O que fazemos

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

The PyData Code of Conduct (http://pydata.org/code-of-conduct.html)governs this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact NumFOCUS Executive Director Leah Silen (+1 512-222-5449; leah@numfocus.org ) or the group organizer.

Próximos eventos (1)

PyData Triangle Q4-2019 Meetup

Valassis Digital

We look forward to seeing you at PyData Triangle on November 6th for a buffet dinner at 6:00, some mingling among our members, interesting presentations and high energy discussions. Leading off will be Elliot Inman with his high tech IoT version of Steve Martin’s classic “Let’s Get Small” routine. His presentation will exhibit how Python can be used on micro-controllers. Next up will be Alex Koryachko who will draw some interesting comparisons between natural and artificial intelligence. Alex will outline the relationship between natural intelligent beings and the artificial intelligence that we are rapidly producing. Speakers: • Elliot Inman (Software Manager at SAS): Python for Micro-controllers • Alex Koryachko (Data Scientist at Valassis Digital): Natural Intelligence Lightning Talks: • YOU! Sign-up for a 5 minute lightning talk slot at the meeting. Or pre-sign-up by sending a message to the organizers. Schedule: • 6:00 - 6:30: Mingle and Food - Thank you Valassis for the great dinner • 6:30 - 7:45: Presentations • 7:45 - 8:00: Lightning Talks The PyData code of conduct ( http://pydata.org/code-of-conduct.html ) is enforced at this Meetup. Attendees violating these rules may be asked to leave the meetup without a refund at the sole discretion of the meetup organizer. Propose a talk or tutorial for the meetup. Contact any of the organizers Gene Ferruzza, or Chris Calloway through meetup messages. Follow us on twitter at: https://twitter.com/pydatatriangle Let’s Get Small: Python for Micro-controllers: In the world of Big Data, some of the most prolific data generating devices are also the smallest – micro-controllers that gather data from sensors and pump out an always-on high-speed bit-stream. Traditionally, these micro-controllers would have been programmed using assembly language or C. In the past couple of years, Python has been ported to the micro-controller world, providing Python programmers an opportunity to get much closer to bare metal and experiment with very small scale computing. This talk is a quick-start overview of MicroPython and the BBC’s Micro:bit board, CircuitPython and Adafruit’s Circuit Playground Express and Trinket M0 hardware, and the Mu Editor, a small footprint interface for programming these devices. The focus is on practical advice for how to get started and join the growing community of programmers using Python on micro-controllers. Natural Intelligence: Artificial Intelligence (AI) is a hot topic these days yet different people mean different things using this term. A common point of agreement could be that AI is trying to mimic human intelligence. However, recent advancements in the field of AI suggest that humanity may just serve as the final stepping stone, a biological boot-loader, for an intellectual power we can hardly imagine. So, how do our cognitive skills currently pace against the machines? How much of a gap do we have from the previous stepping stones in the evolution of intelligence? How does our intelligence work? What are the major barriers on our way to thinking efficiently? These questions are the primary focus of the talk on Natural Intelligence.

Eventos realizados (16)

PyData Triangle Q3-2019 Meetup

Valassis Digital

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