Python logging is one of the most effective tools for streamlining and optimizing workflows. Logging is the process of tracking and recording events that occur in a given system, such as errors ...

The problem I've noticed is that if I append the file with each of the 100k runs (one at a time), it can happen that two threads try to save to the file at the same time and some row (s) end up empty.