R2 DAY2-02 Data Analysis in Wearable Technologies - Jennifer Ma (PyCon APAC 2015)
Speaker: Jennifer Ma
The market of "Wearables" is growing fast. Data generated from fitness bands, mobile phones, and other wearable devices increases every day. However, can doctors really use these information to diagnose diseases, prevent injuries, or promote health? In this talk, I will apply analytic tools in Python on blood pressure, blood sugar, heart rate, and data from actimeter (accelerometer), trying to bridge the gap between clinical practice and modern gadgets.
About the speaker
組織/公司 Taipei City Hospital RenAi Branch 頭銜 Family Medicine Resident
Day 2, 11:30-12:00
Abstract
The talk will introduce TronGisPy using two use cases, Crop Farmland Classification and Forest Tree Types Classification. TronGisPy is an image preprocessing tool for machine learning and developed to master GIS imagery’s peculiarities. Often, the enormous size of images and inconsistency of datatype or bands (e.g. float or 16-bit integer) are primary challenges; yet, data scarcity (e.g. one per week) remains as the major limitation. This highlights TronGisPy’s capability to process the GIS images for general ML models. The popular functions used in both use cases will be introduced such as plotting, cliping, mapping, proojection, spliting and terrain analysis functions. For more functions in TronGisPy, please refer to: https://github.com/thinktron/TronGisPy.
Slides not uploaded by the speaker.
HackMD: https://hackmd.io/@pycontw/2021/%2F%40pycontw%2FS1JfO75GF
Speaker: 王選仲
Innovative and motivated AI engineer with strong integration and problem-solving skills. Focusing on computer vision & time-series machine learning research and implementation, especially in the GIS & remote sensing field, for 3 years. 2+ years’ industry experience in helping enterprises import AI functions in their business flow. Enterprises include CPC corporation Taiwan(台灣中油), Chinese Society Of Photogrammetry & Remote Sensing(中華航測學會), New Taipei City Fire Department(新北消防局), Taiwan Forestry Bureau Aerial Survey Office(台灣農航所) and Sinotech Engineering Consultants (中興工程顧問社) Bachelor’s degree experience in public finance and 5+ years’ experience in debate club. In addition, proficient in business process flows, in logical thinking and in oral presentation.
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https://www.youtube.com/watch?v=Nv02_FMfn1Y
Speaker: Dan Maas
Our Python server drives top MMO strategy games like "Thunder Run: War of Clans", with 4 million accounts and over 1,000 concurrent logins. This talk will explain the basic architecture of our server-side software, with special focus on how we use the open-source Twisted library to write high-performance, low-latency network code.
我會講中文,希望可以用中文發表此演講
About the speaker
Dan Maas leads software architecture as CTO of SpinPunch, a Y Combinator startup developing the world's most advanced HTML5 game engine.
Previously, Dan created Emmy Award-winning computer animation for Disney, National Geographic, PBS, and the BBC. His novel 3D graphics pipeline was recognized by NASA/JPL and Pixar for creating spectacular space mission visualizations.
個人網頁連結 http://www.dcine.com/
Twitter @mbagamer
組織/公司 Maas Digital / SpinPunch
頭銜 CTO
https://tw.pycon.org/2015apac/zh/program/25
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https://www.youtube.com/watch?v=_OtljArfvwU
Day 2, 13:50–14:20
Zendesk's Chat backend platform is largely powered by Python. Over the years, we have introduced hundreds of open source libraries into our codebase. We have seen multiple production incidents that arise from improper pinning of package versions or incompatible versions between different libraries. Thus a proper application management resolution solution is in need.
Firstly, I will introduce the concept of application dependency management and why it is a hard problem.
Then I will go in depth to share the journey of how we in Zendesk resolved the dependencies issue and slowly prepare itself for the new pip resolver. In particular, I will talk about the behavior of different pip versions when it comes to handling version conflicts and what pip check is and how to use it.
Lastly, I will briefly mention other tools available and give recommendation when to use which and answer questions from the audience.
Slides: https://drive.google.com/file/d/1AZoWKI3OQfpFETD2NoT6C9spanrsrOSG/view?usp=sharing
Speaker: Liuyang Wan
to be added
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https://www.youtube.com/watch?v=DGL7SYZk_Oc
PyCon Taiwan 2023|Talk 演講|Day 2, R2 11:35–12:05
? 說明 Description ?
Today, there are many tasks to repeat in the company/community.
In addition, we often use chat such as Slack for daily communication.
So, I created a chatbot([PyCon JP Bot](https://github.com/pyconjp/pyconjpbot)) to automate various boring tasks related to holding PyCon JP.
In this talk, I will first explain how to create a chatbot using [Bolt for Python](https://slack.dev/bolt-python/concepts).
I will tell you how to registers bot's integration on Slack and how to create a simple bot in Python that responds to specific keywords.
? 講者介紹 About Speaker - Takanori Suzuki ?
Takanori is a Chairperson of PyCon JP Association(www.pycon.jp).
He is also a director of BeProud Inc.(www.beproud.jp), and his title is "Python Climber".
Takanori held PyCon JP 2014 to 2016 as the chairperson.
Currently he teaches Python to beginners as a lecturer at Python Boot Camp(pycamp.pycon.jp) all over Japan.
In addition, he published several Python books.
Tananori plays trumpet, climbs boulder, loves Lego, ferrets and beer.
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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https://www.youtube.com/watch?v=kgANBlM_wtQ
Day 2, R2 14:10–14:40
Probabilistic programming allows us to encode domain knowledge to understand data and make predictions. TensorFlow Probability (TFP) is a Python library built on TensorFlow that makes it easy to combine probabilistic models and Deep Learning. With TensorFlow 2.0, TFP can be very easily integrated into your code with very few changes and the best part - it even works with tf.keras!
This talk will teach you when, why and how to use TensorFlow probability.
Slides not uploaded by the speaker.
Speaker: Niladri Shekhar Dutt
Undergraduate Researcher working in the field of Deep Learning and its applications in the field of Computer Vision and NLP. He was a visiting student at the University of California, Berkeley for Spring 2019, where he worked at the CITRIS Lab. He has won several hackathons including San Francisco DeveloperWeek Hackathon 2019 (America’s largest challenge-driven hackathon). His current research focuses on self-driving cars and training machine learning models with limited data.
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https://www.youtube.com/watch?v=0TRHZdyp-xY