I want to filter through a date array the fastest possible? Should I use pandas or numpy? If I use numpy what data type should I use?

I want to filter through a date array the fastest possible? Should I use pandas or numpy? If I use numpy what data type should I use?

I have a large dataframe where I need to loop through a range and pull the data from a date range. It's taking longer than I need since I'm also testing the data and re-running it is getting quite tedious.

***NOTE:** After looking for questions that answer this, I wasn't able to find a suitable answer so I posted this in case anyone else is in a similar situation. The answer is below.

Learn about NumPy Array, NumPy Array creation, various array functions, array indexing & Slicing, array operations, methods and dimensions,It also includes array splitting, reshaping, and joining of arrays. Even the other external libraries in Python relate to NumPy arrays.

In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.

Learn the uses of numpy - Alternate for lists in python, multi dimensional array, mathematical operations. See numpy applications with python libraries.

Python is an open-source object-oriented language. It has many features of which one is the wide range of external packages. There are a lot of packages for installation and use for expanding functionalities. These packages are a repository of functions in python script. NumPy is one such package to ease array computations.

Learn numpy features to see why you should use numpy - high performance, multidimensional container, broadcasting functions, working with varied databases