Closed rdustinb closed 9 years ago
So far from a user perspective this has no visible impact on the initial start up of the application.
Need to separate the process of pulling the remote data and actually drawing the graphs. This should be a supplier/consumer model of Python processes, one to write the data locally running on a cronjob or such and the other is my current application, simply parsing the local data files.
Downloading and parsing is not causing the bottleneck in performance. Closing.
Determine if this is a valid performance increase. After initially restructuring one of the data set blocks to use more efficient Python schemes, the performance wasn't increased as much as hoped. It is possible that the issue is just the access of the NOAA data.