A Monte-Carlo toolkit for educational purposes
Project description
mc-tk
A Monte-Carlo toolkit for educational purposes.
pip install mc-tk
package architecture
experiments
- classical / typical experiments in probability
distributions
- inclulde MC experiments that produce common distributions
samplings
- sampling distributions of statistic used in hypothesis tests
future plan
gui.py - add a Flask or tk-inter (ttkbootstrap) GUI
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
mc-tk-0.0.3.tar.gz
(802.4 kB
view details)
Built Distribution
mc_tk-0.0.3-py3-none-any.whl
(811.8 kB
view details)
File details
Details for the file mc-tk-0.0.3.tar.gz.
File metadata
- Download URL: mc-tk-0.0.3.tar.gz
- Upload date:
- Size: 802.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | e0f81be3bb0a0b0fdc54f49bc7d1a41a0ad69ea93eede24cf6e970177801b795 |
|
| MD5 | ed8e557207de8d47753ba7612ef88d6b |
|
| BLAKE2b-256 | ce464e54ed43a0b7220f075331617e5024143f22859eb6e38947a8a65b994fdc |
File details
Details for the file mc_tk-0.0.3-py3-none-any.whl.
File metadata
- Download URL: mc_tk-0.0.3-py3-none-any.whl
- Upload date:
- Size: 811.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1baad59a3e2b3a226a3c4a88ef36a19cc4d6a1f14da5cd5bb1e74c4602e0f6f0 |
|
| MD5 | 75407b76a189e062484683260cd72676 |
|
| BLAKE2b-256 | 8fa2a0a1644a3faada81895191b4913e8cc38011c1a1d2d2bc908571c4cc26cb |
