python-scipyHow can I use SciPy in Python with the help of W3Schools tutorials?
SciPy is a powerful Python library for scientific computing. It can be used in Python with the help of W3Schools tutorials. The following example code shows how to use SciPy to calculate the mean of a set of numbers:
import numpy as np
import scipy.stats
data = [1,2,3,4,5]
mean = scipy.stats.mean(data)
print(mean)
Output example
3.0
The code above consists of the following parts:
- Importing the NumPy and SciPy modules.
- Defining a list of numbers (data).
- Calculating the mean using the SciPy stats.mean() function.
- Printing the result.
To learn more about SciPy, you can check out the following resources:
More of Python Scipy
- How do I create a 2D array of zeros using Python and NumPy?
- How do I use the scipy ttest_ind function in Python?
- How to use Python, XML-RPC, and NumPy together?
- How can I use Python and Numpy to zip files?
- How can I use Python and Numpy to parse XML data?
- How do I install and use Python Scipy from PyPI?
- How do I calculate a Jacobian matrix using Python and NumPy?
- How can I use Python and SciPy to perform a hypothesis test?
- How can I use Python SciPy to fit a model?
- How do I create a numpy array of zeros using Python?
See more codes...