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@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
查看 YouTube 頻道![[PyCon TW 2024 回顧] 來自 PSF Board Members 的祝福 縮圖](https://i.ytimg.com/vi/VcElItxMn2g/sddefault.jpg)
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
![[PyCon TW 2024 回顧] PSF Board Member - Kwon-Han Bae 開幕影片祝福 縮圖](https://i.ytimg.com/vi/IyFlhjAKHaI/sddefault.jpg)
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
PyCon Taiwan 2025｜Day 2, R1 14:00–14:30 🪄 說明 Description 🪄 "Arguably much of the understanding of the world around us is based on the perception and recognition of shared or repeated structures, and so is our sense of beauty [Thompson 1961]" I'll explain step-by-step how we started by identifying repeated patterns as patches in images by eye, then searching for similar instances via mathematical correlation, then, to avoid strong human bias we moved to autocorrelation, incorporating rotation and mirroring degrees of freedom, using Python and numba (@jit). I'll then explain how we moved to standard forms of unsupervised machine learning with rotation and reflection invariance so that we could expand our search to a larger and more diverse database of (Physics STM) images. I will cover in detail how, using Python, we implemented patch searching, image hashing using discrete cosine transforms, then finally geometrical hashing based on positions of atoms and clusters. THOMPSON, D. W. 1961. On Growth and Form. Cambridge. https://tw.pycon.org/2025/zh-hant/conference/talk/347 🚀 講者介紹 About Speaker - David Mikolas 🚀 BS. Astronomy, Ph.D. Nuclear Physics, then some nanofabrication and then some fiber optics, then on to semiconductor process development and then critical dimension and thin film crystallographic texture metrology, now back to Physics, surface science, 2D materials and electron diffraction metrology. Currently I work as a postdoc in the NTHU department of Physics. https://sites.google.com/view/sjt-surfacescience/ We study new 2D materials - their properties and how to make them. Would you like to join us? 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/
PyCon Taiwan 2025｜Day 2, R0 13:20–13:50 🪄 說明 Description 🪄 隨著大型語言模型(LLM)的應用日益廣泛，「幻覺」產生錯誤資訊的問題成為關鍵挑戰，然而人工評估每個輸出既耗時又成本高昂。本演講聚焦於「LLM-as-judge」領域，介紹如何結合Python與Chain of Verification(CoVe)框架，建立自動化驗證機制。我將分享如何擴展原始CoVe框架，透過整合Python REPL執行環境與ReAct（推理+行動）範式，實現動態資料驗證。這種方法不僅能有效減少幻覺問題，更大幅降低人工審核需求。演講將包含實驗結果分析，比較不同模型的準確率，並展示Python執行軌跡如何幫助驗證過程。無論是數據分析師、AI開發者或對LLM應用感興趣的Python愛好者，都能從中獲取實用技術與解決方案。 https://tw.pycon.org/2025/en-us/conference/talk/362 🚀 講者介紹 About Speaker - Kevin Tseng 🚀 專注於資訊操作(IO)的研究員，曾於資策會研究PTT上的異常操弄，開發辨識協同行為的模型，也任職過研究資訊操作的單位，帶領分析師於俄烏戰爭，調查中文環境的異常行為，近期於政大在職碩士時，以LLM Agent尋找證據作為畢業論文，並於目前的工作以此為研究題目之一，繼續探索 LLM Agents 在這個領域的未來。我也樂於參與社群活動，曾於PyData Taipei演講，並在台灣資料科學社群(TWDS)擔任過導師與講者。 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/
PyCon Taiwan 2025｜Day 1, R1 14:00–14:45 🪄 說明 Description 🪄 Data Engineer jobs regularly include scheduling or scaling workflows. But have you ever asked yourself, can I **scale my scheduling** ? It turns out that you can! But doing so raises a number of issues that need to be addressed. In this talk we will be: - Resuming Data-aware scheduling in Apache Airflow - Discussing diverse methods to upscale our scheduler - Choosing a specific solution to synchronize Airflow Datasets between instances - Discussing some roadblocks and limitations that we have met along the way All of this in the context of a professional production environment. Thank you for your time, I hope you enjoy the talk. Slides: https://speakerdeck.com/sebcr/apache-airflow-synchronizing-datasets-across-multiple-instances https://tw.pycon.org/2025/en-us/conference/talk/350 🚀 講者介紹 About Speaker - Sebastien Crocquevieille 🚀 Who: - Data Engineer currently working in Taiwan - French & Mexican - Speak EN, FR, ES & some ZH What: - Hadoop, PySpark, Kubernetes - Open Source enthusiast - Tech for Good - Basketball & Video Games Where: - Europython 2019-2024 - Pycon TW 2023 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/
PyCon Taiwan 2025｜Day 1, R1 13:20–13:50 🪄 說明 Description 🪄 Apache Airflow 3.0 is here, bringing an enhanced user experience and exciting features like dag versioning, newly designed data-centric syntax, event-driven scheduling, and a brand-new task execution interface that opens up the possibility of writing an Airflow task in a language other than Python! In collaboration with the Ruff team, we have developed linting and auto-fixing rules that simplify the upgrade process, enabling seamless code upgrade with just one command. At the end of this talk, I will share our experience of upgrading from Airflow 1 to Airflow 3 through a real-world open-source use case. I will highlight the challenges we faced and how we utilized the new features to optimize our data workflows. Whether you are a seasoned Airflow user or new to it, this session will provide you with valuable insights to enhance your data orchestration capabilities. Slides: https://speakerdeck.com/leew/unlocking-the-future-of-data-pipeline-942ed56f-0083-4e25-9e30-04850095e824 https://tw.pycon.org/2025/en-us/conference/talk/366 🚀 講者介紹 About Speaker - 李唯 (Wei Lee) 🚀 Wei Lee is an open-source ethicist. He is currently a volunteer for PyCon Taiwan 🇹🇼 and serves as a maintainer for commitizen-tools. Additionally, he is an Apache Airflow committer and acts as both an Apache Airflow mentor and Meme Bot for OpenSource4You. In his free time, Wei enjoys exploring the world through travel, and attending PyCon events allows him to do just that. He has already participated in several PyCon events, including PyCon TW 🇹🇼, PyCon US 🇺🇸, PyCon JP 🇯🇵, PyCon CA 🇨🇦, PyCon APAC 🇵🇭, DurianPy 🇵🇭, and EuroPython 💻 🇨🇿, with more PyCons to come. Personal Website: https://wei-lee.me Twitter: @clleew 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/
資料擷取時間：2026-09-07T07:51:58.000000Z
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