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PyCon Taiwan

@PyCon Taiwan · TW

PyCon，亦即 Python 年會 (Python Conference)，是全球 Python 社群年度盛會。PyCon 由各地同好自發籌辦，而現在臺灣也有自己的 Python 年會了 (PyCon Taiwan)。這個活動旨在聚集台灣各領域應用 Python 的人，交流彼此的經驗心得，分享最新的技術發展，並親身體驗社群獨有的熱情。 PyCon, also known as the Python Annual Conference, is the annual event of the global Python community. PyCon is spontaneously organized by fellow locals, and now Taiwan has its own Python annual conference. This event aims to gather people who use Python in various fields in Taiwan to exchange their experiences, share the latest technological developments, and experience the unique enthusiasm of the community. #python #pycontw #pycontw2025 #pycast #younginspirers Follow “PyCon Taiwan” ⭐️ Official Website: https://tw.pycon.org ⭐️ Facebook: https://www.facebook.com/pycontw ⭐️ Instagram: https://www.instagram.com/pycontw ⭐️ Twitter: https://twitter.com/PyConTW ⭐️ LinkedIn: https://www.linkedin.com/company/pycontw ⭐️ Blog: https://conf.python.tw

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MLOps and Software Engineering Automation Challenges in Production – PyCon Taiwan 2025

PyCon Taiwan 2025｜Day 2, R2 14:00–14:45 🪄 說明 Description 🪄 As we work on semiconductor manufacturing lines, integrating AI solutions for manufacturing image analysis can significantly enhance chip productivity and yield rates. However, several challenges must be addressed: #1 Machine Learning Model Limitations - No single model can handle all types of image analysis. #2 Stakeholder Alignment in the AI Model Lifecycle. #3 Global Collaboration and Continuous Operations. To effectively address these challenges, establishing a Python-based generic MLOps framework for model lifecycle management with an automated software engineering process is essential. This framework enables developers to build models consistently by implementing predefined Kubeflow interfaces and deployed to GCP Vertex AI Pipelines and GCP components (eg. streaming Dataflow) via CI/CD, as well as to meet 0 data missing in the PROD env. By following this framework, the model development time can be reduced from weeks to hours, and deployment time can shrink from hours to minutes. https://tw.pycon.org/2025/en-us/conference/talk/353 🚀 講者介紹 About Speaker - 程俊培 🚀 中文: 目前擔任台灣美光記憶體股份有限公司-智慧製造與人工智慧-機器學習工程部經理. 在美光擁有4年以上領導工作經驗致力於產線自動化所需影像MLOps與軟體工程自動化, 其中團隊成員主要來自數據工程, 機器學習與資料科學等領域. 希望藉由此活動, 大家可以互相分享與學習, 進而解決實務上更困難的問題. English: Currently serving as a Manager of Machine Learning Engineering department at Micron Memory Taiwan's Smart Manufacturing and Artificial Intelligence. With over 4 years of leadership experience at Micron, I have been dedicating myself to optimizing image MLOps and software engineering essential for production line automation. Our team comprises experts from data engineering, machine learning engineering, and data science fields. Through this activity, I hope everyone can share and learn from each other to tackle more challenging practical problems. Follow “PyCon Taiwan” ⭐️ Official Website: https://tw.pycon.org ⭐️ Facebook: https://www.facebook.com/pycontw ⭐️ Instagram: https://www.instagram.com/pycontw ⭐️ Twitter: https://twitter.com/PyConTW ⭐️ LinkedIn: https://www.linkedin.com/company/pycontw ⭐️ Blogger: https://conf.python.tw/

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AI Guardrails：以 Python 構建企業級 LLM 安全防護策略 – PyCon Taiwan 2025

PyCon Taiwan 2025｜Day 2, R0 14:00–14:45 🪄 說明 Description 🪄 在企業導入大型語言模型（LLM）時，若缺乏適當的 Guardrails（防護機制），如同高速行駛卻未繫安全帶——平時無感，一旦出事便難以挽回。本演講將結合講者於企業顧問實務中觀察到的常見風險，包括敏感資訊外洩、模型產出失控與虛假生成（hallucination）等情境，進一步探討如何透過 Python、 Guardrails.ai 、LiteLLM 等開源工具，設計與實作可擴充的 Validator 結構。除基本實作外，也將說明如何於 Guardrails 導入生產環境（Ready-to-Production）階段時、需考量風險防控與成本效益的平衡，協助企業建構具備安全韌性與擴展性的 LLM 應用架構。建議對於 LLM 應用、Python 開發上有一定經驗者參與演講時才能更快了解情境和主題。 Slides: https://speakerdeck.com/nerohin/pycon-taiwan-ai-guardrails-yi-python-gou-jian-qi-ye-ji-llm-an-quan-fang-hu-ce-lue-by-nero-un-ruan-zhi-xuan https://tw.pycon.org/2025/en-us/conference/talk/345 🚀 講者介紹 About Speaker - Nero Un 阮智軒 🚀 來自澳門的開發者，現職 IBM 顧問，具備豐富的資料科學、資料工程與人工智慧領域實務經驗，曾參與醫療、金融及製造業等跨產業專案，累積多元的產業洞察、解決方案設計與系統開發經驗。畢業於高雄醫學大學，並取得成功大學醫學資訊研究所碩士學位。曾於生醫新創公司擔任 R&D 及 TPM。熱衷研究技術探索推動變革的可能，深信科技的力量能為世界帶來影響與改變。 A developer from Macao, currently serving as a Consultant at IBM, with practical expertise in data science, data engineering, and artificial intelligence. Graduated from Kaohsiung Medical University and holds a master’s degree in Medical Informatics from National Cheng Kung University. Previously served as an R&D engineer and TPM at a biomedical startup. Passionate about exploring technology to drive transformative change, and firmly believes in the power of technology to influence and reshape the world. Follow “PyCon Taiwan” ⭐️ Official Website: https://tw.pycon.org ⭐️ Facebook: https://www.facebook.com/pycontw ⭐️ Instagram: https://www.instagram.com/pycontw ⭐️ Twitter: https://twitter.com/PyConTW ⭐️ LinkedIn: https://www.linkedin.com/company/pycontw ⭐️ Blogger: https://conf.python.tw/

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Day1 Opening – PyCon Taiwan 2025

PyCon Taiwan 2025｜Day1 Opening Follow “PyCon Taiwan” ⭐️ Official Website: https://tw.pycon.org ⭐️ Facebook: https://www.facebook.com/pycontw ⭐️ Instagram: https://www.instagram.com/pycontw ⭐️ Twitter: https://twitter.com/PyConTW ⭐️ LinkedIn: https://www.linkedin.com/company/pycontw ⭐️ Blog: https://conf.python.tw

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AST Black Magic: Run synchronous Python code on asynchronous Pyodide – PyCon Taiwan 2025

PyCon Taiwan 2025｜Day 1, R3 13:20–13:50 🪄 說明 Description 🪄 The `ast` module allows you to manipulate the AST (Abstract Syntax Tree) and change the behavior of the code at runtime. I would like to introduce it with an interesting use case on Pyodide, a Python distribution for the browser. Pyodide has some differences from the CPython due to its asynchronous nature, so the code that works on CPython may not work on Pyodide. For example, `time.sleep()` does not work on Pyodide and you need to use `await asyncio.sleep()` instead. However, you may want to run the code written for CPython on Pyodide for interoperability. In such a case, you can modify the AST to make it work on Pyodide without rewriting the source code. In this talk, I will explain the AST manipulation with the `ast` module. Then I will share some practical examples that I actually implemented in my Pyodide-based project to run CPython-targeted code. They should have insights about how to use the `ast` module to solve some problems with actual examples. Slides: https://slides.whitphx.info/202509-python-ast-transform-async/ https://tw.pycon.org/2025/zh-hant/conference/talk/340 🚀 講者介紹 About Speaker - Yuichiro Tachibana 🚀 Yuichiro is a professional software developer with a deep passion for open-source software. After contributing to software product development across several machine learning startups, he joined Hugging Face in 2023. He is developing and maintaining several OSS projects, including Stlite, Gradid-Lite, and Transformers.js.py. Follow “PyCon Taiwan” ⭐️ Official Website: https://tw.pycon.org ⭐️ Facebook: https://www.facebook.com/pycontw ⭐️ Instagram: https://www.instagram.com/pycontw ⭐️ Twitter: https://twitter.com/PyConTW ⭐️ LinkedIn: https://www.linkedin.com/company/pycontw ⭐️ Blogger: https://conf.python.tw/

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基於沉浸式體驗的健身自行車服務開發經驗談 – PyCon Taiwan 2025

PyCon Taiwan 2025｜Day 2, R4 11:30–12:15 🪄 說明 Description 🪄 隨著資通訊技術的快速發展，也帶動了各式各樣的產業發展，以運動產業發展為例，有越來越多的技術導入讓運動科技得以蓬勃的發展，而為了要讓民眾與年長者更有意願的進行運動，在本議程中旨要介紹講者設計與開發一套基於沉浸式體驗的健身自行車服務，讓一般民眾與年長者能夠在室內騎著健身自行車也會有身歷情境的感覺，除了讓使用者體驗有趣的活動之外，更重要的是使用前述的服務讓使用者達到健康促進的目的，以及讓喜歡運動的人持續運動，讓不喜歡運動的人開始運動。 Slides: https://slides.com/peter279k/pycon-2025 https://tw.pycon.org/2025/en-us/conference/talk/341 🚀 講者介紹 About Speaker - Peter 🚀 喜歡專注在後端程式、資料庫與系統架構等領域，使用 PHP與Python 作為後端開發已經超過 6 年的時間，同時對於開放源始碼抱持著高度的熱情，有時遇到開源專案有 bug 時，就會嘗試動手來協助修正。截至目前為止，已經有超過 1000 個 PR 被 merge，也在貢獻開源專案的過程中，學到許多撰寫程式碼的技巧，同時也不吝在各大技術研討會進行技術的分享，如：COSCUP、MOPCON以及LaravelConf等。 Follow “PyCon Taiwan” ⭐️ Official Website: https://tw.pycon.org ⭐️ Facebook: https://www.facebook.com/pycontw ⭐️ Instagram: https://www.instagram.com/pycontw ⭐️ Twitter: https://twitter.com/PyConTW ⭐️ LinkedIn: https://www.linkedin.com/company/pycontw ⭐️ Blogger: https://conf.python.tw/

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An Introduction to the GIL for Python Beginners: Disabling It in Python 3.13 and – PyCon Taiwan 2025

PyCon Taiwan 2025｜Day 1, R3 10:50–11:20 🪄 說明 Description 🪄 In this presentation, aimed at Python beginners interested in parallel processing, we will explain the fundamental concepts of the Global Interpreter Lock (GIL) in Python and discuss its impact on programming. Specifically, we will touch upon the ability to disable the GIL in Python 3.13 and provide practical advice on how beginners can approach the GIL to achieve efficient concurrent processing. https://tw.pycon.org/2025/en-us/conference/talk/352 🚀 講者介紹 About Speaker - Yu Saito 🚀 Yu Saito is currently working as a Technical Specialist for Azure at Microsoft Japan. Prior to joining Microsoft, Yu was a graduate student specializing in bioinformatics. During this time, he developed machine learning models to accelerate molecular dynamics simulations. This experience sparked his interest in Python, which continues to be a key area of expertise. Follow “PyCon Taiwan” ⭐️ Official Website: https://tw.pycon.org ⭐️ Facebook: https://www.facebook.com/pycontw ⭐️ Instagram: https://www.instagram.com/pycontw ⭐️ Twitter: https://twitter.com/PyConTW ⭐️ LinkedIn: https://www.linkedin.com/company/pycontw ⭐️ Blogger: https://conf.python.tw/

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資料擷取時間：2026-09-07T07:51:58.000000Z

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