Build a Python Application

1) Creation of appropriate values ​​in the python to be read from the file chart with waveforms. (I have code in Python to display graphs and even it reads the initial values) Here, numpy and the application need it will use PyQt version 4 2) Adding the randomness of the chart (reading from the file only the basic thing adding data randomization -> simulation of the engine operation 3) Adding noise to the chart -> noise are random frequencies, which may mean a failure or some deflection in action (for example, let's give an engine) 4) It's nice if it was possible to connect some simple learning, that is how we will add noise, our program will ask if the noise is ok, how will we give it this way eg library for learning TenserFlow will learn that such noise is okay, and if it is not okay, it will display a message. Workflow: Program with empty graph -> "Enable simulation" button -> reads the initial values ​​(the values ​​from z are to be read in) We only read the initial values ​​of a for the simulation the rest should be generated (random) (here, freedom - you can also, for example set values ​​and save to a file and then read) -> flies graph (sinusoid) FTT (Fourier transform) at the bottom -> "Add noise" button -> appear noise frequencies -> (and here, for example, you have TenserFlow which like it detects deviating frequencies it will display a message if it is correct noise (because it may be). How it is okay and it remembers and saves somewhere to a file -> How not to okay To display the message or okay -> the user clicks and has to save this and this noise is incorrect.