str_list = filter(None, str_list) #Fast
str_list = filter(bowl, str_list) # Fast
str_list = filter(len, str_list) #Slightly slow
str_list = filter(lambda item: item, str_list) # list slower than compression
If you compare the speeds of the four methods, you will see the following:
>>> timeit('filter(None, str_list)', 'str_list=["a"]*1000', number=100000)
2.4797441959381104
>>> timeit('filter(bool, str_list)', 'str_list=["a"]*1000', number=100000)
2.4788150787353516
>>> timeit('filter(len, str_list)', 'str_list=["a"]*1000', number=100000)
5.2126238346099854
>>> timeit('[x for x in str_list if x]', 'str_list=["a"]*1000', number=100000)
13.354584932327271
>>> timeit('filter(lambda item: item, str_list)', 'str_list=["a"]*1000', number=100000)
17.427681922912598
strings = ["first", "", "second"]
[x for x in strings if x]
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