semvec/pypi-packages huggingface dataset:
mrbias 1.0.1
Magnetic Resonance BIomarker Assessment Software (MR-BIAS) is an automated tool for extracting quantitative MR parameters from NIST/ISMRM system phantom images

# MR-BIAS
Magnetic Resonance BIomarker Accreditation Software (MR-BIAS) is an automated tool for extracting quantitative MR parameters from NIST/ISMRM system phantom images. The software has been tested on images from a 3T Siemens Skyra, we would like to add support for images from other scanners, for enquiries please contact us (james.korte@petermac.org). 
### Citation
A technical note describing the software is under review, a relevant citation will be added here upon publication.
### Minimum Requirements
We have tested the software with Python v3.7 and recommend installing into a virtual environment.

## Installation
The software can be downloaded from github with the following command
```
git clone https://github.com/JamesCKorte/mrbias.git
```
after downloading, change directory into the downloaded folder
```
cd mrbias
```
The software makes use of existing python packages which can be installed with the following command. This may take some time depending on which packages you already have installed in your python environment.
```
python -m pip install -r requirements.txt
```

## Usage
A basic example and test data are included, to verify MR-BIAS is running on your system, please run the example script with
```
python mr_bias_example_1.py
```
The example program analyses two ISMRM/NIST system phantom image datasets and will generate two reports which can be found in the "mrbias\output" folder.
conan2 0.0.4
A package for visualizing international tourism of up to 4 countries
Requires Python: >=3.7

# conan2

This was created in an assignment.

The goal of this project is to visualize international tourism expenses of countries.

Using a dataset, conan2 can visualize international tourism of up to four countries.

The dataset is downloadable from:

https://api.worldbank.org/v2/en/indicator/ST.INT.RCPT.CD?downloadformat=excel

The number of the vertical axis indicates the US dollars in millions.

![Figure_1conan_Japan](https://user-images.githubusercontent.com/103731249/171558533-ea57dbcf-de1b-4ce0-bdcc-fb7d27504834.png)

# How to install conan2 on Linux, MacOS, or WSL on Windows

You may need matplotlib library.

$ pip install matplotlib

$ pip install conan2

# ow to install conan2 if you have a trouble

$ pip install conan2 --force-reinstall --no-cache-dir --no-binary :all:

# How to run conan2

The following command can display international tourism of Canada.

$ conan2 Canada

![Figure_1conan_Canada](https://user-images.githubusercontent.com/103731249/171560020-d6fe68ee-4c42-40f6-a465-31b32ea1f23f.png)

The following command can display conan spending of Japan and Canada.

$ conan2 Japan Canada

![Figure_1conan_JananCanada](https://user-images.githubusercontent.com/103731249/171561550-3fabf65b-1622-4fad-aa50-550a2b3d4488.png)
PyEasiest 0.0.1
Making your python experience better =D
Requires Python: >=3.7
Keywords: python,PyEasiest,quick code,fast development,easy to use,build

# PyEasier

This python package is made with the soul content of
making python have less boilerplate code. So if you 
find a put it into the [bug report](https://github.com/YellowBoyYams/PyEasier/issues), and I will work
on it as fast as possible.

Cheers, YellowYams(Author)
wea-clt 0.0.9
A command-line tool to check the weather.

wea is an ASCII decorated command-line program to get a weather report in your terminal, for any location and in multiple languages.

![](https://github.com/f7olivera/wea/blob/dc89a02c970af8fb3477709f068d271d19742dad/example.gif)

## Features
- Current weather report.
- Forecast for the next 5 days.
- Several weather conditions:
    -  Temperature and apparent temperature.
    -  Wind direction and speed.
    -  Atmospheric pressure.
    -  Rainfall rate and probability of precipitation.
    -  Visibility distance.
- Metric and imperial unit system.
- Multilingual support.

## Setup
You will need
- [Python >= 3.6](https://www.python.org/)
- [pip](https://pypi.org)
- a free API key for OpenWeather. You can find yours [here](https://home.openweathermap.org/api_keys), after signing in.

## Instalation
Now you can install wea using [pip](https://pypi.org):

    pip install wea-clt

## Usage
You can see all available commands typing
    
    wea -h

which displays the following help message:
```
usage: wea.exe [-h] [-c | -f | -l  [...] | -u [default | metric | imperial] | --lang  | -k  | --config]

options:
  -h, --help            show this help message and exit
  -c, --current         Shows current weather for the set location.
  -f, --forecast        Shows weather forecast for the set location.
  -l  [ ...], --location  [ ...]
                        Sets a location.
  -u [default | metric | imperial], --units [default | metric | imperial]
                        Changes unit system
  --lang                Sets new language.
  -k , --key            Sets the OpenWeather API key.
  --config              Shows current user configuration path and content.
```

If no arguments were provided, wea shows current and weather forecast for the location set in the user's configuration file.

You can also see a weather report for a location without changing the configuration file. Try:

	wea London -c

## License
wea is released under the [MIT License](https://github.com/f7olivera/wea/blob/master/LICENSE).

This project uses source code from the files
- `translations.py` from https://github.com/chubin/wttr.in, licensed under the [Apache License 2.0](https://github.com/chubin/wttr.in/blob/master/LICENSE).
- `ascii-art-table.go` from https://github.com/schachmat/wego, Copyright (c) 2014-2017,  <teichm@in.tum.de>, licensed under the [ISC License](https://github.com/schachmat/wego/blob/master/LICENSE).