Project description

Pynamic Gain

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

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.

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

This version

0.0.9

Jun 1, 2024

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Uploaded Jun 1, 2024 Source

Uploaded Jun 1, 2024 Python 3

Hashes for pynamicgain-0.0.9.tar.gz
Algorithm	Hash digest
SHA256	`4d2b34e15d370207b0a887ef5bcf03228c9077b580413fb75f2089c758c77600`
MD5	`0cd5ebe92f3eeb9911ba9eb586c6a519`
BLAKE2b-256	`90b3e22a9e620ed743a181928d08cd8dfbaa9f9ea0b387f9dabdeb4b60cc3b0e`

Hashes for PynamicGain-0.0.9-py3-none-any.whl
Algorithm	Hash digest
SHA256	`36387c8a74ef7f253c2afdb6ef7250f32d6ad871552a44579a70ef9d96c8ce8a`
MD5	`fb382bc1a1e0eaa007da03e548eab3e9`
BLAKE2b-256	`0f55fb0411fd9f67ef90c204df053fcfabbbc5d9980fe0e084e7179d3e2e4425`