semvec/pypi-packages huggingface dataset:
diff-predictor 1.0.2.dev0
diff_predictor: a prediciton package for multiple particle tracking data
License: MIT
Requires Python: >= 3.7.6


diff_predictor
========
Diff_predictor is a prediction package for multiple particle tracking data and
is intended for use alongside diff_classifier (https://github.com/Nance-Lab/diff_classifier).
It contains methods intended to transform and predict on MPT data, as well as methods for
analyzing prediction results including feature importance.
To get started using these components in your own software, please go to the
repository README_.
.. _README: https://github.com/Nance-Lab/diff_predictor/blob/main/README.md
=======
``diff_predictor`` is licensed under the terms of the MIT license. See the file
"LICENSE" for information on the history of this software, terms & conditions
for usage, and a DISCLAIMER OF ALL WARRANTIES.
All trademarks referenced herein are property of their respective holders.
A-FMM 0.1.2
Python implementation of the Aperiodic-Fourier Modal Method for electromagnetic simulation
License: MIT
Requires Python: >=3.10
Keywords: fourier modal methods,photonics,scattering matrix,simulation

[![Documentation Status](https://readthedocs.org/projects/a-fmm/badge/?version=latest)](https://a-fmm.readthedocs.io/en/latest/?badge=latest)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![MIT](https://img.shields.io/github/license/gdsfactory/gdsfactory)](https://choosealicense.com/licenses/mit/)

# A-FMM

This is a Python implementation the Aperiodic-Fourier Modal Method, a fully vectorial method for solving Maxwell equations that combines a Fourier-based mode solver and a scattering matrix recursion algorithm to model full 3D structures. This approach is well suited to calculate modes, transmission, reflection, scattering and absorption of multi-layered structures. Moreover, support for Bloch modes of periodic structures allows for the simulation of photonic crystals or waveguide Bragg gratings.

## Installation
You can install A_FMM directly from pypi by running:

    pip install A_FMM


## Documentation
Full documentation is available on [Read the Docs](https://a-fmm.readthedocs.io)
pyvm-cli 0.2.0
dead-simple python version manager powered by python-build-standalone
License: MIT
Requires Python: >=3.6

![PyVM Logo](logo.png)

# PyVM
dead-simple python version manager powered by [python-build-standalone](https://github.com/indygreg/python-build-standalone)

# Installation

## If you already have python3

```console
python3 -m pip install pyvm-cli

pyvm install 3.12 # for example
```



```console
mkdir -p ~/.local/bin
wget -o ~/.local/bin/pyvm https://raw.githubusercontent.com/alextremblay/pyvm/main/pyvm

echo 'export PATH="$PATH:~/.local/bin"' >> ~/.bashrc
```

# early days
This project is still in its infancy, but its goals are thus:

provide a single-file executable `pyvm` that can be installed into a user's PATH

make it so that `pyvm install 3.8` will download cpython 3.8.x from https://github.com/indygreg/python-build-standalone/releases/latest
into `${PYVM_HOME:-$HOME/.pyvm}/3.8` and symlink `${PYVM_HOME:-$HOME/.pyvm}/3.8/bin/python3.8` into `${PYVM_BIN:-$HOME/.local/bin}/3.8`
and `pyvm install all` will do the same for all available versions of python

## stretch goals
- ability to upgrade python installations when new releases of https://github.com/indygreg/python-build-standalone come out
- a `--global` flag which will set `$PYVM_HOME` default value to `/opt/pyvm` and `$PYVM_BIN` to `/usr/local/bin`
- windows support
- MacOS / homebrew support
- musl support

# contributing
Contributions are more than welcome! The design of pyvm is deliberately simple. Feel free to fork it, vendor it, modify it as you please
If you make an improvement that you think others might like, please feel free to submit a PR, I'd be more than happy to work with you on it :)