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Design: Adobe Illustrator, GIS for Maps
Printing: Gaston Printing and Signs
Craig Brickser from CTD Trail Design provided the base GIS layer gave the map some depth. I then used reference points, old GPS data from previous rides and exploratory rides to overlay this onto the maps, to create the trail lines. There is a fine line with regards to how much, or how little detail to show on public facing maps, so there was some trial and error. Included are some early versions, and mockups of the existing trails.
This main map was (and is still) used to create the individual loop maps at the hub of each trail.




Lesson: Maps are not static … shortcuts, additions, changes, removals and closures make them a on-going maintenance component 🙂


















This was a fun project app, I often used my iPhone to record my golf swing at the range or in my golf simulator, but it was always time consuming and tedious to “hit record” – hit a golf shot – “hit stop”. I sometimes missed the shot, had too long of a lead in, lead out or was interrupted. Trying to solve this I thought of multiple ways that “just the swing” could be recorded; a button to record, stop? Machine learning with various “hit boxes” using video or using “Sound” as a trigger for the shot, which is what I ultimately ended up using. Setup your phone, hit record and just het shot would be recorded 🙂 Essentially I created an app that has a temporary video capture buffer, and that each shot gets clipped and trimmed for each ball hit. Pretty simple and effective.
API based trading …
https://github.com/sanko/Robinhood/blob/master/Markets.md
Realtime Stock Prices
Quant Apps:
https://github.com/maihde/quant – Python – 6 years old 🙁
https://github.com/femtotrader/pythalesians – Python
http://gbeced.github.io/pyalgotrade/
https://github.com/DMTSource/daily-stock-forecast – looks cool, requires google app engine?
https://github.com/Divya5595/Stock-Forecast – Stock forecast
https://github.com/Nazanin1369/stockPredictor – long term stock forecasting using LSTM
https://github.com/adeshpande3/Quandl-Machine-Learning/blob/master/QuandlTest.ipynb – Quandl data download review in iPython



















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