Python: Fast way to update value in dict based on length of text?

Question

I have the list of sets like so. I basically want to convert this to the dictionary and to address duplicate keys, I want to take a text value which is longer in length: [('hong kong', 'state'), ('hong kong', 'city'), ('hong', 'country'), ('kong', 'city'), ('hong kong', 'country')] I wanted the below-desired result: {'state': 'hong kong', 'city': 'hong kong', 'country': 'hong kong'} I have the function that does this but I am sure that there will be an efficient & pythonic way to do this. So I have tried this: def create_dict(l): d=defaultdict(list) for s in l: key = s[1] val = s[0] if d[key]: if len(val) > len(d[key]): d[key] = val else: d[key] = val return d Select the correct answer from above options

Answer 1

You can have a look at it, here is how you can use the sorted method with custom key: lst = [('hong kong', 'state'), ('hong kong', 'city'), ('hong', 'country'), ('kong', 'city'), ('hong kong', 'country')] def create_dict(l): sorted_lst = sorted(l, key=lambda x: len(x[0])) return {k: v for v, k in sorted_lst} print(create_dict(lst)) Output: {'country': 'hong kong', 'city': 'hong kong', 'state': 'hong kong'} If you are a beginner and want to know more about Python the do check out the python for data science