SciPy is a scientific computing library built on top of NumPy, offering additional functions for optimization, statistics, and signal processing. Like NumPy, SciPy is open-source and freely available. It was developed by Travis Olliphant, the creator of NumPy.
While SciPy uses NumPy as its foundation, it provides optimized and additional functions that are commonly used in NumPy and data science, making it more efficient for specific tasks.
SciPy is primarily written in Python, with some components implemented in C for enhanced performance.
The source code for SciPy can be found in its GitHub repository at https://github.com/scipy/scipy.
| GitHub allows multiple people to collaborate on the same codebase. |
