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3.0 3.0 0.0 42.24 MB

Quantitative analysis of MODE-S information on the possible turbulence assessment of commercial aircraft

Python 99.51% QML 0.43% JavaScript 0.03% PowerShell 0.02% Dockerfile 0.01% HTML 0.01%
data data-analysis data-visualization database map mode-s mysql pyside2 pyside6 pysimplegui python python3 pythongui pythonmysql qml qt

aviosense_mode_s's Issues

Invalid Data

When starting the engine without refreshing the database, the engine will automatically load the database that was saved in the dump during the lattest refresh. But some how, the data from that dump are not valid: the engine only throw warning while computing, even though the dump database should be the as valid as a fresh database

Computing speed & RAM usage

For now, python list and dict and exclusively used to store data from the database. This leads to long computing time and high RAM usage. This can be optimized by using data types from panda & numpy for storing the data and do computation.

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