One of the common tasks in Exploratory data Analysis is asking questions of the data. This is usually made possible by filtering or slicing on columns, aggregation function and so on. Because Pandas is built on numpy , it allows you to carry out vectorized operations which are computationally efficient than using for loops .

#data-science #pandas #data-analysis

Get More Efficient in Your Data analysis with Pandas `query()` and `eval()` Methods
1.05 GEEK