python-scipyHow can I use Python and SciPy to complete exercises?
Python and SciPy can be used to complete exercises in a variety of ways.
For example, one can use SciPy's numerical integration functions to solve integral exercises. The following code block uses SciPy's quad
function to compute the integral of a simple function from 0 to 1:
from scipy.integrate import quad
def f(x):
return x**2
result, error = quad(f, 0, 1)
print(result)
Output example
0.33333333333333337
The code block consists of the following parts:
from scipy.integrate import quad
imports thequad
function from SciPy'sintegrate
module.def f(x):
defines a simple functionf(x)
which returnsx**2
.result, error = quad(f, 0, 1)
calls thequad
function with the previously definedf
function and the integration limits 0 and 1.print(result)
prints the result of the integral to the console.
For more information on SciPy's numerical integration functions, see the documentation.
More of Python Scipy
- How do I use Python XlsxWriter to write a NumPy array to an Excel file?
- How can I check if a certain version of Python is compatible with SciPy?
- How do I create a 2D array of zeros using Python and NumPy?
- How can I use Python and SciPy to find the zeros of a function?
- How can I use the x.shape function in Python Numpy?
- How do I calculate the cross-correlation of two arrays using Python and NumPy?
- How do I use Python and SciPy to perform linear regression?
- How do I use Python Numpy to read and write Excel (.xlsx) files?
- How do I use the scipy ttest_ind function in Python?
- How can I use Python and SciPy to implement an ARIMA model?
See more codes...