PynamicGain

Name	PynamicGain JSON
Version	0.0.9 JSON
	download
home_page	None
Summary	Dynamic Gain input generation for distributed PClamp setups.
upload_time	2024-06-01 00:29:45
maintainer	None
docs_url	None
author	Andreas Neef, Stefan Pommer
requires_python	>=3.11
license	None
keywords	neuroscience electrophysiology patch clamp scientific software data analysis dynamic gain
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # Pynamic Gain

Python-based Dynamic Gain inputs for distributed patch clamp setup.


## Installation

Easiest way to install is via conda and pip:

```bash
conda create -n pydg_analysis python=3.11
conda activate pydg_analysis
pip install pynamicgain
```

Verify the installation with:

```bash
pydg_help
```

See the [documentation](https://fschwar4.github.io/pynamicgain/) for more information.


            

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