FastAPI Reviews

Coq Reviews

FastAPI mentions (240)

• How to Deploy your FastAPI Backend with PostgreSQL Database to Render

  FastAPI is a popular Python backend web development framework. Many Python developers use FastAPI to built Application Programming Interfaces (APIs) and connect other backend infrastructure such as databases. FastAPI is suitable for API design for several reasons:. - Source: dev.to / 2 days ago

• Essential Deep Learning Checklist: Best Practices Unveiled

  How to Accomplish: Create a simple interface (CLI or GUI) where users can input an image, and the script processes and displays the model's prediction. For a CLI, use argparse to handle input arguments. For a GUI, consider libraries like Tkinter or web-based interfaces using FastAPI or Flask. The script should perform necessary preprocessing, invoke the model prediction, and present the results clearly, such as... - Source: dev.to / 7 days ago

• Super-charging Django: Tips & Tricks

  Consider integrating Django with FastAPI for asynchronous endpoints if your application needs high-performance, non-blocking I/O operations. - Source: dev.to / 5 days ago

• Documenting my pin collection with Segment Anything: Part 3

  FastAPI: A web framework for building APIs (and web pages). It is used as the backbone of the application to handle web requests, routing, and server logic, and orchestrates the overall API structure. Although not used here, FastAPI provides robust features such as data validation, serialisation, and asynchronous request handling. - Source: dev.to / 7 days ago

• Setting up Fast API in IIS and run APIs in Python

  This article will show you how to setup an API written in Python using an amazing framework called FastAPI. This article is an introduction on how to use the framework, I blog later on more advanced use cases. - Source: dev.to / 25 days ago

Coq mentions (46)

• The First Stable Release of a Rust-Rewrite Sudo Implementation

  Are those more important than, say: - Proven with Coq, a formal proof management system: https://coq.inria.fr/ See in the real world: https://aws.amazon.com/security/provable-security/ And check out Computer-Aided Verification (CAV). - Source: Hacker News / 8 months ago

• In Which I Claim Rich Hickey Is Wrong

  Dafny and Whiley are two examples with explicit verification support. Idris and other dependently typed languages should all be rich enough to express the required predicate but might not necessarily be able to accept a reasonable implementation as proof. Isabelle, Lean, Coq, and other theorem provers definitely can express the capability but aren't going to churn out much in the way of executable programs;... - Source: Hacker News / 11 months ago

• If given a list of properties/definitions and relationship between them, could a machine come up with (mostly senseless, but) true implications?

  Still, there are many useful tools based on these ideas, used by programmers and mathematicians alike. What you describe sounds rather like Datalog (e.g. Soufflé Datalog), where you supply some rules and an initial fact, and the system repeatedly expands out the set of facts until nothing new can be derived. (This has to be finite, if you want to get anywhere.) In Prolog (e.g. SWI Prolog) you also supply a set of... Source: 12 months ago

• Mark Petruska has requested 250000 Algos for the development of a Coq-avm library for AVM version 8

  Information about the Coq proof assistant: https://coq.inria.fr/ , https://en.wikipedia.org/wiki/Coq. Source: about 1 year ago

• Basic SAT model of x86 instructions using Z3, autogenerated from Intel docs

  This type of thing can help you formally verify code. So, if your proof is correct, and your description of the (language/CPU) is correct, you can prove the code does what you think it does. Formal proof systems are still growing up, though, and they are still pretty hard to use. See Coq for an introduction: https://coq.inria.fr/. - Source: Hacker News / about 1 year ago