TechNetzz | Top Data Science With Fastapi Tutorials

Optimize and Deploy FastAPI for High-Traffic Apps

Data Science With Fastapi In the previous lesson, we explored how to add authentication and security to FastAPI, which is crucial for protecting your data science apps. Now, we’ll dive into optimizing and deploying FastAPI for production. This lesson will help you handle high traffic, improve performance, and deploy your... Read more

FastAPI Authentication and Security with OAuth2 and JWT

Data Science With Fastapi In the previous lesson, we explored how to integrate NoSQL databases like MongoDB with FastAPI. We learned how to store and retrieve data efficiently, which is crucial for building scalable data science applications. Now, we’ll dive into a critical aspect of API development: authentication and... Read more

FastAPI MongoDB Tutorial: Store JSON Data with NoSQL

Data Science With Fastapi In the previous lesson, we explored how to connect FastAPI with PostgreSQL, a relational database, to handle structured data. We learned how to set up the database, create tables, and perform CRUD operations using SQLAlchemy. Now, we’ll shift our focus to NoSQL databases, specifically MongoDB,... Read more

Connecting FastAPI with PostgreSQL for Data Science Applications

Data Science With Fastapi In the previous lesson, we explored how to integrate FastAPI with machine learning models like Scikit-Learn and TensorFlow. We built APIs that could take user inputs, process them using trained models, and return predictions. However, storing these predictions for future use or analysis was not... Read more

Deploy Scikit-Learn & TensorFlow Models with FastAPI

Data Science With Fastapi In the previous lesson, we explored how to deploy machine learning models using FastAPI. We learned how to set up a basic FastAPI app, integrate a simple model, and handle API requests. Now, we’ll take it a step further by deploying more advanced models trained with Scikit-Learn and TensorFlow.... Read more

Deploy Machine Learning Models with FastAPI: A Step-by-Step Guide

Data Science With Fastapi In the previous lesson, we explored how to handle data with FastAPI and Pandas. We learned how to process, clean, and serve data using FastAPI endpoints, which is a crucial step before deploying machine learning models. Now, we’ll take it a step further and dive into deploying machine learning... Read more

Handling Data with FastAPI and Pandas: CSV, JSON, and DataFrames

Data Science With Fastapi In the previous lesson, we explored how to create your first FastAPI endpoint. We built a simple API that returned a message, and we learned how to set up routes and run the server. Now, we will dive deeper into handling data, which is a core part of building data science applications. In this... Read more

Creating Your First FastAPI Endpoint with Pydantic

Data Science With Fastapi In the last lesson, we set up FastAPI for data science projects. We installed FastAPI, configured the environment, and created a basic app structure. Now, it's time to dive deeper and create our first FastAPI endpoint. This lesson will teach you how to handle requests and responses using... Read more

Setting Up FastAPI for Data Science Projects

Data Science With Fastapi In the previous lesson, we explored what FastAPI is and why it's a great choice for building data science applications. We learned that FastAPI is fast, easy to use, and works well with Python libraries like Pandas and Scikit-Learn. Now, it's time to dive into the practical side of things. In... Read more

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