I made a Dash app to visualise data I found interesting. There is a lot of data here, 2.6gb from Facebook.
GPS coordinates were either web-scraped or using Googles Geolocation API.Įverybody is now well aware that Facebook collects your data for personalised ads but how much data do the really collect and store? Thanks to General Data Protection Regulation (GDPR) laws in Europe, it is now easy to download and sift through this data. The web-scraping was done in Python using a combination of Requests, Beautiful Soup and Selenium. The locations, brief details and url link to comprehensive information where web-scraped off the main activity websites. Heroku makes it easy to deploy the app once the dependencies are specified. Dash was created by Plotly to easily create interactive graphing apps in Python without having to write any Java Script. This allows for easy adventure planning packing the most into a weekend ensuring you don’t miss a spot. usdz file to be viewed on a phone in AR.Īdventure Outside is a website that collates location of all the outdoor activities in Australia. I then used Python to extract the simulation data and animate the simulation in Blender. I created a simulation of a yacht on anchor while in shifty winds. I showed the model examples of how to write OrcaFlex code and then replicated some code which I had written for extracting wave elevation, velocity and acceleration. The model does not have any pre existing knowledge of the OcraFlex API as it was not in the training data.
It was trained on over 175 billion words scraped from the internet and code from Github. Here Write OrcaFlex Code with Codex OverviewĬodex is a language model created by Open AI that translates natural language into code.
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