semvec/pypi-packages huggingface dataset:
ganymede-logo 1.1.0
Set a Systemathics logo for ganymede
License: MIT
Requires Python: >=3.6
Keywords: Jupyter,JupyterLab

# ganymede-logo

![Github Actions Status](https://github.com/systemathics/ganymede-logo/workflows/Build/badge.svg)

Set a Systemathics logo for ganymede


## Requirements

* JupyterLab >= 3.0

## Install

```bash
pip install ganymede-logo
```

## Contributing

### Development install

Note: You will need NodeJS to build the extension package.

The `jlpm` command is JupyterLab's pinned version of
[yarn](https://yarnpkg.com/) that is installed with JupyterLab. You may use
`yarn` or `npm` in lieu of `jlpm` below.

```bash
# Clone the repo to your local environment
# Change directory to the ganymede-logo directory
# Install package in development mode
pip install -e .
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Rebuild extension Typescript source after making changes
jlpm run build
```

You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.

```bash
# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm run watch
# Run JupyterLab in another terminal
jupyter lab
```

With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).

By default, the `jlpm run build` command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:

```bash
jupyter lab build --minimize=False
```

### Uninstall

```bash
pip uninstall ganymede-logo
jupyter labextension uninstall ganymede-logo
```
redux-py 0.1.12
Redux implementation for Python
License: MIT

# ReduxPY

Implementation of a Redux store with support for adding feature modules, dynamically. The store exposes a reactive API based on [RxPY](https://pypi.org/project/Rx/).

## Documentation

Refer to the [API documentation](https://reduxpy.readthedocs.io/en/latest/)

## Build

[![Build Status](https://travis-ci.org/Carsten-Leue/ReduxPY.svg?branch=master)](https://travis-ci.org/Carsten-Leue/ReduxPY)
adpkdsupporttool 1.0.34
Support tool for evaluating medical images
License: MIT
Requires Python: >=3, <4
Keywords: machine learning pckd adpkd

# PCKD/ADPKD Support Tool
In medical research of PCKD (german ADPKD) it is useful to mark and calculate the area and volume of harmful cells. With ongoing development of sophisticated machine learning algortihms for object detection and instance segmentation this tool makes it easier and faster to evaluate cell images.

# Weights
Pretrained weights can be downloaded [here](https://cloud.hs-augsburg.de/s/J86QaACTNGdo2EJ).

# Installation and usage
``pip install adpkdsupporttool``

``adpkdtool``

# Contact and support
For support contact me directly.

# Acknowledgements
Many thanks to Julia Scholz for her support and for making train images available. The University of Applied Sciences, Augsburg, in particular the Faculty of Computer Science supported this project. Special thanks to Peter Rösch, Emanuel Stölzle, Manuel Leitenmaier, Marina Hartmann, Sebastian Piaskowski and Simon Hellbrück for supporting and developing this project. 

# References
[LabelImg](https://github.com/tzutalin/labelImg)

[Mask RCNN (Matterport) Implementation](https://github.com/matterport/Mask_RCNN)

[U-Net](https://lmb.informatik.uni-freiburg.de/people/ronneber/u-net/)

[Python Implemenation U-Net](https://github.com/zhixuhao/unet)
pod-whois 0.1
Babashka pod query whois info.
License: MIT
Requires Python: >=3.6, <4
Keywords: babashka pod whois

# pod-whois
A [babashka pod](https://github.com/babashka/babashka.pods) for whois query.

Implemented using the Python [python-whois](https://pypi.org/project/python-whois/) and [ipwhois](https://pypi.org/project/ipwhois/) library.

## Status

Experimental.

## Usage

install this package from pip:
```sh
pip install pod-whois
```

Load the pod:

```clojure
(require '[babashka.pods :as pods])
(babashka.pods/load-pod "pod.py-whois")

(pod.py-whois/query "www.bing.com")
(pod.py-whois/query "8.8.8.8")
```

## Build 

require python >= 3.6, install deps

```sh
pip install -r dev-requirements.txt
pip install -r requirements.txt

./reinstall
```

## License

Copyright © 2021 ntestoc3