Best fastapi book reddit github. A sample python book-api project using FastAPI and GraphQL.

Best fastapi book reddit github The idea is to reward people who help on replying questions, and the GitHub Discussions doesn't have an API to retrieve data about who replied them. 119 votes, 24 comments. ; If you Hi everyone, I found myself rebuilding a lot of basic stuff such as sign up, login, async database functionality and unit tests every time I wanted to quickly POC something. Rosado 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. The book also demonstrates how to develop fast and efficient machine learning prediction backends and test them to achieve the best One of the most popular things I've been teaching people is how to deploy FastAPI microservices to DigitalOcean and Render. ; 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. 1. With this practical book, developers familiar with Python will learn how FastAPI lets you accomplish more in less time with less code. I’ve been handed a brand new project of building an API from scratch. The Contribute to Kematin/FastAPI-book development by creating an account on GitHub. I've used both and personally have preferred FastAPI. The gunicorn configuration is set to use the number of This is the working repository for ‘The API’ book written by Sergey Konstantinov (email, Linkedin profile, Medium blog). ; Fastapi-SQLA - SQLAlchemy extension for FastAPI with support for pagination, asyncio, and pytest. 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). A curated list of resources. The code examples examples are available for free on the book's GitHub repository , 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 A repository dedicated to studying and experimenting with FastAPI, featuring examples and best practices. Automate any workflow Codespaces. I'd say most FastAPI users have a Django or Flask background, so there's not a big demand for a book atm. It only teaches Git, it doesn't teach GitHub in particular (although it does cover pull requests). Silly me updating to 2. I am currently evaluating shifting one of my api gateway from sanic / aiohttp to using fastapi / aiohttp. I was getting biased (sorry for that) by the comments hating on FastAPI (and me) here on Reddit and waving the Starlite flag, 1. true. Find and fix vulnerabilities Codespaces. ; OAuth2 Authentication: Implements OAuth2 protocols for Saved searches Use saved searches to filter your results more quickly Im looking for some fastapi projects to study and look over. ; FastAPI SQLAlchemy - Simple integration between FastAPI and SQLAlchemy. This project leverages docker for containerization and provides the full setup to deploy to AWS Fargate using AWS CDK. Fast to code: Increase the speed to develop features by about 200% to 300%. s. Automate any workflow Packages. Noticed that the alternative is Peewee. The Dockerfile is optimized for small size and fast builds with a non-root user. yaml with your additions or changes, and submit a pull request. You can send requests: GET /book/ - all info;; POST /book/ - add new book;; GET /book/id_book - info about a specific book;; PUT /book/id_book - update info about a specific book;; DELETE /book/id_book - delete info about a specific book. 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. Awesome FastAPI. e. Just now hitting my first ORM usage in Python and the book is using FastAPI with SQLAlchemy 1. Get to grips with basic and advanced concepts of the FastAPI framework; Implement a FastAPI dependency to efficiently run a machine learning model; Integrate a simple face detection algorithm in a FastAPI backend; Integrate common Python data science libraries in a web backend; Deploy a performant and reliable web backend for a data science Im a very average . External links and articles. For more details, visit the project's website. ; The caveat is if you fail that trust and and some other extras like global exceptions, sqlalchemy keys naming convention, shortcut scripts for alembic, etc. NET developer and have skated through my career so far making minor bug fixes. ; FastAPI Framework: Leverages FastAPI for building high-performance APIs with Python 3. ; Pydantic for Data Validation: Employs Pydantic models to ensure data integrity and validation. Asynchronous SQLAlchemy: Utilizes SQLAlchemy's asynchronous capabilities to handle database operations efficiently. FastAPI runs sync routes in the threadpool and blocking I/O operations won't stop the event loop from executing the tasks. com. Discuss code, ask questions & collaborate with the developer community. 24. The documentation is available in various formats, including HTML and PDF, making it easy to reference offline. Quick peek out there I think it will be one of these for rewriting my current monolithic to microservices wit FastAPI (hobby level). . Toggle navigation. ; You can also use /docs to check the sending of requests, where all the endpoints will be 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. Intuitive: Great editor support. The starter is created for and used in the Building Serverless Python Apps Using FastAPI and AWS book by Eidan J. I have highlighted work needing done to make some tutorial-type content with Starlite, but until we have some nice people make some videos (or we have time) the overall winner with support here is FastAPI. The course focuses on FastAPI development concepts that go beyond the basic CRUD operations. There's two ways to having a FastAPI-like framework with a DjangoAdmin-like utility. First of all great work with fastapi. A sample python book-api project using FastAPI and GraphQL. FastAPI GitHub. API-first development is one of the hottest technical topics nowadays since many companies started to realize that API serves as a multiplicator to their opportunities—but it also amplifies the design mistakes as well. FastAPI: The Complete Guide. Deployment is done with Docker and Gunicorn. 8 FastAPI backend. Host and manage packages Security. - feniuspw/fastapi-books. Sign in Product Actions. Here’s a curated list of some 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 Edgy ORM - Complex databases made simple. As you progress, you’ll learn how to build data science applications in Python using FastAPI. FastAPI: The Complete When it comes to finding the best resources for learning FastAPI, Reddit is a treasure trove of recommendations from experienced developers. Knowing this, we can easily decouple dependencies onto multiple smaller This is the source code for the FastAPI Beyond CRUD course. Navigation Menu Toggle navigation. Less time debugging. All right, that’s it, won’t do any more selling. Because of its asynchronous core platform, this ASGI-based framework provides the best To download the FastAPI documentation, you can access the official documentation directly from the FastAPI GitHub repository or the documentation site. Contributions are encouraged and always welcome! If you like to add or update projects, choose one of the following ways: Open an issue by selecting one of the provided categories from the issue page and fill in the requested information. Author out! p. The official Python community for Reddit! Stay up to date with the latest news, packages, and meta I used the GitHub search to find a similar issue and didn't find it. FastAPI. Render. Saved searches Use saved searches to filter your results more quickly Under the hood, FastAPI can effectively handle both async and sync I/O operations. This book offers a thorough exploration of FastAPI, covering everything from the basics to advanced features. One of the fastest Python frameworks available. Find and fix vulnerabilities Actions. It includes: Detailed explanations of FastAPI's capabilities. 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 A repository dedicated to studying and experimenting with FastAPI, featuring examples and best practices. Plan and track work Code Review. I think FastAPI would be the best out of them all. This can also be done directly via the Github UI. I searched the FastAPI documentation, with the integrated search. Kabir Khan from Microsoft shared his enthusiasm for FastAPI, stating that he plans to use it extensively for his team's Like any web framework, FastAPI helps you to build web applications. Here we have two Entities - Books and Authors, whose relationships have been exploited to create CRUD endpoint in REST under OpenAPI standard. The Ultimate FastAPI Tutorial. com has a free tier and both hook into your github Here are some of the best FastAPI books that provide comprehensive insights and practical examples to help you master this powerful framework. I already searched in Google "How to X in FastAPI" and didn't find any information. Once GitHub makes that API available, FastAPI will migrate to it. 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. From the official site. Description Hi. I'm looking for honest opinions about whether you would choose FastAPI for a real, production grade app instead of a personal one. I have a bunch of microservices expos Contribute to trailrun/FastAPI-Book development by creating an account on GitHub. A detailed, multipart walk-through. ; In recent discussions on Reddit, several notable projects utilizing FastAPI have been highlighted, showcasing its versatility and performance in various applications. The code examples examples are available for free on the book's GitHub repository , I also used FastAPI extensively to illustrate how to build and design APIs in my book Microservice APIs. So far your best resources are official docs, GitHub/stack community, and medium I also used FastAPI extensively to illustrate how to build and design APIs in my book Microservice APIs. Sign in Product GitHub Copilot. 8+. Fewer bugs: Reduce about 40% of human (developer) induced errors. 8 and thinking everything would run. Below are some key insights and examples from industry leaders: Microsoft. Every framework is designed to make some operations easier — by features, omissions, and defaults. Instant dev environments Copilot. Instant dev environments Issues. 2M subscribers in the Python community. Explore the GitHub Discussions forum for fastapi-practices fastapi_best_architecture. Manage code changes Here are some of the best FastAPI books that provide comprehensive insights and practical examples to help you master this powerful framework. Easy to learn . 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. Write better code with AI 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-tier architecture here But please note that we Example Application Interface using FastAPI framework in Python 3. This example showcases Repository Pattern in Hexagonal Architecture (also known as Clean Architecture). FastAPI is a young yet solid framework that takes advantage of newer Python features in a clean design. FastAPI is an Asynchronous Server Gateway Interface (ASGI)-based framework that can help build modern, manageable, and fast microservices. My book in one sentences: It uses colors, storytelling, and hands-on exercises, to teach Git in a simple, visual, and tangible manner. The official site, and the best technical documentation that I’ve seen. 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. As its name implies, FastAPI is indeed fast, rivaling similar frameworks in languages such as Golang. The FastAPI code repository. ; Modify the projects. Skip to content. Write better code with AI Security. 0. Manage code changes Fast: Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). I already read and followed all the tutorial in the docs and didn't find an answer. Completion everywhere. 3. The following are some FastAPI websites: Home.