Taipy: Create Production Ready Apps with AI FOR FREE!

Рет қаралды 8,734

8 ай бұрын

In this video, we delve into the magic of Taipy, the all-in-one solution for both front-end and back-end web development. No need for extensive coding knowledge; Taipy simplifies the process, from prototypes to full-scale applications!
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[Link's Used]:
Taipy Github Repo: github.com/Avaiga/taipy
Taipy Website: www.taipy.io/
Docs: docs.taipy.io/en/latest/
- Simplified Development: Taipy streamlines the development process, making it accessible to everyone, regardless of front-end or back-end expertise.
- Interactive Dashboards: Learn how to leverage Taipy's simple syntax to craft engaging, multiple-page dashboards without any CSS or HTML knowledge.
- Data Orchestration: Explore Taipy's intuitive components, perfect for organizing and managing data through pipelines and flow orchestration.
If you're ready to unlock the potential of Taipy and revolutionize your web development journey, don't forget to:
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Additional Tags and Keywords:
Taipy, Data Transformation, Web Applications, Data Marvel, Tech Innovation, Data-Driven, Web Development, Taipy Revolution, Augmented Markdown, Data Orchestration, Clickbait Keywords, KZfaq SEO, Click-Through Rate, Data Wonders, Technology Evolution, Web Magic.
Hashtags:
#Taipy #WebDevelopment #Python #DataDrivenApps #AIAlgorithms #OpenSource #TechInnovation #CodingMagic
#TaipyMagic #WebDevWizardry #DataDrivenApps #PythonInnovation #TechRevolution

Пікірлер: 15

@intheworldofai 7 ай бұрын

💓Thank you so much for watching guys! I would highly appreciate it if you subscribe (turn on notifcation bell), like, and comment what else you want to see! 📅 Book a 1-On-1 Consulting Call WIth Me: calendly.com/worldzofai/ai-consulting-call-1 🔥 Become a Patron (Prviate Discord): patreon.com/WorldofAi 🧠 Follow me on Twitter: twitter.com/intheworldofai Love y'all and have an amazing day fellas.☕ To help and Support me, Buy a Coffee or Donate to Support the Channel: ko-fi.com/worldofai - Thank you so much guys! Love yall

@alexandresajus 7 ай бұрын

Great video man! Keep it up

@taipy_io 7 ай бұрын

Thank you for this awesome video and app, We really do like it!

@xgodwhitex 7 ай бұрын

Fantastic video, you earned a new subscriber! Please make more videos on Taipy

@evmond 7 ай бұрын

This feels like another streamlit / Gradio. Just spent got my head around those. Obviously datapipelines, etc are a bit more "enterprise" than streamlit depending on how you implement it, but this also seems like more of a lift. Does it have an code interpreter type capabilities which would be preferencial to dipping in and out of chatgpt for streamlit code when throwing ideas at a wall

@alexandresajus 7 ай бұрын

We have some capabilities, such as a VSCode extension (Taipy Studio), that provides completions when writing components in Taipy. We are working on giving LLM-based completions like Copilot to write Taipy code.

@intheworldofai 7 ай бұрын

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@Roscoestudio 6 ай бұрын

holy S this is Cool

@mko-ai 7 ай бұрын

this is the same as streamlit?

@evmond 7 ай бұрын

maybe without all the session state pain you have to go through with streamlit when you have to work with dynamic data or multiple users. but yeh, that was my initial throught

@alexandresajus 7 ай бұрын

(Taipy Engineer here) We actually used Streamlit in the past. Our gripe with it was how the backend event loop was managed. Streamlit re-runs your code at every user interaction to check what's changed (unless you cache specific variables, which is hard to do well). When your app has significant data or a significant model to work with or multiple pages or users, this approach fails and starts freezing constantly. We wanted a product that compromises between the easy learning curve of Streamlit while retaining production-ready capabilities: we use callbacks for user interactions to avoid unnecessary computations, and the front and backend are running on separate threads. We can run on Jupyter notebooks if that helps. We also focus on providing pre-built components to allow the end-user to play around with data pipelines quickly. These components enable the user to visualize the data pipeline in a DAG, input their data, run pipelines, and visualize results.

@xgodwhitex 7 ай бұрын

I actually used Streamlit in the past. The gripe with it was how the backend event loop was managed. Basically, Streamlit re-runs your code at every user interaction to check what's changed (unless you cache specific variables, which is hard to do well). When your app has significant data or a significant model to work with or multiple pages or users, this approach fails, and the app starts freezing constantly. Taipy is a product that does a compromise between the easy learning curve of Streamlit while retaining production-ready capabilities: it uses callbacks for user interactions to avoid unnecessary computations, front and back-end are running on separate threads. We also run on Jupyter notebooks if that helps. More than that, it also focuses on providing pre-built components to allow the end-user to play around with data pipelines quickly. These components allow users to visualize the data pipeline in a DAG, input their data, run pipelines, parallelize them, and visualize results with a whole management of scenarios and data

@intheworldofai 7 ай бұрын

TaskWeaver: Create LLM-Based Autonomous AI Agents - AutoGen 2.0!? (Installation Tutorial): kzfaq.info/get/bejne/gLlno5aQyJ_XYWw.html

@intheworldofai 7 ай бұрын

Introducing Google's NEW Gemini AI Model! Better Than GPT-4! - kzfaq.info/get/bejne/bJuHga6fvq2xqY0.html

@intheworldofai 7 ай бұрын

OpenCopilot: FREE Opensource AI Copilot Executing APIs (Installation Tutorial): kzfaq.info/get/bejne/fs-Im5ahu9adeac.html