Toolbox for Maths,Signal,Image Teaching @ CPE
Project description
A toolbox used for practical sessions at CPE Lyon. Developped and maintained for teaching usage only!
Installation
In a Jupyter Notebook
!pip install -U msicpe
In a local environment
pip install -U msicpe
Usage example
The example below uses the kurtosis method available in the tsa subpackage of msicpe.
It requires numpy.randn to generate a gaussian distribution of N points.
import numpy as np
from msicpe.tsa import kurtosis
N=10000
x=np.randn(1,N)
kurt=kurtosis(x)
print(kurt)
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file msicpe-1.0.22.tar.gz.
File metadata
- Download URL: msicpe-1.0.22.tar.gz
- Upload date:
- Size: 1.4 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ac46df1415389b5deeb8ca1430395d460c69b72d8b2060668c58c89ea3a5b54b
|
|
| MD5 |
52eb67d9f56edcb257a08d21e013d968
|
|
| BLAKE2b-256 |
f7d86f186f62ffa0f00a552c42be6968415fe5fdc0950925700d0c26492c0984
|
File details
Details for the file msicpe-1.0.22-py3-none-any.whl.
File metadata
- Download URL: msicpe-1.0.22-py3-none-any.whl
- Upload date:
- Size: 1.5 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b39c3fb313ccaf3232e48de1c190fab58e119ca5ff5bae5dffe1f30ea6bd3268
|
|
| MD5 |
0fba5145d6ae3ad9b1669efe0a1e3a98
|
|
| BLAKE2b-256 |
860d07ab7b116136cba72b86ec62c7969d3d83475de289485bd6ade21d709023
|
