I'm not sure if they're using Python per se, but Netflix gave an interesting talk at KDD 2018 on how they're using machine learning in various parts of film/TV

I'm not sure if they're using Python per se, but Netflix gave an interesting talk at KDD 2018 on how they're using machine learning in various parts of film/TV production. One example is optimizing the workflow of a special effects director. They described how a typical person spends one day of their week reviewing scripts to determine which scenes are going to require CGI. They're traditionally had to read every page in the script. Netflix built a model that filters scenes to just those that are likely to need effects, saving time. Of course, it's hard for me to independently verify the effectiveness of this model. If some false negatives get through (scenes that ought to have effects that aren't noticed until too late), I can imagine an effects supervisor not trusting the model and just reading everything. It doesn't seem to have been recorded, but there's the description: https://www.kdd.org/kdd2018/applied-data-science-invited-talks/view/jen-walraven https://www.kdd.org/kdd2018/applied-data-science-invited-tal...