semvec/pypi-packages huggingface dataset:
unisc 0.1
Unicode Script property
License: MIT
Requires Python: >=3.5
Keywords: property script script_extensions text unicode

=====
unisc
=====

The unisc package is a Unicode Script property library for Python.


Features
--------

The library provides:

- Functions to get the Script / Script_Extensions property values of each
  Unicode character.


References
----------

- `UAX #24: Unicode Script Property <https://www.unicode.org/reports/tr24/>`_


Related Projects
----------------

- The `uniscripts <https://github.com/leoboiko/uniscripts>`_ library is designed
  for the same purpose of this library, which is maintained by Leonardo Boiko.
- `PyICU <https://github.com/ovalhub/pyicu>`_ by Andi Vajda is the Python
  library that wraps the International Components for Unicode library (ICU).
spykes 0.3.dev0
Basic tools for neural data analysis and visualization.
License: MIT

# spykes

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![Spykes!](images/spykes-logo.png)

Almost any electrophysiology study of neural spiking data relies on a battery of standard analyses. Raster plots and peri-stimulus time histograms aligned to stimuli and behavior provide a snapshot visual description of neural activity. Similarly, tuning curves are the most standard way to characterize how neurons encode stimuli or behavioral preferences. With increasing popularity of population recordings, maximum-likelihood decoders based on tuning models are becoming part of this standard.

Yet, virtually every lab relies on a set of in-house analysis scripts to go from raw data to summaries. We want to improve this status quo in order to enable easier sharing, better reproducibility and fewer bugs.

Spykes is a collection of Python tools to make the visualization and analysis of neural data easy and reproducible.

For more, see the [documentation](http://kordinglab.com/spykes/getting-started.html).

### Installation

Spykes can be installed using

```
pip install spykes
```

For more detailed installation options, see the [documentation](http://kordinglab.com/spykes/getting-started.html#installing).

### Authors

- [Pavan Ramkumar](http:/github.com/pavanramkumar)
- [Hugo Fernandes](http:/github.com/hugoguh)

### Acknowledgments

* [Konrad Kording](http://kordinglab.com) for funding and support