SciPy is a scientific computation library that uses NumPy underneath.
SciPy stands for Scientific Python.
We have created 10 tutorial pages for you to learn the fundamentals of SciPy:
In our "Try it Yourself" editor, you can use the SciPy module, and modify the code to see the result.
How many cubic meters are in one liter:
from scipy import constants print(constants.liter)
SciPy is a scientific computation library that uses NumPy underneath.
SciPy stands for Scientific Python.
It provides more utility functions for optimization, stats and signal processing.
Like NumPy, SciPy is open source so we can use it freely.
SciPy was created by NumPy's creator Travis Oliphant.
If SciPy uses NumPy underneath, why can we not just use NumPy?
SciPy has optimized and added functions that are frequently used in NumPy and Data Science.
SciPy is predominantly written in Python, but a few segments are written in C.
The source code for SciPy is located at this github repository https://github.com/scipy/scipy