Best fastapi book github reddit. Ebooks, Webinars Customer Stories Partners .

Best fastapi book github reddit For example, suppose I have Books and Authors. Thus I need three tables: books, authors, and book_authors. This book offers a thorough exploration of FastAPI, covering everything from the basics to advanced features. ; The caveat is if you fail that trust and There's two ways to having a FastAPI-like framework with a DjangoAdmin-like utility. You signed out in another tab or window. Author out! p. It only teaches Git, it doesn't teach GitHub in particular (although it does cover pull requests). 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 Once GitHub makes that API available, FastAPI will migrate to it. FastAPI: The Complete Guide. Off course, I'm also using FastAPI as a backend provider for data in Grafana (through the JSON panel) and the frontend. Contribute to Jason-CKY/fastapi-htmx-example development by creating an account on GitHub. There are many more details about how to help maintain FastAPI, the specific tasks, and what YOU can do, right now. 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. FastAPI is minimalistic, celery helps with offloading CPU bound operations outside FastAPI wich is optimised for IO bound operations, mongo has proven to be superior than SQL, plus it offers great horisontal scaling with sharding. ; Pydantic for Data Validation: Employs Pydantic models to ensure data integrity and validation. Knowing this, we can easily decouple dependencies onto multiple smaller I used Jinja templates and built a small python package (hosted publicly in GitHub) to make the boiler plate involved with using Jinja templates a bit easier. 33 votes, 17 comments. If interested, you can check it out (including a detailed REST API example) on both PyPI and Here are some of the best FastAPI books that provide comprehensive insights and practical examples to help you master this powerful framework. As its name implies, FastAPI is indeed fast, rivaling similar frameworks in languages such as Golang. Now, I want to start working on authentication of the whole application. 24. - feniuspw/fastapi-books Skip to content Toggle navigation I'm currently working on writing unit tests for my project, and I'm wondering about the best practices for organising mock data and repositories. 8 FastAPI backend. It's not pretty, but it'll get you up and running quickly and you can see which one you like better. Which gives the best performance in production? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Description Hi. Been a while since I've read it (this is a very old thread lol) but I don't recall it being very technical. That's when I came across FastAPI. The biggest work maintaining FastAPI can be done by any and all of you here. Anyway, a good design would be to rely as little as possible on the framework. I've used FastAPI quite a bit - for one thing. The code examples examples are available for free on the book's GitHub repository , Which is the best website or book to learn FastApi? I researched various Reddit threads and discussions related to learning FastAPI. ; OAuth2 Authentication: Implements OAuth2 protocols for 10K subscribers in the FastAPI community. The VPS proxies requests back to my house. ) I can't recommend it enough, it's a great way to learn Git. If your reaction to "I don't like running into framework support issues with outside dependencies" is to transition to an even less battle-tested framework with 99. I'm hoping to leverage Redis with my project, and I was curious as to if anyone had any general pointers as to how best to manage the DB connection. js to FastAPI and Python can be a bit of a shift. Hello redditors and Python enthusiasts! During the last two weeks I've been developing a r/FastAPI backend integrated with PostgreSQL, Celery, RabbitMQ, Redis, and deployed easily using $ docker compose. But one thing that's important to keep in mind when designing a microservice system is that each service should be isolated. I'm really struggling to wrap my head around some of these FastAPI-specific implementations and how to use them correctly. All reactions. This repo is a companion to the O'Reilly book, FastAPI: Modern Python Web Development. A repository dedicated to studying and experimenting with FastAPI, featuring examples and best practices. In this specific part of the wiki it explains that when it consumes stream from "stream_channel" it need to check if the token received corresponds to the token that was sent in the first place by the producer. Grafana/Portainer have their own solutions, but I would like to have one central solution (read: Grafana/Portainer/Frontend AND FastAPI). Unfortunately, I didn't have useful public repositories, only my old proof-of-concept projects. The book mainly focuses on Git but it also touches on some GitHub-related topics. I've used both and personally have preferred FastAPI. It caught my attention for being one of the most loved frameworks in the Stack Overflow Developer Survey 2022. 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. 975% less usage, you're clearly on Reddit too much in subs where the LiteStar guy repeatedly spams his FastAPI copycat. You can also try courses promoted by Tiangolo: https://testdriven. You either need to set up some annoying crap (checks for the existence of the db objects) to make it work in such a Welcome to the unofficial Elementor subreddit, the number one place on Reddit to discuss Elementor the live page builder for WordPress. NET and have used the OpenAPI Swagger Spec. Yet another opinionated fastapi-start-kit with best practice - hylarucoder/tifa. I ended up using Django + django-ninja (REST Framework that reproduces fastAPI behaviour on Django project). Ideally this project becomes a way for other projects to get started I have developed APIs in the past using . e. Its a standalone video you dont need to watch his prior videos to understand this. FastAPI is a young yet solid framework that takes advantage of newer Python features in a clean design. I am currently evaluating shifting one of my api gateway from sanic / aiohttp to using fastapi / aiohttp. It has a good design. Reload to refresh your session. Svelte is a radical new approach to building user interfaces. 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. and a redis config incase of The mvc architecture is a common design pattern in python web, but the three-tier architecture is even more fascinating In python web development, there is no common standard for the concept of three-tier architecture, so we'll call it a pseudo three Do you know any? If yes, please post links. Now I am working on building a model web service with FastAPI. The process I am currently following here is to query the data from the DB (to a SQLAlchemy object-model), transform the data to a Pydantic model/schema, process/change the data within the Pydantic model/schema and then when to How can I []? I'm using structlog for logging in the application to get JSON logs (for loading into centralized logging service). Hi. Navigation Menu Ebooks, Webinars Customer Stories Partners Executive Insights Open they then need to be installed to git. Been happy with fastapi, I like the asyncio and pydantic support 101 votes, 48 comments. So far your best resources are official docs, GitHub/stack community, and medium articles. It's built on top of Starlette and uses Pydantic type hints and allows you to get an API up in no time. Practice building a FastAPI using best practices for CI/CD - eligrubbs/practice-fastapi-app. There is the option to decorate controllers with a version eg ("v1"). I have developed APIs in the past using . First, I'd like to express my gratitude for sharing this wonderful project. Here is my structlog setup if that is useful: Anyone has any recommendation for course/book/tutorial, free or paid? I have a decent idea about deep learning concepts. I use this for lots of things, but a big thing it's good for is letting clients try their applications out before they've paid me/decided how they're going to host things. You switched accounts on another tab or window. Automate any workflow Codespaces. 0. When using response_base. You learn by doing, the best way to learn. example/: The numbered Example code files from the book. Navigation Ebooks, Webinars Customer Stories Partners Open Source GitHub Sponsors. . Are there any best practices or guidelines that you're follow in your projects? Hey guys! I am fairly new to the FastAPI club. Currently having some fun exploring FastAPI with a personal project and getting used to using async/await within Python. The FastAPI/Starlette?/uvicorn logging is using standard text-based logging. Notifications Fork 23; Star 149. Hello guys, A couple of weeks ago, I got the itch to build something with FastAPI. Alembic has issues if you try to set up your initial migration and there are tables / other db objects already there. FastAPI is a truly ASGI, async, cutting edge framework written in python 3. I’ll check my code bases and post in a bit 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. With this practical book, developers familiar with Python will learn how FastAPI lets you accomplish more in less time with less code. 8+. I really like the framework, it had a lot of room for customisation. I’ll check my code bases and post in a bit 39 votes, 17 comments. ; If the route is defined async then it's called regularly via await and FastAPI trusts you to do only non-blocking I/O operations. A book can have many authors and an author can have many books. just check the tiangolo/uvicorn-gunicorn-fastapi-docker repo to find out how to configure the gunicorn depending on your requirement. But FastAPI doesn't bring much more. Hello everyone! I wanted to share with the community Bunnybook 🐇, a small open source social network I developed in my spare time that features a Python 3. Render. Find and fix vulnerabilities Actions. Under the hood, FastAPI can effectively handle both async and sync I/O operations. I will strongly suggest you watch that video and move on to others. From his GitHub The best fastapi books recommended by Erico Andrei, such as FastAPI, Building Python Web APIs with FastAPI and High-Performance Web Apps with FastAPI. Creating APIs. comments sorted by Best Top New Controversial Q&A You define your REST schema, and it will generate server stub code for you (flask and fastapi are supported, among others). It’s got a long way to go, but the plan is to make dependency injection, deployment, and configuration very easy in FastAPI web services. But, my current job is in backend with python, so naturally looking to expand my skillset! In this repo, we will show how to optimally utilize NeuronCores with FastAPI to maximize throughput at minimum latency. fai It's still relevant, and you can still get a job with Django. The tutorials should be enough to get you started, and feel free to ask any questions if you encounter difficulties along the way! Hi all, I've been experimenting with FastAPI and MongoDB (and its asyncio motor driver) a bit recently. It was incredibly easy. My team has been having way better luck and progress by reading the source code in the cookie cutter projects on github than Hey, guys, for anyone who might benefit (or would like to contribute) Yet another FastAPI Boilerplate (starter project) to help you productizing Machine Learning or just creating an API 🚀 Are you interested in working on one from (nearly) the beginning? I’m building a GH template repo for FastAPI services deployed on AWS. I've put, seen and know about many FastAPI applications in production, and I recommend it. 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. FastAPI runs sync routes in the threadpool and blocking I/O operations won't stop the event loop from executing the tasks. true. Here is what I could find so far Oh okay, that's a good question. I created Bunnybook for learning purposes, to have the opportunity to experiment with some technologies I wasn't familiar with - like graph databases and Cypher query language - so it can't be I think there is some configuration you need to do in your pytest conftest file first and also an extension to install for async tests. Quick peek out there I think it will be one of these for rewriting my current monolithic to microservices wit FastAPI (hobby level). Run the FastAPI is more of the equivalent to something like Flask-Restful or Flask-API (tools built on top of Flask to help quickly build APIs). If you are learning how to use FastAPI or any of these other frameworks you may find this resource valuable. Asynchronous SQLAlchemy: Utilizes SQLAlchemy's asynchronous capabilities to handle database operations efficiently. It's a great book that teaches you by walking you through exercises. 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. where one way of doing something has been replaced by another, but the old approach is still This is a subreddit dedicated to discussing Claude, an AI assistant created by Anthropic to be helpful, harmless, and honest. g. io/talkpython/ One of the most popular things I've been teaching people is how to deploy FastAPI microservices to DigitalOcean and Render. It may not use best practices. As I am a Data Engineer I didn't have a ton of experience with API development - In the past, I only developed the "reading" part of API to expose some database tables, KPIs, etc. you can create a Custom Dockerfile . My book in one sentences: It uses colors, storytelling, and hands-on exercises, to teach Git in a simple, visual, and tangible manner. First of all great work with fastapi. In the following sections, we will show to setup this solution on an Inf1 instance and will walkthrough how to compile models on NeuronCores, deploy models with FastAPI and monitor NeuronCores. I stumbled upon this repo on github that uses a FastApi endpoint along with a worker service that comunicates with fastapi through redis stream. I am big fan of MVC pattern and Hi! So sorry, I just saw this. Some parts of the book contain general concepts, processes, and instructions that intermediate-level fastapi-practices / fastapi_best_architecture Public template. I tried using HTMX but it got a bit unwieldy to maintain with all the small components I built (if anyone has figured out a better approach, would love to hear). Instant dev environments Issues. All right, that’s it, won’t do any more selling. But you'll likely be working on "older" projects while FastAPI will allow you to work on "newer" projects. Downloads Data: Flask vs FastAPI vs Django vs LiteStar Flask: ~3,500,000 I stumbled upon this repo on github that uses a FastApi endpoint along with a worker service that comunicates with fastapi through redis stream. You should design your software independently. Code; Issues 4; Pull requests 0; Discussions ; Actions; Security; Insights; New issue Have a question about this project? Sign up for a free Some people were searching my GitHub profile for project examples after reading the article on FastAPI best practices. Reddit is an expansive online platform that serves as a hub for a multitude of communities, where individuals from all walks of life gather to engage in discussions, share diverse content, and explore a vast range of topics spanning from news and entertainment to hobbies and personal interests There is github video on leon noels 100devs playlist. github. Navigation Menu Toggle navigation. if we have a dependency that calls service get_post_by_id, we won't be visiting DB each time we call this dependency - only the first function call. I'm still diving deeper into FastAPI, and I have a few questions. com has a free tier and both hook into your github 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. Silly me updating to 2. configs - Database configuration; controllers - Controllers for business logic; endpoints - API endpoints; libs - Utility libraries (databases and templates); model - Database table structures; routes - API routes I just updated the docs about helping FastAPI, there's a new section Help Maintain FastAPI. For FastAPI projects with proper db connections and directory structures, GitHub is your best bet. GitHub - Vue+Vite with FastAPI backend to perform stable diffusion image generation. I've learned a lot from it—so much that it's hard to quantify. ; FastAPI Framework: Leverages FastAPI for building high-performance APIs with Python 3. Just hosted my personal site on GitHub Pages with a custom domain. Write better code with AI Security. 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. And that work is what demands the most time. Like any web framework, FastAPI helps you to build web applications. Sign in Product GitHub Copilot. Hi there. That 3 hour video was really important for me to understand the basics of how git commands work and what github actually does. There was a general consensus that the official Yes you can and no it doesn't. github/workflows - GitHub Actions workflows; alembic - Alembic database migration scripts; app - Main application code . 1. After trying it out, I was instantly drawn to FastAPI's simplicity and modern features like Asynchronous Server Gateway Interface (ASGI) support and built-in OpenAPI spec (Swagger). On a conceptual level nothing, you could use any backend storage system you like. Every framework is designed to make some operations easier — by features, omissions, and defaults. That's what it's great at. 3. I started out with flask and switched over to fastapi. Either backend or full-stack. Here are some of the best FastAPI books that provide comprehensive insights and practical examples to help you master this powerful framework. So what is the best practice to initial the YOLO instance in FastAPI? If my container only have 1 GPU, can I share 1 GPU among multiple YOLO instance with multiple FastAPI workers? Additional. I have a bunch of microservices expos More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. 8 and thinking everything would run. I'd like to know your thoughts on where to put them - in different files or in the same file where I write the unit tests. Returns the list of all the rows of the table. this stack scales extremely well. I'm looking for honest opinions about whether you would choose FastAPI for a real, production grade app instead of a personal one. 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. s. I'm sure there is a counter-argument about 'flexibility', but the fact there are no standards, and often multiple approaches to do the same thing (e. 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 Dependencies can be reused multiple times, and they won't be recalculated - FastAPI caches dependency's result within a request's scope by default, i. Learning a new ORM from scratch was not very compelling to be honest. When it comes to finding the best resources for learning FastAPI, Reddit is a treasure trove of recommendations from experienced developers. I think there is some configuration you need to do in your pytest conftest file first and also an extension to install for async tests. Fund open source Django is kinda full-stack focused although you have things like Django rest framework. Use this subreddit to ask questions, show off your Elementor creations, and meet other Elementor As someone who started out with node and React about 3 months ago, the lack of standard ways of doing things is a bit of a nightmare imo. Sure, transitioning from frontend and Node. The fact that it's open source is reassuring, it could be forked if necessary. Skip to content. Following the sqlalchemy docs here I set up the following three sqlalchemy models Sure, transitioning from frontend and Node. It doesn't have to be maintained by a huge community. It's a great way to preview your Look on any website that sells books, check the developer console for what their servers respond with - if any of them aren’t server side generated html then you will be able to see yourself If you are looking for something language specific and looking for source code you’ll have to do a keyword search on GitHub I pay $5 for a VPS, and keep a server in my house. For example: How to create a remote repository on GitHub How to upload data (push) to the remote repository on GitHub How to download data (pull) from the remote repository on 31 votes, 10 comments. It contains: README. Search for FastAPI projects and you'll find plenty of repositories with real-world examples. FastAPI is non-opinionated relatively and has a more back-end only focus. Technically you can mount any wsgi/asgi app like flask/django/wagtail into fastapi but you don't get the automatic openapi generation on When following the FastAPI user guide regarding Databases and SQLAlchemy there are some examples but none for updating data in the DB. Claude does not actually run this community - it is a place for people to talk about Claude's capabilities, limitations, emerging personality and potential impacts on society as an artificial intelligence. White papers, Ebooks, Webinars Customer Stories Partners Executive Insights Open Source GitHub fastapi-practices / fastapi_best_architecture Public template. The project follows this folder structure:. There are review questions at the end of each chapter (with an answer sheet available here. Plan and track work Code Review. Noticed that the alternative is Peewee. 😄 if anyone encounters any issues while running or installing, definitely give a shout here – it might be something the community can provide insight on, or heck, it could even be an unknown bug! Please make sure to check out the book Learn Git in a Month of Lunches. we've also chosen to implement JWT authentication to minimise database queries. I also used FastAPI extensively to illustrate how to build and design APIs in my book Microservice APIs. Readers familiar with the REST API and microservices will also benefit from this book. com. What is the best way to override that to use my structlog configuration? Additional context. Manage code changes This book is for Python web developers, advanced Python users, and backend developers using Flask or Django who want to learn how to use the FastAPI framework to implement microservices. I was wondering if you have some time to help test it t You signed in with another tab or window. No View community ranking In the Top 1% of largest communities on Reddit. For the last several years in production, we have been making good and bad decisions that impacted our developer experience dramatically. From that perspective, FastAPI is probably a better bet for job Off course, I'm also using FastAPI as a backend provider for data in Grafana (through the JSON panel) and the frontend. Flask and FastAPI). Here’s a curated list of some This book helps you unlock the power of FastAPI to build high-performing web apps and APIs by taking you through the basics like routing and data validation through to advanced topics, such FastAPI Best Practices Opinionated list of best practices and conventions I use in startups. Ebooks, Webinars Customer Stories Partners Executive Insights Open This is a starting template for projects using a Python FastAPI server, MongoDB storage and React frontend, Hi, @wu-clan I've been testing WebSocket communication recently, so I'm studying the integration of python-socketio with our current project. By clicking “Sign up for GitHub”, It's simple and stable. ☝️ The purpose of this repo is to note minimum wiring to have postgres and FastAPI configured in docker-compose. 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 No. It includes: Detailed explanations of FastAPI's capabilities. I'm a Django guy, and last time I considered using FastAPI, I stoped because I struggled with how SQLAlchemy works. The FastAPI webapp has one endpoint, which: Inserts a row into a db table "greetings", which is a string representation of the current timestamp. So you don't want two different services to be connecting to the same database, each service should have its own database. 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. md: This file. Just now hitting my first ORM usage in Python and the book is using FastAPI with SQLAlchemy 1.