semvec/pypi-packages huggingface dataset:
FlyBIDS 0.0.2
Quickly collect and inspect BIDS data on Flywheel

# FlyBIDS

Quickly build and inspect Flywheel BIDS data.

# Installation

- Development version:
Clone this repo and install the package with `pip`

```
git clone https://github.com/PennLINC/FlyBIDS.git
cd FlyBIDS
pip install -e .
```

- Stable Releases:

Download from Pip:

```
pip install FlyBIDS
```

# Examples
```python
>>> from FlyBIDS.BIDSLayout import FlyBIDSLayout
>>> fbl = FlyBIDSLayout('gear_testing', subjects=['sub-1832999514', 'sub-2216595430'])
>>> print(fbl)
FlyBIDS Layout: Project 'gear_testing' | Subjects: 2 | Sessions: 3
>>> as_df = fbl.to_df()
>>> print(as_df)
template                                           Filename  \
0          anat_file                 sub-1832999514_ses-PNC1_T1w.nii.gz
1          func_file  sub-1832999514_ses-PNC1_task-rest_acq-singleba...
2          anat_file                 sub-1832999514_ses-PNC2_T1w.nii.gz
3   acquisition_file          sub-1832999514_ses-PNC2_task-idemo.nii.gz
:       :       :       :       :         :         :           :
12         NaN   False  5ebee86c4425360a219e6670   NaN  NaN  NaN  2216595430
13        bold   False  5ebee86e4425360a219e6672  rest       NaN  2216595430
14         NaN   False  5ebee8714425360a219e6673   NaN  NaN  NaN  2216595430
15   phasediff   False  5ebee87244253609f99e681a   NaN  NaN       2216595430
>>> fbl.get_files(RepetitionTime=3)
['sub-1832999514_ses-PNC1_task-rest_acq-singleband_bold.nii.gz',
 'sub-1832999514_ses-PNC2_task-idemo.nii.gz',
 'sub-1832999514_ses-PNC2_task-rest_acq-singleband_bold.nii.gz',
 'sub-1832999514_ses-PNC2_task-frac2back.nii.gz',
 'sub-2216595430_ses-PNC1_task-frac2back_run-02.nii.gz',
 'sub-2216595430_ses-PNC1_task-frac2back_run-01.nii.gz',
 'sub-2216595430_ses-PNC1_task-rest_acq-singleband_bold.nii.gz',
 'sub-2216595430_ses-PNC1_task-idemo.nii.gz']

>>> fbl.get_metadata('EchoTime', filename='sub-1832999514_ses-PNC1_task-rest_acq-singleband_bold.nii.gz')
{'EchoTime': [0.032, 0.00351, 0.00269, 0.00527, 0.00667]}
```
SQLServerToPandasDataFrame-germanandresjejencortes 0.0.2
Query Data from a Private DataBase and save it in a Pandas DataFrame
Requires Python: >=3.6

# MicrosoftSQLServerToPandasDataFrame

## Description

This package query data from any SQL Server Database and parse it into a Pandas Dataframe
it can be useful for pipelines process and speed up your development process.

## Usage

```
from SQLServerToPandasDataFrame import createConnection, runQuery

Base_Query = "select * from [DataBase].dbo.Table"

server = "HOST_DIRECTION"
user = "USER_NAME"
password = "PASSWORD"

conn = createConnection("MyDataBase", server, user, password)
print(runQuery(query1, conn))
```

## Settings

This package performs by default all the connections to a SQL Server using ``ODBC Driver 17 for SQL Server`` driver. if you wanna use a different driver, please replace add the driver parameter in create Connection method.

```
conn = createConnection("MyDataBase", server, user, password, driver = "DRIVER OF YOUR PREFERENCE")
```


```
conn = createConnection("MyDataBase", server, user, password, driver = "ODBC Driver 17 for SQL Server")
```

We use ``Pyodbc `` as ODBC access library, for more driver options please ckeck the documentation [PyODBC Documentation](https://github.com/mkleehammer/pyodbc).

## Collaborators

- GermÃ¡n AndrÃ©s JejÃ©n CortÃ©s [@andres_jejen on twitter](https://twitter.com/andres_jejen)
ThaiAddressParser 1.0.0
Thailand Address Parser

# ThaiAddressParser  
![](https://img.shields.io/badge/language-python3-green.svg) ![](https://img.shields.io/badge/author-Shuai_Li-black.svg) ![](https://img.shields.io/badge/building-pass-yellow.svg) ![](https://img.shields.io/badge/license-MIT-pink.svg)      
`ThaiAddressParser` is a fast and unlimited python library which can deliver the structured Thailand address from the original free Thai sentence with translations.   
Meanwhile, it can extract the province, district, sub district from the original address sentence.
It is compatible with Python 3.  
This unique algorithm is developed by [the author](https://github.com/HandsomeBrotherShuaiLi)
## Feature  
* Fast (1.5 ms per sentence) 
* Stable (no external APIs)
* Easy to use and understand
* Robust
* Thread-safe
* Thai-En address Translation 
## Installation
For python3:
```angular2
pip3 install ThaiAddressParser
```
For python2:
```angular2
pip install ThaiAddressParser
```
## Usage
```angular2
>>> import ThaiAddressParser
>>> address = '7503 ถ.ราชญาวิริกษา ต.ม.ก่องคร อ.เมืองสมุทรสงคราม 10 จ.สมุทรสงคราม'
>>> ThaiAddressParser.parse(address)
{'original_address': '7503 ถ.ราชญาวิริกษา ต.ม.ก่องคร อ.เมืองสมุทรสงคราม 10 จ.สมุทรสงคราม', 'parsed_address': '7503 ถ.ราชญาวิริกษา ต.แม่กลอง อ.อุ้มผาง จ.ตาก', 'province': {'thai': 'ตาก', 'en': 'Tak'}, 'district': {'thai': 'อุ้มผาง', 'en': 'Umphang'}, 'sub_district': {'thai': 'แม่กลอง', 'en': 'Mae Klong'}, 'remaining_address': '7503 ถ.ราชญาวิริกษา'}
```

## License
```angular2
MIT License

Copyright (c) 2020 Shuai Li

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
```
twitchercli-n00bady 0.1.0
A simple cli tool to keep track of your twitch.tv streamers
Requires Python: >=3.6

# Description
This is a simple and crappy python program that checks your followed channels in twitch.tv  and shows you which ones are live.
Then you can select one of them and it will use streamlink to play it.
It needs some more work... :)

# Installation
pip install twitchercli-n00bady

# Requirements
* python 3.6 (Probably works on lower ones but I haven't test it.)
* See requirements.txt for python modules
* streamlink (You probably need to add you twitch OAuth token in it's config.)

# Usage
Just type `twitchercli` in your terminal and when asked choose the number of the stream you want to watch or ctrl+c to
exit.

# Additional Notes
You **need** to add a clientID **and** a oauth token for `twitchercli` to function!  
If there is a problem running it make sure you have the dependancies installed and check the config file for mistakes.
You can create a new example config file by deleting the twitchercli folder in `~/.config/`, do not forget to add a
clientID and your twitch OAuth token.
repomirror 1.0.4
Clone/mirror multiple Linux distro/BSD flavor/etc. repositories to a local server
Requires Python: >=3.7

This project will let you mirror a Linux distribution's repository/repositories (or BSD, etc.).


Features:

* Logging
* RSync or FTP supported (RSync mirrors require rsync to be installed and in the $PATH environment variable) (HTTP/HTTPS cannot and will not be supported as there's no real way to do it reliably and efficiently.)
* Locking - prevent a specific distribution from syncing if it is currently being synced but allow other distributions to sync
* Customizable rsync arguments
* Changing of directory/file ownership per-distribution
* Mount-checking per-distribution - a distribution will be skipped if its designated mountpoint is not mounted
* Synchronization checks - timestamp files can be read and written and are used to determine if a sync should take place or not
** TODO: customizable "staleness" of repos (e.g. sync if timestamp X is older than timestamp Y on server)


Configuration/Deployment:

See example.config.xml for details on a configuration file, as it's extensively commented and won't be covered in this README.

You can also run reposync -h (or reposync --help) to see all supported options.

You may take special interest in repomirror/utils/find_fastest_upstream/ scripts as they're pre-written to find the fastest (in theory) upstream you can use. Currently only Arch Linux and CentOS have scripts written, but I'll gladly try to add other distros if you open a feature request (see below). You can run -h/--help to see the supported options (there aren't many).


Bugs/Feature Requests:

Please use my tracker at https://bugs.square-r00t.net/index.php?project=14 or, if you prefer to not create an account, simply email me at bts(at)square-r00t[dot]net.


Sources:

This project can be found at/cloned from:

* https://git.square-r00t.net/RepoMirror
* git://git.square-r00t.net/repomirror.git

And has a mirrored repository on GitHub (Issues/Wiki/etc. disabled) at:

* https://github.com/johnnybubonic/repomirror

It can also be found on PyPi at:

* https://pypi.org/project/repomirror/
muptick 0.2.3
Command line tool to interface with the Meta1 network
Keywords: meta1,library,api,rpc,cli

# Uptick

Swiss army knife for interacting with the Meta1 blockchain.

![](https://img.shields.io/pypi/v/uptick.svg?style=for-the-badge)
![](https://img.shields.io/github/release/meta1/uptick.svg?style=for-the-badge)
![](https://img.shields.io/github/downloads/meta1/uptick/total.svg?style=for-the-badge)
![](https://img.shields.io/pypi/pyversions/uptick.svg?style=for-the-badge)
![](https://img.shields.io/pypi/l/uptick.svg?style=for-the-badge)
![](https://cla-assistant.io/readme/badge/meta1/uptick)

**Stable**

[![docs master](https://readthedocs.org/projects/uptick/badge/?version=latest)](http://uptick.readthedocs.io/en/latest/)
[![Travis master](https://travis-ci.org/meta1/uptick.png?branch=master)](https://travis-ci.org/meta1/uptick)
[![codecov](https://codecov.io/gh/meta1/uptick/branch/master/graph/badge.svg)](https://codecov.io/gh/meta1/uptick)


**Develop**

[![docs develop](https://readthedocs.org/projects/uptick/badge/?version=develop)](http://uptick.readthedocs.io/en/develop/)
[![Travis develop](https://travis-ci.org/meta1/uptick.png?branch=develop)](https://travis-ci.org/meta1/uptick)
[![codecov develop](https://codecov.io/gh/meta1/uptick/branch/develop/graph/badge.svg)](https://codecov.io/gh/meta1/uptick)

## Documentation

The full-length documentation can be found on [http://uptick.rocks](http://uptick.rocks).

## Installation

```
sudo apt install python3-pip
sudo pip3 install uptick
```

## Contributing

uptick welcomes contributions from anyone and everyone. Please
see our [guidelines for contributing](CONTRIBUTING.md) and the [code of
conduct](CODE_OF_CONDUCT.md).

### Discussion and Developers

Discussions around development and use of this library can be found in a
[dedicated Telegram Channel](https://t.me/pymeta1)

### License

A copy of the license is available in the repository's
[LICENSE](LICENSE.txt) file.