and when you're working with Python's pandas library, boolean indexing is a powerful tool to accomplish this. Think of boolean indexing as a way to select data from a DataFrame using conditions ...

Use comments in Python to note when you are starting ... We've talked previously about the Boolean data type. The underlying True/False logic lets us test for specific conditions and then specify how ...

Sometimes we need a program to do something based on the results of two conditions. This simple Python (3.x) program prints out a different message depending on the result of two tests.

It operates on the principles of set theory and logic, where documents are represented as sets of terms or words, and queries are expressed as Boolean expressions using logical operators such as AND, ...

As well as checking the condition of the Boolean expression in line 2, this program also checks the condition of the Boolean expression in line 4: Boolean logic does not just work with numbers.

I recently switched to using python 2.5 from 2. ... is still lazy as in existing Boolean expressions, so the order of evaluation jumps around a bit. The condition expression in the middle is ...