Violation of the Code of Conduct after review may lead to permanent removal from the convention with no refund
By participating in PyCon Estonia Conference/Event Oct 2018, I understand that portions of the event will be photographed and/or audio/video-recorded for use by PyCon Estonia, Pycon Conferences, or news media. I agree that the PyCon Estonia, Pycon Conferences, and news media, has the right and permission to use and publish such media — which may include my name, likeness, voice, city/state of residence, or photograph — for any purpose in any format, online and/or offline, now and hereafter without further compensation, permission, or notification. I understand that all official recordings from the event are the exclusive property of the PyCon Estonia, available under the Creative Commons Attribution-ShareAlike license for general use, and I do not ask for nor expect compensation or notification of the use of official recordings or photographs in which I appear or speak.
PyCon Estonia is an annual conference aimed at promoting and educating people about the Python programming language.
We will have talks covering the usage of Python in various areas including topics: Machine learning and Data Science in health and fintech industries, will take a look at ICO market - is it myth, scam or business also will be talking about testing and security.
Join your fellow Pythonistas for the first annual PyCon Estonia, a day of talks, activities, fun and code! We aim to provide workshop like presentations, how things are actually done and less nice slides.
This is our first year, which means we are keeping the scope small to provide a better experience for attendees. This means we will be capping attendance at 250 people and will not be providing assistance with lodging.
08:30 |
Registration
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09:15 |
Killing Routine
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09:30 |
ICO - Myth? Scam? Business?
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10:00 |
Symbolic math in production robotics
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10:30 |
Creating Solid APIs
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11:00 |
Creating game servers with python and asyncio
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11:30 |
Python on microcontrollers? Why not?
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12:00 |
Text processing at scale from prototype to production
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12:00 |
Text processing at scale from prototype to production
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14:00 |
How to do Machine Learning with Health data
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14:30 |
Predicting health risks from medical pictures
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15:00 |
Predicting prescription drug marketing campaigns, based demographic, weather and sales data
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15:30 |
Predicting microloan defaults in a high-competition, high-risk consumer loan market.
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16:00 |
Using reinforcement learning in loan portfolio optimization
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17:00 |
Why How and What of Testing
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17:30 |
If a rubber duck does not help you find solutions at work anymore, what to do?
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