Taipy invites you to their event

Python Taipy apps: Deployment and production guidance webinar: Moving from "it works on my machine" to "it works for everyone."

About this event

Stop writing glue code. Join this developer-first session to learn the architecture behind production-ready Taipy applications.

The "Pain": Application building is hard. It often involves building UIs, writing manual scripts for scheduling, and managing versions when users start relying on production data.

The "Gain": In this technical session, we bypass the fundamentals to focus on the "Day 2" challenges of application development. We will provide the actionable deployment or production guidance, diving into the code and architecture that bridges the gap between a local prototype and a deployed decision-support system.

The "Outcome": We will showcase industry-specific Taipy applications.


The "Key Technical Takeaways":

• 🛠 Architecture & Deployment: Learn actionable deployment or production guidance, diving into the code and architecture that bridges the gap between a local prototype and a deployed decision-support system.

• ⚡ Native Version Management: Get the right deployment or production guidance to handle application versioning and data lineage natively, ensuring you can safely update your app without breaking user trust.

• 📊 Performance at Scale: Discover how to render large datasets and high-performance analytics without hitting browser bottlenecks.

• 🏢 Integration with AI Agents: How to integrate LLMs or Chat Bots into a Taipy application.

• 🏢 Real-World End-User Application Demos: Showcase exactly how these backend developer foundations translate into seamless, personalized interfaces for your users, such as Role-based applications...


Agenda:

1. Code & Architecture: Implementing the Scheduler, Versioning, and Activity Tracking.

2. UX Patterns: Creating role-based interfaces and rapid templates.

3. Live Demos: Deep dive into simulation and decision-support apps.

4. Live Q&A: Technical questions answered by the core team.


Who is this for?

Python Developers tired of maintaining "fragile" internal tools.

Data Scientists who need to deliver interactive apps, not just notebooks.

Tech Leads looking for a governance framework for their team's Python stacks.


Speakers:

  • Fabien Lelaquais, CTO at Taipy
  • Jean-Robin Medori, CPO at Taipy

Hosted by

  • Team member
    T
    Rym Michaut Head of Communication and Digital Marketing @ Avaiga

    I've always found myself at the crossroads of 𝗱𝗮𝘁𝗮 𝘀𝗰𝗶𝗲𝗻𝗰𝗲, 𝘀𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀, and 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻. My journey has taken me through the exciting world of data and open-source, where I've embraced the challenge of making sense of complex information.

Taipy

Taipy

The open-source Python library to build Data & AI web applications