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As fun project, but hopefully useful to someone, I've built the service for online MS Access to sqlite3 conversion some time ago. Now I added semi automated Web Application creation based on the uploaded Access data. It really takes minutes to get the Web application up and running based on Python Jam.py. Source: almost 3 years ago
You could look at https://jam-py.com. Source: over 3 years ago
Nah mate, sorry to say, but you are not fully informed. I can move 100 tables Access App in one day with just clicking. The framework is called Jam.py . So, let's have a look how that actually works: Https://www.reddit.com/r/MSAccess/comments/rhls54/access_lending_library_moving_to_the_web/. Source: over 3 years ago
To move data online one can use this jam-py.com. Source: over 3 years ago
I will chip in, if the admins do not mind, with suggesting to go straight on the internet with the solution. The tool is Jam.py and maybe visit this too: Jampyapplicationbuilder.com/. Source: over 3 years ago
FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints. We use it to build the web API for the image search. - Source: dev.to / 20 days ago
The backend of this accountability AI application is built using FastAPI, a high-performance framework for Python. The app allows users to communicate with the AI, which helps them stay accountable by generating responses based on their input. Below is a breakdown of the key components used in the code:. - Source: dev.to / about 1 month ago
Until I realized Anki has their own API Interface, which made me realize that I can automate this task, efficiently, while also getting hand on experience using FastAPI and LLMs (but am I going to change the stack later?.. Lets see). - Source: dev.to / 30 days ago
By the end of this tutorial, you’ll see how I used FastAPI and Jinja2 to turn raw JSON into a dynamic timeline of weather and history that feels informative and fun. - Source: dev.to / about 2 months ago
The only thing left to do then was to build something that could showcase the power of code ingestion within a vector database, and it immediately clicked in my mind: "Why don't I ingest my entire codebase of solved Go exercises from Exercism?" That's how I created Code-RAGent, your friendly coding assistant based on your personal codebases and grounded in web search. It is built on top of GPT-4.1, powered by... - Source: dev.to / about 2 months ago
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