pygbm
This project simulates Brownian motion and geometric Brownian motion (GBM) for stochastic processes. It includes classes for creating and visualizing these simulations.
Project Structure
Dockerfile: Configuration for Docker to set up the project environment.pygbm/: Main package directory containing the source code.docs/: Documentation generated by Sphinx.requirements.txt: Dependencies for the project.
Installation
- Clone the repository:
git clone https://github.com/elizabethsztan/pygbm.git
1 maintainer
Metadata
1 maintainer
Release files for pygbm-liz 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pygbm_liz-0.1.0.tar.gz | 2.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pygbm_liz-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.3 kB
Release files / pygbm_liz-0.1.0.tar.gz
| Download URL | pygbm_liz-0.1.0.tar.gz |
|---|---|
| Size | 2.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
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Release files / pygbm_liz-0.1.0-py3-none-any.whl
| Download URL | pygbm_liz-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|
