Python library for data scaling, centering and Box-Cox transformation

For scaling and centering you can use preprocessing from sklearn:

from sklearn import preprocessing
centered_scaled_data = preprocessing.scale(original_data)

For Box-Cox you can use boxcox from scipy:

from scipy.stats import boxcox
boxcox_transformed_data = boxcox(original_data)

For calculation of skewness you can use skew from scipy:

from scipy.stats import skew
skness = skew(original_data)

You can read more details about Resolving Skewness in this post. Also, you can find more details about Centering & Scaling here.