The main reason to use Python is that you get a lot more options than what's included in most spreadsheets. Spreadsheets are ...

For example, NumPy works by wrapping high-speed C libraries in a Python interface, and Cython compiles Python to C with optional typing for accelerated performance.

“Analytics libraries such as NumPy, Pandas, SciPy, and several others have created an efficient way to build and test data models for use in analytics,” said Matt Ratliff, who is a Senior Data ...

Similarly, the Scikit-Learn and TensorFlow libraries are employed for machine learning jobs, and Django is a well-liked Python web development framework. 5 Python libraries that help interpret ...

Python packages like NumPy wrap C libraries in Python interfaces to make them easy to work with. However, going back and forth between Python and C through those wrappers can slow things down.

Python libraries like Pandas, NumPy, SciPy, and Matplotlib streamline data cleaning, statistical analysis, and visualization directly within Excel.