Talks

Talks are the core part of the conference, where speakers from Taiwan and around the world share their experiences and insights in Python-related fields.Each talk is scheduled with different lengths and formats depending on the depth and nature of the topic.

Start planning your schedule and mark down the sessions you are excited about!

Session details may be adjusted throughout the event. We will keep this page up to date, so feel free to check back anytime for the latest info.

Talks

從熟悉 Python 到貢獻 CPython：第一個 PR 的切入指南

From PyCon APAC to PythonAsia: Building Connections Across Communities

What I Learned (and Broke) Migrating Large-Scale Production Data From SQL to NoSQL via PySpark

Getting Started with Signal Processing in Python: Visualizing Sound with Spectrograms

The hidden current context: understanding `contextvars` through real-world runtime problems

pybind26: 從頭刻一個 HPC bridge 有多難

The Hidden Protocol Behind Clean Python APIs: A Practical Guide to Descriptors

原來蟒蛇不會吃鴨子? 一段關於輕量 ETL 分析的故事

我在「醫」世界用 Python 召喚虛擬病人這件事

Learning Python Through KangaCode: How an RPG Structure Increased Focus and Self-Directed Learning

別把 GIL 時代的思維帶進 Free-threaded Python：從 Rust 視角重新理解 Python 並行

打造企業級的金融 AI 服務鏈: Python 串起 ML、XAI 與 LLM 的實戰經驗

Eval-Driven Development for GenAI Systems

Stop Trusting Your LLM. Start Breaking It.

Learn Japanese with Manga! Building a Multimodal Search Engine with Gemini Embedding 2

Pods, Probes, and Play: Gamifying Kubernetes with Python

Discord 不只是聊天室：PyLadies Kaohsiung 的 Bot 實踐與社群實驗

AI Coding 不只是工具升級-區域醫院醫療資訊系統協作開發與資訊團隊轉型實踐

JIT in the Wild: CPython’s Next Step vs PyPy and V8 (With Real Benchmarks)

天文資料還能用來混音？用Python將星光節奏化為DJ素材

Avoiding Zero-Trade Policies in RL with a Decoupled MLOps Architecture

Harness OSINT：用 Python 讓 AI agent 駕馭寫不出 spec 的任務

The Voice Memo Graveyard: Building a Second Brain for Musicians with Python

Python eBPF: BCC C-String Runtime vs Python-BPF AST Ahead of Time

Let's Build a Nutrition Agent with JAX: RL Fine-Tuning a Small Model

Learning from 6,000+ Prompts to My AI App Without Reading the Messages: Privacy-First Topic Modeling in Python