How to interpret Logistic regression coefficients using scikit learn
Significance: As far as I know, sklearn does not come with a module to get p-values. You could go for statsmodels: 

https://stackoverflow.com/a/55655645/9524424

Interpretation: Remember that Logit uses a logistic link function, so there is no easy on-the-go interpretation of the coefficients. You need to calculate marginal effects, so the change in $y$ when you alter some $x$, all other things equal. Stata has such module(s). However, I think sklearn has no such implementation. Python statsmodels seems to come with an option to derive marginal effects as well, but I never tried it. Look for .get_margeff.

https://www.statsmodels.org/stable/generated/statsmodels.discrete.discrete_model.DiscreteResults.get_margeff.html