廣東話香港Python社群聚會 (Sammy Fung) (香港) 是線上 PyCon HK 2020 Spring 的一個廣東話環節。 演講片:https://github.com/pyconhk/pyconhk-presentations/blob/master/2020spring/What%20can%20we%20do%20for%20the%20Python%20community%20in%20Hong%20Kong%20in%202020.pdf 聚集香港Python開發者,以廣東話談論如何能在香港和國際間為Python貢獻,並尋找PyCon HK 2020 Fall的內容形式。 程度:初學者 講員: Sammy Fung Sammy是PyCon Hong Kong的主辦人,以及香港Python用家協會 facebook group 其中一位facebook管理員。 https://github.com/sammyfung https://hk.linkedin.com/in/sammyfung/ http://www.twitter.com/sammyfung https://sammy.hk/ 本節香港時間: 3:00 PM on 9 May 2020 Saturday.Session Time in GMT: 7:00 AM on 9 May 2020 Saturday. 相關英語講題: Sunday 11:00 AM: Decade of PyCon JP:…
Year: 2020
How to Transform Research Oriented Code into Machine Learning APIs with Python
How to Transform Research Oriented Code into Machine Learning APIs with Python (Tetsuya Jesse Hirata) (Japan) is an English session in the online PyCon HK 2020 Spring. Target Audience: The audiences can be engineers, data scientists, or researchers at junior or middle level who use python. This talk could be more beneficial for people who…
django-scim2: User provisioning at scale
django-scim2: User provisioning at scale (Paul Logston) (Taiwan) is an English session in the online PyCon HK 2020 Spring. Today, many large companies do not want to manually add and update their employees’ information in the web based services purchased for those employees. Historically, custom APIs have been built to handle automating this provisioning process….
Real Time Stream Processing with Python at Scale
Real Time Stream Processing with Python at Scale (Alejandro Saucedo) (United Kingdom) is an English session in the online PyCon HK 2020 Spring. This talk will provide a practical insight on how to build scalable data streaming machine learning pipelines to process large datasets in real time using Python Asyncio, Kafka, Faust, SpaCy and Seldon….
Fighting COVID-19 with Machine Learning
Fighting COVID-19 with Machine Learning (Ching Lam Choi) (Hong Kong) is an English session in the online PyCon HK 2020 Spring. In this talk, I will introduce my open source Python project, COVID-19 chest CT segmentation with PyTorch. I leverage the UNet model — a Fully Convolutional encoder-decoder network — for multi-class medical segmentation. Through…
What can we do for the Python community in Hong Kong in 2020?
What can we do for the Python community in Hong Kong in 2020? (Sammy Fung) (Hong Kong) is an English session in the online PyCon HK 2020 Spring. From the planning of PyCon HK 2020 in this fall, we discuss what can we do for the Python community for local and global in Hong Kong….
Decade of PyCon JP: How we spread the Python community in Japan (Takanori Suzuki) (Japan)
Decade of PyCon JP: How we spread the Python community in Japan (Takanori Suzuki) (Japan) is an English session in the online PyCon HK 2020 Spring. About 10 years have passed since PyCon JP was held in 2011. We have been doing various activities to spread Python community in Japan. I hope sharing activities, ideas…
Python Memory Management 101 (José Manuel Ortega) (Spain)
Python Memory Management 101 (José Manuel Ortega) (Spain) is an English session in the online PyCon HK 2020 Spring. In this talk I will try explain the memory internals of Python and discover how it handles memory management and object creation.The idea is explain how objects are created and deleted in Python and how garbage…
Why is it so difficult to retire an unused function? (Gavin Chan) (Hong Kong)
Why is it so difficult to retire an unused function? (Gavin Chan) (Hong Kong) is an English lightening talk session in the online PyCon HK 2020 Spring. Most developers must have faced a question of technical debt management – “Is it a good time to retire the existing but rarely used functions?”. The talk will…
Why should you learn writing C extension?
Why should you learn writing C extension? (Gavin Chan) (Hong Kong) is an English session in the online PyCon HK 2020 Spring. Are you sometimes frustrated by the performance of Python? Do you always look for open source library to speed up your process? Do you feel numpy cannot give you much edge to enhance…