I'm not sure specifically what their setlist in relation to Pulp Fiction was in 2023. You could try checking their official website or social media pages for more accurate information.
Well, it could be about luxurious and elaborate meals that were served to kings in the past. Maybe it details the types of rare ingredients, like the finest cuts of meat, exotic spices, and the most delicate fruits that were part of a king's diet.
I'm not sure specifically which 'fit for a king story' you mean. It could be a story where the events or items are of a very high quality or grandeur, suitable for a king. Maybe it's about a luxurious feast or a great adventure that only a king could experience.
Perhaps the king himself is a main character, as the food is fit for him. And the royal chef who prepares the sumptuous meals could also be a main character.
There's also the story of Mansa Musa, the king of Mali. He was one of the richest men in history. When he made his pilgrimage to Mecca, he brought with him a large caravan of gold, slaves, and soldiers. He spread his wealth along the way, building mosques and giving out gold. His journey was a display of extreme opulence and power, which is very much 'fit for a king'. His story shows his influence over a large part of Africa and his ability to amass and distribute vast amounts of wealth.
Another option is to look for concert reviews from 2023 shows. Fans often write about the songs played at the concert. Also, YouTube might have some fan - recorded videos of the shows which could give you an idea of the setlist.
'fit' has different meanings in different context. In machine learning, fit usually referred to the process of model training. In Python, the fit() function is used to train the model, which includes input data and output data. The parameters of the fit() function include the input and output of the training data, as well as some other parameters such as batch_size and epochs. The fit() function would be based on the given training data, and the parameters of the model would be optimized by iterations so that it could better fit the training data. In data pre-processing, the fit() function was used to obtain the parameters of the training set, such as the mean and the deviation. The transform() function was used to perform operations such as normalisation and normalisation of data. The fit_transform() function was a combination of fit() and transform(). It first fitted the data and then transformed it. In short, fit played an important role in machine learning and data processing.