Pynamic Gain
Python-based Dynamic Gain inputs for distributed patch clamp setup.
Installation
Easiest way to install is via conda and pip:
conda create -n pydg_analysis python=3.11
conda activate pydg_analysis
pip install pynamicgain
Verify the installation with:
pydg_help
See the documentation for more information.
1 maintainer
Metadata
1 maintainer
Release files for PynamicGain 0.0.9
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| pynamicgain-0.0.9.tar.gz | 29.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| PynamicGain-0.0.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 63.5 kB
Release files / pynamicgain-0.0.9.tar.gz
| Download URL | pynamicgain-0.0.9.tar.gz |
|---|---|
| Size | 29.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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twine/5.1.0 CPython/3.11.9
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Release files / PynamicGain-0.0.9-py3-none-any.whl
| Download URL | PynamicGain-0.0.9-py3-none-any.whl |
|---|---|
| Size | 33.7 kB |
| 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/5.1.0 CPython/3.11.9
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Security for PynamicGain 0.0.9
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None of the files in this release were uploaded with provenance metadata.
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