scopyon
🔬 Monte Carlo simulation toolkit for bioimaging systems
Requirements
For scopyon, Python 3 and its libraries, numpy, scipy and matplotlib, are required. scikit-image is also needed by scopyon.spot_detection.
Installation
$ pip install scopyon
or
$ python setup.py test install
Quick start
$ python examples/twocolor_script.py
License
scopyon is licensed under the terms of BSD-3-Clause (see LICENSE).
Citation
If this package contributes to your work, please cite the followings.
1 maintainer
Metadata
1 maintainer
Release files for scopyon 0.1.11
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| scopyon-0.1.11.tar.gz | 11.0 MB | Without provenance | Details for scopyon-0.1.11.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| scopyon-0.1.11-py3-none-any.whl | Python 3 | none | any | Details for scopyon-0.1.11-py3-none-any.whl |
Total release size: 22.3 MB
Release files / scopyon-0.1.11.tar.gz
| Download URL | scopyon-0.1.11.tar.gz |
|---|---|
| Size | 11.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8
|
Release files / scopyon-0.1.11-py3-none-any.whl
| Download URL | scopyon-0.1.11-py3-none-any.whl |
|---|---|
| Size | 11.3 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.8
|
Security for scopyon 0.1.11
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