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Leopards is a way to query list of dictionaries or objects as if you are filtering in DBMS. You can get dicts/objects that are matched by OR, AND or NOT or all of them. As you can see in the comparison they are much faster than Pandas.
For eq,gt,gte,lt,lte, in, contains, icontains, startswith,istartswith, endswith and iendswith, you can add a n to negate the results. e.g nin which is equivalent to not in
[1] This was loading the whole csv in memory which was for sake of fair comparison. Nevertheless, Leopards can work with DictReader as an iterable which executes in 0.014s, then it handles line by line.
Read more github.com/m...
