Day 1, R2 16:05–16:50 不是每個人都需要成為工程師，但，略懂程式算是基本素養的要求了。每隔一段時間，總會有人問「怎樣學程式語言」「該看什麼書」。Python 號稱是對新手友善的社群，我們該怎樣協助初心者在自學路上走得更穩健呢？ 自學程式通常會經歷哪些階段呢？哪些瓶頸是常見的挑戰呢？真的可以快樂學習、無痛昇級嗎？非科班生可以半路出家學程式嗎？要有天份或熱情才能當工程師嗎？怎樣是有效的學習方法？教學工具不斷推陳出新，有哪些值得我們應用？最後，怎樣算是離開新手村呢? 怎樣從 Python 學習經驗獲得最大效益呢？ 即使自己沒有成為 Python 高手，還能享受 Python 小確幸，是吧？我們嘗試在這講題裡摸索方向… There should be one—and preferably only one—obvious way to do it. At least we tried to pick the right way. The speaker did not upload his slides. ... https://www.youtube.com/watch?v=iMX3uH7OSfU

Speaker: Albert Huang Bit-encoded parser in communication system is not easy to program, and usually written in C. Sometimes for lack of toolchain or reduction of memory footprint, programmers might still need to write it in assembly, and it's definitely not a happy task. The author tries to share his happy experience on rapid prototyping this kind of parser in Python, and later coded them in assembly running in an embedded processor. About the speaker 大學念交大電信系，研究所從清華資工所畢業後在通訊 IC 上從事 DSP 韌體設計，對於即時系統與通訊系統有著莫名的熱情，自從 2000 年學了 Python 之後，就一直愛不釋手，在公司裡面嘗試在所有非組合語言與 C 語言的場合都用 Python 建立方便的工具，近年來致力於讓數位訊號處理能夠深入淺出的讓有興趣的人能夠學習，希望減緩 DSP 實作的學習曲線。 個人網頁連結 http://alberthuang314.blogspot.com/ Twitter @AlbertHuang314 頭銜 Principal Firmware Engineer https://tw.pycon.org/2015apac/zh/program/32 ... https://www.youtube.com/watch?v=0xOW8hxWXRE

PyCon Taiwan 2023｜Talk 演講｜Day 1, R1 16:55–17:10 ? 說明 Description ? 樹莓派(Raspberry Pi)問世十週年了，從學校的教具到企業的量產品都可以看到 Raspberry Pi Inside。 這次我們將使用 Raspberry Pi + Python 和使用台灣在地木材的德川音箱製作阿里山小火車的影音導覽系統，讓遊客們能沉浸在阿里山的美好影音。 我們將在本場次說明 * 多節車廂同步播放影音(Python + PiWall/OMXPlayer) * 毫米級定位系統(Python + RTK GPS) * 遠端系統更新方案 * 未來專案方向 ? 講者介紹 About Speaker - sosorry ? Hi, I'm sosorry. 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/ ... https://www.youtube.com/watch?v=9DOXU2ffpkk

Day 1, 09:40–10:40 Artificial Intelligence has become overwhelming popular in recent years thanks to availability of big data and the advance of machine learning based models. Among them, solutions based on the Deep Neural Network (or DNN) have produced tremendous success in various applications including computer vision, natural language processing, etc. Nevertheless, one common concern for DNN-based solutions is that they are generally very complicated and can hardly be understood by human beings. This talk focuses on a specific type of deep neural networks called recurrent neural networks (RNN). It will not only demonstrate the power of an RNN model to learn from implicit information but also explain why the overwhelming performance can be achieved given its architecture. Slides not uploaded by the speaker. Speaker: 林守德 Shou-de Lin 林守德教授擁有台灣大學電機工程學士、密西根大學電機碩士、南加州大學計算語言學碩士學位和計算機科學博士學位，目前為國立臺灣大學資訊工程學系的教授。他創立台大的機器發明與社群網路探勘實驗室。在加入台大之前，他是羅沙拉摩斯國家實驗室的博士後研究員。林教授的研究包括機器學習和資料探勘、社群網絡分析和自然語言處理等領域。他的國際學術成就包括 2003 年 IEEE 網路智能會議最佳論文獎、2007 年 Google 研究獎、三度獲得微軟研究獎、IBM 研究獎助，2010 年及 2014 TAAI 優秀論文獎、2011 年 ASONAM 最佳論文獎，以及連續 5 年獲得美國空軍 AFOSR / AOARD 研究獎。他亦是 ACM KDD Cup 的 All Time Leader，領導或共同領導台大團隊贏得 5 次冠軍，也帶領研究團隊贏得 2016 年 WSDM Cup。他也曾獲得科技部吳大猷先生紀念獎，傑出人才基金會年輕學者研究獎，曾擔任 SIGKDD 的 senior program chair 及 ACL 的 area chair，目前是國際社群網絡探勘期刊、資訊科學與工程期刊和中文計算語言學期刊的副主編，也是科學人的「網路不打烊」單元作家之一。 Shou-de Lin is currently a full professor in the CSIE department of National Taiwan University. He holds a BS degree in EE department from National Taiwan University, an MS-EE degree from the University of Michigan, an MS degree in Computational Linguistics and PhD in Computer Science both from the University of Southern California. He leads the Machine Discovery and Social Network Mining Lab in NTU. Before joining NTU, he was a post-doctoral research fellow at the Los Alamos National Lab. Prof. Lin’s research includes the areas of machine learning and data mining, social network analysis, and natural language processing. His international recognition includes the best paper award i ... https://www.youtube.com/watch?v=mwLNMAiwQTA