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FastAPI

End-to-End NLP Project with Hugging Face, FastAPI, and Docker

This tutorial explains how to build a containerized sentiment analysis API using Hugging Face, FastAPI and DockerContinue reading on Towards Data Science » This tutorial explains how to build a containerized sentiment analysis API using Hugging Face, FastAPI and DockerContinue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is…

Efficient Session Handling Using the Repository Pattern in FastAPI

Too Long; Didn't ReadEfficient session handling is crucial for maintaining data consistency, preventing errors, and ensuring the stability of backend systems. By following best practices, such as using context managers and adopting the repository pattern, developers can build robust and reliable systems that effectively manage sessions and handle errors during database transactions. Too Long; Didn't ReadEfficient session handling is crucial for maintaining data consistency, preventing errors, and ensuring the stability…

Build a back-end with PostgreSQL, FastAPI, and Docker | by Jacky Kaub | Mar, 2023

A step-by-step guide to develop a map-based application (Part IV)Photo by Caspar Camille Rubin on UnsplashMaps are a powerful tool for visualizing and understanding geographic data but they need specific skills to be designed efficiently.In this step-by-step guide, we are going to take a deep dive into building a map-based application to show the customers prices of gas stations around them. We will cover the different key steps of a product, from original proof of concept (POC) to the minimum viable product (MVP)Part I:…

How To Deploy and Test Your Models Using FastAPI and Google Cloud Run | by Antons Tocilins-Ruberts | Mar, 2023

Learn how to turn your model into a service that runs in the cloud in this end-to-end tutorialPhoto by Taylor Vick on UnsplashMLOps (Machine Learning Operations) is an increasingly popular function and skill among data professionals. More and more, full stack data scientists who are capable of taking machine learning (ML) projects from training to production are in demand, so if you feel a bit uncomfortable in this area, or you want a quick refresher, this post is for you! If you’ve never deployed a model before, I highly…

Build a WebSocket Application with FastAPI and Angular | by Lynn Kwong | Jan, 2023

Learn to build a two-way interactive communication application with the WebSocket protocolImage by geralt in PixabaySimilar to HTTP, WebSocket is also a communication protocol used in client-server communications. However, unlike HTTP, WebSocket is a bidirectional interactive protocol that allows the client to send messages to the server and also receive event-driven responses passively from the server without having to make requests to the server.WebSocket is widely used in chatting and gaming where real-time data is a…

How To Read/Write DataFrames From/To SQL over HTTP with FastAPI

In Less Than 10 MinutesPhoto thanks to growtika from Unsplash.Dealing with data in industry is a pain. This is because data can be scattered across multiple projects, stored in different formats and maintained to different degrees. Typically, this leads to different teams developing different internal tools for processing their data. The whole thing is a resulting mess as you are left with no standard method of reading and writing data.One solution to this is to develop data ingestion microservices. In essence, these are…

How to Dockerize Machine Learning Applications Built with H2O, MLflow, FastAPI, and Streamlit | by Kenneth Leung | Jun, 2022

An easy-to-follow guide to containerizing multi-service ML applications with DockerPhoto by Philippe Oursel on UnsplashGiven Docker’s impressive capabilities of building, shipping, and running machine learning (ML) applications reliably, it is no surprise that its adoption has exploded and continues to surge within the data science field.This article explains how to utilize Docker to containerize a multi-service ML application built with H2O AutoML, MLflow, FastAPI, and Streamlit.Photo by Rubaitul Azad on UnsplashDocker…