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CompNeuro

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This Module provides source code for Book Chapters and Notebooks for 4020.

  • Free software: BSD-3 license

Features

  • Utility functions for signal generation, spectral analysis, spike plotting, and other plotting functionalities

  • CPU-based simulation and analysis of dynamical system models

  • Interactive plotting of results using Bokeh.

Installation

To install the lastest version on PyPI, run the following code:

pip install compneuro

This will install all the necessary requirements as specified in the setup.py file. However, you will need to install NodeJS with version greater than 14.0 to make sure that the custom Bokeh 3d plotting capability renders correctly in Jupyter. For installing NodeJS, you should follow instructions on their official website.

For development, see below.

Development

Make sure you install NodeJS first. Afterwards, you can install the package including the requirements by executing:

pip install -e .[dev]

If you want to work on distributing the package, you will need to install a few additional packages, which can be done by running:

pip install -e .[dist]

Before committing, use black to format the python code by running

black compneuro

For each utility function added, make sure you add a test function in the compneuro/tests folder. All tests should be written using pytest.

You can also run all tests by running:

py.test

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.1.0 (2021-06-20)

  • First release on PyPI.

Metadata

Release files for compneuro 0.1.2

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Source distribution for compneuro 0.1.2
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Built distribution (wheel)

Table of built distributions (wheels) for compneuro 0.1.2
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compneuro-0.1.2-py2.py3-none-any.whl Python 3, Python 2 none any Details for compneuro-0.1.2-py2.py3-none-any.whl

Total release size: 77.6 kB

Release files / compneuro-0.1.2.tar.gz

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Release files / compneuro-0.1.2-py2.py3-none-any.whl

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Security for compneuro 0.1.2

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