Schedule

Diving into LangChain, Streamlit & Claude on Amazon Bedrock to build Gen AI apps

Jiawei Lin - Gen-C (Generative AI Learning Community)

Jiawei will be giving an introduction of Gen-C (Gen AI Learning Community) and their recent activities such as the ASEAN LLM League and the monthly Gen AI sharing sessions. He will be doing a deep dive into the LangChain, Streamlit framework and how to create and deploy a Streamlit app on the free Streamlit Community Cloud. Jiawei will also be sharing how to integrate Claude on Amazon Bedrock into a Streamlit app. There will be a demo of a Streamlit app with Bedrock integration at the end of the presentation.

Building Cross Platform Apps in Python with Flet

Cyrus Mante - Accenture Philippines

Building cross-platform apps usually means juggling multiple languages and frameworks. Flet simplifies this by letting Python developers create real-time, multi-platform applications without frontend complexities.
This talk explores how Flet leverages Flutter to build professional-grade UIs while keeping development purely in Python. By abstracting complex widgets into intuitive controls, Flet allows developers to focus on logic without sacrificing design.
Through a live demo, you'll see how to build and deploy a Flet app across platforms. We'll cover its built-in web server, hosting capabilities, and real-time multi-user features.
By the end, you'll have the tools to integrate Flet into your projects, streamlining workflows and expanding your Python app's reach."

Build with Django: Your First Steps into Web Development

Freilla Mae Espinola - Misfit

Curious about how websites are built—and how you can create your own? This talk is your friendly introduction to Django, a popular Python web framework that powers everything from simple blogs to complex platforms. We'll break down what Django is, why it's beginner-friendly, and how it can help you turn ideas into real, working websites.
Whether you're a complete beginner or someone exploring web development for the first time, this talk will walk you through key concepts, show real-world examples, and share tips to help you get started with confidence.

Enlightened with Python: Is it making a difference or making things worse

Yudhapratama Nugraha - Institut Teknologi Bandung

In this session, I will demonstrate how Python can be leveraged to analyze the impact of public policies. While it might sound complex, Python simplifies the process significantly. Attendees will see visualizations that can tell a 'story' using geemap and Google Earth Engine. I will showcase the power of Python through simple yet powerful commands supported by these tools. By incorporating some statistical analysis, we can determine the actual impact of the development.
As technologists or enthusiasts, we can contribute to society by presenting data-driven insights, even if we cannot directly implement policies ourselves.

AI Accessibility: How to keep your users from rage quitting?

Anushka Narula - Adobe

AI-generated content and web apps often miss the mark on accessibility—think captions like “Probably a potato?” In this fun yet practical talk, I'll show how Python tools like axe-core, and TensorFlow can catch and fix these fails, making AI-driven interfaces truly user-friendly.

Unlock the Lock: Mastering Python MultiThreading Deadlocks Before They Master You

Han Qi - Monarch Tractor Asia Pacific

Ever stared at a Python thread deadlock and thought, "But... why now?" This talk dives deep into one of Python's sneakiest concurrency traps: a simple-looking ThreadPoolExecutor example from PEP 3148 that sometimes deadlocks—and sometimes doesn't. We'll unravel the mystery behind its behavior by combining theory, real-world debugging, and practical strategies for making nondeterministic deadlocks reproducible and understandable.
Attendees will leave with a reusable debugging strategy for multithreaded Python, insight into deadlock timing, and mental models to reason about nested concurrency (even mixing ThreadPoolExecutor and ProcessPoolExecutor). Bonus: you'll learn how to intentionally cause deadlocks—because to fix them, you must first control them.

Boosting API reliability: Property based testing in action

Vivek Kishore - EPAM

Ensuring the reliability of APIs and web services is crucial. However, traditional testing methods often miss edge cases or fail to cover a broad spectrum of potential input combinations. This is where property-based testing shines. Introducing Python based Schemathesis and Hypothesis.
In this talk, attendees will dive into property-based testing, an approach where properties of the system are defined, and tests are automatically generated to validate these properties. By using Schemathesis, a tool for testing OpenAPI and GraphQL specifications, along with Hypothesis, a powerful Python library for property-based testing, developers can test APIs in a way that traditional unit tests simply cannot match.

What's Good in Singapore? A personalised food recommender with Python

Ho Wei Sin - Ministry of Education

Join us for a flavorful hands-on session where we'll build a personalized food recommendation system using user reviews from Singapore's food delivery scene. In this beginner-friendly workshop, we'll explore how collaborative filtering works, train a recommendation model using the Surprise library, and provide recommendations. Whether you're a data enthusiast, food lover, or Python beginner, you'll leave with a working recommender engine and ideas for deploying ML-based apps.

Testing GenAI Applications

Adrian Cole - Elastic

This workshop introduces essential testing techniques for generative AI applications using tools like OpenAI CLI, SDK, mitmproxy, and OpenTelemetry. Participants will learn to set up environments, query language models, inspect HTTP traffic, and trace application behavior. Advanced methods such as offline unit testing and LLM-based output evaluation are also covered. The session includes hands-on Python development and testing, with time for discussion and Q&A.

Data handling and Machine Learning Introduction

Xie Kaiwen & team - Singapore Youth AI

This beginner-friendly workshop introduces participants to the core concepts of machine learning (ML) and deep learning (DL) through hands-on coding and interactive demos. Participants will start by exploring and preprocessing real-world data using Python libraries in Google Colab. They'll then build simple ML models gaining insights into supervised vs. unsupervised learning. The session will conclude with a gentle introduction to deep learning using PyTorch, including the creation of a basic neural network and a demo of pre-trained models from Hugging Face. Designed to be accessible yet engaging, this workshop equips attendees with a practical foundation in ML and DL to inspire further learning.

Build, deploy, monetize: unlocking new opportunities with Crawlee for Python

Saurav Jain - Senior Developer Relations Engineer, Apify

The Creator Developer Economy is giving developers new ways to turn their skills into recurring income. In this session, I'll show how you can use Crawlee for Python to build powerful web scrapers and how the Apify platform makes it simple to deploy and monetize them.
Since the launch of Crawlee for Python, more than 30% of all Actors on the Apify platform are now written in Python. With full support through the Apify Python SDK, it's easier than ever to build, deploy, and monetize Python-based scraping tools.