin) Use a Django-based framework that works like FastAPI with Pydantic models (Django Ninja) They both good solutions. As you progress, you’ll learn how to build data science applications in Python using FastAPI. The term "Clean Architecture" is interesting is that people read it as "best practice architecture" when in reality it is often promoting a specific style (with similar dependencies). By the end of this course, you will have built production ready RESTful APIs, a Im a very average . You're trying to use the string as an argument to db. The official Python community for Reddit! Stay up to date with the latest news, packages, and meta The FastAPI GitHub repository serves as a central hub for developers looking to contribute to or utilize FastAPI in their projects. For smaller projects flask-restful is still probably a good option. Book Description. Sign in Product FastAPI Python modules for the site's top Web layer. I think FastAPI would be the best out of them all. If you're comfortable spending money, Pluralsight is the place to be at, they have a trial period as well. Just a heads up, the deployment procedure he used is kinda tedious. I found that Supertokens was the best solution for my project. --- If you have questions or are new to Python use r/LearnPython Then I tried out FastAPI and it’s the best for me in every conceivable way. For free resources Little ASP. Here is what I did: On linux, ran a ddns client with a free service (), then I have a domain name pointing at my local hardware. --- If you have questions or are new to Python use r/LearnPython Code is pretty good and can render . I have built an API using FastAPI and a MySQL database. This is the course I recommend the most to people wanting to learn how to create real deep learning models. This is important to get the most out of it. Jinja is more integrated to Flask than to FastAPI and Flask has way more plugins. SQLAlchemy - Object Relational Mapper Pydantic - Data validation library for Python and FastAPI models Uvicorn - ASGI web server implementation for Python Python is widely touted as "the second best language for everything. Hi there. I think the learning curve on Litestar is a little bit steeper for people new to API frameworks, but that’s because Litestar offers a lot more flexibility and customization, along with some unique features like DTO’s. As long as it's relevant you can post or ask whatever you like. You could consider this a book, a course, the official and recommended way to learn FastAPI. Hi,I am completely new to this technology. I'd like to find a quality book that I can dive into to get a deeper understanding of this (hoping that a solid book will be a straighter path than piecing things together by reading tons of articles) I'm looking for suggestions on the best React + FastAPI tutorials. Because of its asynchronous core platform, this ASGI-based Checkout Jooby in java, fastapi in python, fiber in go, and definitely express in js. Learning a new ORM from scratch was not very compelling to be honest. Use Starlette instead. Members Online What would you love to learn in an intermediate / advanced FastAPI book? We would like to show you a description here but the site won’t allow us. then on my router i forwarded the ports i needed (ssh/api ports). Spam is forbidden. Whereas traditional frameworks like React and Vue do the bulk of their work in the browser, Svelte shifts that work into a compile step that happens when you build your app. p. Flask and FastAPI). Engaging with the FastAPI community on Reddit can provide valuable insights and support. The best combo I see from job requirements is: Spring or spring boot Python framework of your choice (Django, flask, fastapi) JS framework of your choice (Angular, react, vue) and you’re cashing out. From all 3, the best balance between performance and developer experience, is hands down in Micronaut. I want to share that I interacted with various courses/tutorials/books around internet and Fast AI was best at explanation of this subject. uk/Building-Data-Science-Applications-FastAPI/dp/1801079218 Each part is dedicated to adding some small component to a fake cleaning marketplace API. Yes you can and no it doesn't. Although I'm primarily a backend developer, I'm exploring the best front-end technologies to pair with FastAPI. Synchronous endpoint methods are executed using the thread pool as mentioned, and IIRC each time an endpoint is called, it spawns a thread. However I still include it here because it’s still missing a lot of features that are important reasons why flask-restplus and FastAPI are compelling alternatives. Thread pool is an asyncio future to temporary create additional threads to execute sync IO-operations code inside of them (to not block main thread where event loop lives). Here are the introductory sections and the tutorials to learn FastAPI. Fastapi works inside asyncio event loop. I've been building my own mostly from tutorials here and there but they don't always piece together the big picture so I figure reading through a codebase would be good practice. Companion for the O'Reilly book "FastAPI: Modern Python Web Development" Resources. (books that changed your life, enjoyed so much, or you feel that everyone should read) Even writing tests for your FastAPI application will be much much trickier. For Engineers interested in exploring Python's potential, I write a free newsletter about how Python can be leveraged for structural and civil engineering work. For example Vertical Slice is another currently popular . Again, fastapi is for microservice architecture, django is monolith, in my experience, django is very stable, durable, it provides right way but if you need asyncronous tasks, it becomes complex I am new to development and Ai and I am in difficulty of learning the fastApi can anyone of the senior here can tell me a good platform to learn fastApi. As an approach, I would suggest reviewing a handful of "best practice" web articles along with the Stripe API docs, which are pretty much the gold standard for an idiomatic REST API. I used to use ApiStar, but the author changed direction quite a bit. Plus there's a concern that since you need to learn js anyway to do any web dev then there's a better business case for just using it Next to the sql/orm discussion, great resource! The only thing I always have with these tutorials is that it gives a good insight in what you might need when building something by yourself, but the amount of information is so overwhelming. Learn how to BUILD and DEPLOY FastAPI applications from scratch! Including RESTful APIs and Full Stack applications!---FastAPI and Python are two of the hottest technologies in the market for building high performing APIs. Don't use flask in 2023. This book offers a thorough exploration of FastAPI, covering everything from the basics to advanced features. ai's super popular Practical Deep Learning for Coders course was just put online today. (FastAPI wins easy, but almost all examples online of FastAPI are hilariously blocking examples, which don't benefit from async) Look no further than FastAPIs docs if you're wondering why people think FastAPI is faster and of having 'best things about all the other framework '. Errors that clearly would not run. It has become my go to API framework hands down! So I put together a course that really demonstrates how "Fast" FastAPI really is. Skip to content. FastAPI Official Documentation: The best place to start is the official documentation. There was a general consensus that the official FastAPI documentation is a great primary resource for learning the framework. Learn how asyncio works, read some book. FastAPI is perfect for APIs (who knew) but has less focus on integrating the front-end like Flask does. for the server, early, we just used oobabooga and the api & openai extensions. There are certainly a few gotchas, and there are some best practices that aren’t well documented, but asyncio is a powerful tool. It leverages standard Python type hints to provide automatic interactive documentation and validation, making it suitable for production use. I skimmed a couple of the top books on Amazon and they want to also discuss SOAP and HATEOAS -- things you rarely run into anymore. Hands down the best DX of all three. Companion for the O'Reilly book "FastAPI: Modern Python Web Development" - madscheme/fastapi. Readme Activity. FastAPI is a modern, high-performance web framework for building APIs with Python, designed to be easy to learn and fast to code. session. I’ve been handed a brand new project of building an API from scratch. It's also quite lengthy compared to other resources out there for comparable web frameworks. Here are some of the best FastAPI books that provide comprehensive insights and practical examples to help you master this powerful framework. First step, This three books 📚 (I highly recommend those I didn’t found Book Description. Can anyone recommend on NoSQL that works well with FastAPI ? comments sorted by Best Top New Controversial Q&A Add a Comment The completely new version of Fast. NET, I am yet to finish it though. I ended up using Django + django-ninja (REST Framework that reproduces fastAPI behaviour on Django project). Been a while since I've read it (this is a very old thread lol) but I don't recall it being very technical. Never json. Async/await was second nature to me because of my JS background. I am thinking of using the FARM (FastAPI, React, MongoDB) stack for a project i plan on building instead of using Flask like i usually use. FastAPI is a truly ASGI, async, cutting edge framework written in python 3. They've apparently re If you take the top 50 or so "complete web dev" type courses on various platforms or books or something I can't imagine more than a few are . config for a non-web app. As for flask vs fastapi, i prefer fastapi for auto documentation, type hint annotations, and superior async support. Welcome to the #1 BEST SELLING FASTAPI course on Udemy!. Hop aboard our exciting book compendium, where we’ve carefully collated the prime resources for the best FastAPI Books. Discover FastAPI features and best practices for building and deploying high-quality web APIs from scratch. Also please share books! (Please send any books u purchase to me via PM or email and I'll upload to Libgen so everyone can benefit, otherwise don't cry about people selling books) Happy Studying FastAPI is a truly ASGI, async, cutting edge framework written in python 3. When you start using nodejs with framework like nest, you will start seeing the performance. Welcome to our eBooks community! Discover a wealth of resources tailored to your learning needs The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. (FastAPI-admin 2 subscribers in the Digital_eBook community. s That Manning Microservice APIs with Python LiveBook is the most in depth book I have found for FastAPI, so far—except for the official documentation. On July 1st, a change to Reddit's API pricing will come into effect. Community Support. Build up your understanding with it. Svelte is a radical new approach to building user interfaces. One of the first topics the book covers in detail is that monoliths aren't bad. I love both of these frameworks but for work I've always been using Django Yes ! Steamed veggies are easier on the digestion than raw - & bone broth is great here - a nice veg soup made with bone broth I make mushroom soup with bone broth stock some sauerkraut and kimchi are good for probiotics Just take it slow and little snacks spaced out and drink lots of water :) It’s easy to get stoked to eat and overdo it you’ll just get a belly ache 😣 If it is that simple, I would use fastapi, but if it would be complex and need more features and db in the future, I would use django. This book is great. If you have a few hours to sink into both and see what you prefer that may be the best way to be sure. Team development. --- If you have questions or are new to Python use r/LearnPython Have the serving over API then create flask-fastapi or whatever to communicate with the serving tool, it will handle the batching and resources utilization since you dont have to reinvent the wheel, and this is an expensive wheel. FastAPI is non-opinionated relatively and has a more back-end only focus. 24. Later, you’ll cover best practices relating to testing and deployment to run a high-quality and robust application. 2K subscribers in the FastAPI community. It may not be the greatest at anything (for instance Julia might be a better scientific language), but it covers so many domains that the rich ecosystem of libraries FastAPI already does anything Litestar does & more, and actual companies use FastAPI (1,600,000 downloads/day). It includes: Detailed explanations of FastAPI's capabilities. (sorry for that) by the comments hating on FastAPI (and me) here on Reddit and waving the Starlite flag, but I'm pretty sure that's not even the point of view of the project and maintainers, just some flame-war-prone isolated users. Apologies if this is a common question, a quick Reddit search didn't produce much, and googling produces an insane amount of noise on the topic. Andrew Lock also has a detailed book on ASP. I see that engineers use Python to make a connection between their systems and AWS and working with data. Monoliths have a lot of strategic advantages, that's why most companies start out with one! A microservice architecture shouldn't be the goal. Quarkus has some baggage, because of compliance with JavaEE spec, and also dependency to Vert. 6 and its later versions based on standard Python-type hints. I would goto the documentation page for FastAPI and read through their Tutorial. Typically FastAPI websites have a separate front-end (with React for example) which means you need to know quite a bit more. There's many many many more, but those are some of the best imo. Asyncio always a single thread. Old post was deleted by Reddit due to a bad site in the orig post. As its name implies, FastAPI is indeed fast, rivaling similar frameworks in languages such as Golang. That's a nice little project, good job ! I would look in having rate limiting in front of FastAPI though. I often run into the situation where I'm developing a personal project with FastAPI and I can do the core logic on the backend easily, but I would like to put It's good, but it's hardly "more than enough". The focused pitch by Litestar was always "We're a copycat of FastAPI, but we're working on it as a team and not primarily built by one person like FastAPI. I actually started from PHP (more than 10yrs ago) and I remember I liked a lot how it was easy to define an API by just creating a file, but it was really difficult to follow flows that ran across many pages and complex stuff, so I understand why the rant in the article. " The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. You can’t compare nodejs to fastapi, nodejs is a language - fastapi is a framework. Just now hitting my first ORM usage in Python and the book is using FastAPI with SQLAlchemy 1. NET core book - A little old but it gives you Im looking for some fastapi projects to study and look over. I am embedded system developer so I always use C but I know the basic of Python. Likely you don't really need fastapi at all then since wagtail seems to automatically make a REST api available based on your CMS setup. I think FastAPI uses alot of Async SQLAlchemy with FastAPI - Learn how to use SQLAlchemy asynchronously. Flask is a bit more mature but also geared more towards being a backend for a web app rather than just an API. It really feels not only like his magnum opus but that of all literature; few books have attempted to do what it fid and none have matched it. FastAPI: The Complete Guide Which is the best website or book to learn FastApi? I researched various Reddit threads and discussions related to learning FastAPI. FastAPI is heavily inspired by ApiStar and it 39 votes, 17 comments. I'm a Django guy, and last time I considered using FastAPI, I stoped because I struggled with how SQLAlchemy works. i think the ooba api is better at some things, the openai compatible api is handy for others. Finally dropped my brand new Python Api Development course. This is not an appropriate argument type, and SQLAlchemy is telling you that (in its own peculiar way). If you want to use an existing one, make use of the requests library. I want to know who has implemented a full web stack end to end on FastAPI. FastAPI is built on top of Starlette for the web parts and Pydantic for data handling, ensuring exceptional Posted by u/kloworizer - 17 votes and 14 comments The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. FastAPI: The Complete Guide. Played with AHA stack. It seems to cover a lot but some of the key takeaways are best practices, software design patterns, API Authentication via JWT, DB Migrations and of course FastAPI. Technically you can mount any wsgi/asgi app like flask/django/wagtail into fastapi but you don't get the automatic openapi generation on But getting an admin going that even approaches the quality of django admin was going to be a ton of work. With this View community ranking In the Top 10% of largest communities on Reddit. The best advanced FastAPI I found is covering some of these topics but it's quite dated now in technology years - going back to 2021: https://www. ; Build and Secure an API in Python with FastAPI - Secure and maintain an API based on FastAPI and SQLAlchemy. anyway, as stated, some good code in there as far as class interfaces for crud operations and straight forward authorization, password recovery reset, etc. Both are great. FastAPI codebase can be hard to work on for multiple developers simultaneously. Hi. 8+ based on standard Python type hints. 342 votes, 156 comments. Silly me updating to 2. Sqlalchemy is still not fully async ready. FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3. List has been cleaned and updated. Nobody except a couple people in this sub use or plug the Litestar project. The course took way longer than I expected, seeing as how it was originally planned to only be a 4 hr course, but I kept adding more and more sections and 2 months later it now comes out to a whopping 19 hours of content 😮 I’ve used FastAPI and Litestar. If interested, you can check it out (including a detailed REST API example) on both PyPI and username_form is a fixture that returns a string. Also tried Django first when I wanted to get more experience from back-end development to get a more diverse view of different types of programs, but as I was going through different tutorials I honestly felt I was just following along, not really understanding anything, so I eventually gave up for the time being. So far I haven't required any extensions, and always return HTML in responses. Search for FastAPI projects and you'll find plenty of repositories with real-world examples. I used to spend bunch of time on finding decent materials or barely understand what book was trying to tell. FastAPI is an Asynchronous Server Gateway Interface (ASGI)-based framework that can help build modern, manageable, and fast microservices. For all my friends who are I love how reddit makes no sense : Ask r/webdev or r/programming what they think about php : It's a terrible language and it's dead anyway Ask r/php what they think about Laravel : It's a terrible framework that encourages bad practices and you should use Symfony instead 10 years of experience in all full stack frameworks. I need a book or a tutorial to learn AWS IOT. The four books I listed are targetted at people who don't need basic programming concepts explained to them. See if it offers more description as to what each part does. We would like to show you a description here but the site won’t allow us. 0. What I miss is the high quality docs and the defacto project structure of django and really good plugin support of flask. add. Without it, you would probably use threads, which have there own set of pitfalls and gotchas. Mine is specific to my use case, and it's a WIP with 2 branches. Several developers of commercial third-party apps have announced that this change will compel them to shut down their apps. Hi all, I've been experimenting with FastAPI and MongoDB (and its asyncio motor driver) a bit recently. FastAPI, a pioneering technology, is an unbeatably swift No. yvbil urc ryugjd kiiil gmlojpg drcy mglrosi epxbp mlpdrry qnqevp