Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Python is the best language in the world. Today, you can build AI and data applications using Python alone! No HTML or JavaScript necessary. Take a look at Taipy, an open-source Python library to build end-to-end production applications. Star their repository: I recorded a quick video showing how to...

359,020 Aufrufe • vor 2 Jahren •via X (Twitter)

10 Kommentare

Profilbild von Petr Lazecky
Petr Lazeckyvor 2 Jahren

You should have enough experience to know there is no such a think as the best programming language. Yes, in the data science community it is preferred language as all data mining and processing libraries are written in Python for some reason.

Profilbild von Santiago
Santiagovor 2 Jahren

Call it potato or potato.

Profilbild von James Pog
James Pogvor 2 Jahren

hows this diff from streamlit?

Profilbild von Raul Junco
Raul Juncovor 2 Jahren

I built a similar prototype a couple of weeks ago. I can't stop using Taipy since.

Profilbild von yo
yovor 2 Jahren

What about Plotly-Dash ? Simplifying a lot for building data apps

Profilbild von localhost
localhostvor 2 Jahren

It’s not about the language it’s how you use it, Zuck built FB with php and js

Profilbild von Samar Singh
Samar Singhvor 2 Jahren

Man, you have been pushing this taipy thing like crazy. So man times, need to check it out now.

Profilbild von Marco Franzon
Marco Franzonvor 2 Jahren

But you can put it in production using just python? I don't think so...

Profilbild von Adarsh
Adarshvor 2 Jahren

You should also try streamlit. It's pretty good. @streamlit

Profilbild von Yorel Woods
Yorel Woodsvor 2 Jahren

What’s the edge? @streamlit is solid

Ähnliche Videos

99% of AI applications are cool-looking demos. Impressive, but don't get fooled by the hype. It takes a lot to build enterprise-grade products that deliver real value. I have at least three weekly conversations with companies that want to use a Large Language Model with their data. The demand is huge! Here is one idea about what you can do to help. The use cases that most of these companies want to solve are similar: They have an extensive knowledge base and want to build a simple application that uses that information to answer questions. In other words, they need help building Retrieval Augmented Generation (RAG) applications they can use in many different scenarios: 1. To train new employees 2. To help their support team 3. To search old meetings and documents 4. To help with their research However, building these systems is not straightforward. Yes, there's a lot of information online, but there aren't enough people who know how to create solutions that work. Here is the idea: Today, you can build an enterprise-grade RAG application without writing code. A couple of MIT PhDs with 10+ years of experience building AI applications created . It's a no-code platform for building applications using Large Language Models. They are partnering with me on this post. You can use Stack AI to create, test, and deploy an end-to-end production-ready AI system. It's SOC-2, HIPAA, and GDPR compliant and offers SSO, role management, access control, and on-premise deployments. Of course, you can use the platform with any LLM on the market now. It's the whole nine yards for building AI applications. Check them out here: 2023 was about models. 2024 is about the tools using these models to build production-ready applications. That's where I'd start.

Santiago

197,675 Aufrufe • vor 2 Jahren