In this video, we will be looking at 10 Python functions that will simplify your life. These can save you a ton of time and a ...

For work bound by Python’s native object types, the speedups won’t be large. But for numerical operations, or any operations not involving Python’s own internals, the gains can be massive.

Python has earned a reputation for being powerful, flexible, and easy to work with. These virtues have led to its use in a huge and growing variety of applications, workflows, and fields.

Python isn’t too dissimilar, as we can rely on the inbuilt len function, which can be combined with Pandas’ loc [] to access a specific row of data within a column: len(df['Title'].loc[0]) In ...