A __pycache__ folder appeared in the Python project folder

Since a simple local extremum is not sufficient, we need to add a threshold check to filter out small peaks and artifacts. The threshold can be calculated as the sample [standard deviation] multiplied by some constant corresponding to the confidence interval for the mathematical expectation.
In practice, this constant is taken as 2.5.

UPD
Taking into account the additional conditions of the problem, a peak should be considered as the maximum on the segment from the "top" (starting point or the first value above q) to the "bottom" (the first value below -q).
In this case, for an array of size n, the following algorithm is possible:

1. Find the standard deviation of the sample and calculate the threshold q.
2. Set top=0.
3. Find the coordinate bottom