Name: September 2019 Meetup
Start: 2019-09-24T19:00:00+08:00
End: 2019-09-24T21:00:00+08:00
Location: Zendesk Office

Just like last month, Zendesk is welcoming us again at their new office. It is a really cool office, if you missed last month's meetup, this is your chance! :)

We are looking for speakers, so if you have something cool to share, please reach out to Martin Brochhaus here on meetup or via Facebook Messenger.

Agenda
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7:00pm: Meet and greet

7:30pm: "Unlock the Power of FPGAs through Python: Building Reconfigurable Embedded Machine Learning Based Systems with PYNQ" by Christopher Koh Seng Lee

Developing embedded systems traditionally requires one to use lower level programming languages such as C to achieve desired performance. This is no longer feasible with the dynamic requirements of Machine Learning, making the need to use higher level abstraction languages like python an absolute must.

Thankfully, acceleration of python codes on reconfigurable embedded systems is a reality today. Attend this talk to gain deeper insight into python based development on Xilinx PYNQ framework for Machine Learning inference application.

Christopher is a Field Applications Manager from Avnet Asia and has > 10 years’ experience developing embedded/FPGA applications for both the aerospace and defense and semi-conductor industry. His current specializations/interests are on machine learning, algorithms accelerations on Embedded/FPGA based platforms using high level abstraction languages.

8:00pm: "Introducing elasticsearch-fixtures" by Martin Brochhaus

Those doing web development might have heard about https://github.com/klen/mixer -- a brilliant little tool that allows you to create objects in your PostgreSQL or SQLite3 DB during your unittests. The problem is, this tool does not support Elasticsearch, so what if your unittests need to make requests to your Elasticsearch instance? Wouldn't it be great if you could add fixtures just as easily as with Mixer?

To solve this problem, Martin wrote a tiny wrapper around the Elasticsearch API and published it as open source: https://github.com/TheArtling/elasticsearch-fixtures

In this talk, Martin will show the (tiny) codebase of this repo and share a bit about his experience with writing unittests that rely on Elasticsearch.

Martin is the CTO of The Artling and has been working with Python and Django for more than 10 years and has been a web developer for more than 20 years. He is also one of the organizers of PyCon Singapore, which will take place in just under three weeks on October 10-12th.

Martin Brochhaus

Singapore Python User Group

Technology

Open Source

Python

Django

Programming Languages

Big Data

Data Analytics

Data Science

PyLadies

Python Web Development

Data Science using Python

Machine Learning

Open Source Python

Data Visualization

Software Development

Web Development

September 2019 Meetup

Zendesk Office

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Singapore Python User Group

September 2019 Meetup

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