semvec/pypi-packages huggingface dataset:
ukbaccessrepo 0.370
UKB Access Repo
Requires Python: >=3.6

# UKB_Wrapper_Repo

This library has been designed to provide convenient access to UKB dataset to users of PSC and Openmind7 clusters by leveraging Datalad package. Datalad allows its users to store large datasets in a distributed manner and faciliate easier collaboration. Currently the repo has modules dedicated to three types of data stored within the UKB dataset namely Scalar, Genetic and Bulk data types. The library also serves as a directory for all the unique categories and field ids which are part of UKB dataset. 

Datalad is designed as a tool to version control large datasets in a manner quite similar to Git but limited to either a single network, HPC cluster. This library has been designed to help the end user make use the principles of datalad to access data stored on a different cluster and even with limited knowledge of how datalad works.

Additionally this repository also houses the notebook files related to this project showcasing exploratory data analysis done on multiple categories.The modules are currently designed to give access to the necessary data through the use of maximum of three-four lines of code.

1. Import relevant modules and initilize objects
```
from UKBRepo.UKBRepo import module_scalar_data_handler as scalar_module

scalar_handler_object=scalar_module.scalar_data_handler()
```
2. Pick the main category to which your datatype belongs (T1_Images/Freesurfer/Diet/Smoking)
```
scalar_handler_object.display_all_ukb_categories()
```
3. Fetch relevant field for that Category
```
bulk_handler_object.get_field_ids_for_category(Category_Name)
```
4. Retrive the list of subjects who have those particular field ids
```
bulk_handler_object.get_subject_list_field_ids(Field_Id_List)
```
5. Retrive relevant data for the subjects
```
bulk_handler_object.get_data_bulk(Field_Id,subject_id)
```

After executing the funtion of data retrival,the output user receives depends upon the type of data bieng requested. In case of scalar data the user will recive the actual data in the output whereas in case of bulk data it will be the path where the fetched bulk data files have been stored. 

# Requirements

1. Datalad
2. Git-annex
3. Pandas
4. Numpy

# Refrences

http://handbook.datalad.org/en/latest/
gdpshow 1.0.3
A package for visualizing any countries GDP
Requires Python: >=3.7

# gdpshow

# This module gdpshow created for visualization any countries.

# input:text_file(format: "countryname1","countryname2"...)

# [![Open in Code Ocean](https://codeocean.com/codeocean-assets/badge/open-in-code-ocean.svg)](https://codeocean.com/capsule/4474279/tree/v1)
transgit 1.0.40
Open source tool to export Gitlab repositories to Github.
Requires Python: >=3.5
Keywords: Git,Github,Gitlab

.. image:: https://github.com/pedrohavay/transgit/blob/main/docs/transgit.png?raw=true
  :alt: TransGit Logo

TransGit
========

TransGit is a tool created to facilitate the export of repositories from
a GitLab instance to GitHub.

::

   transgit -u <GITLAB-URL> -t <GITLAB-TOKEN> -gu <GITHUB-USER> -p <GITHUB-PERSONAL-TOKEN>

The tool clones all repositories to your machine and then performs the
export process to GitHub using the REST API.

Features
--------

-  Export GitLab repositories to personal or organization Github

-  Export the repositories of specific groups

-  Archive repositories after export

-  Compatibility with Git filter-repo

-  Allows you to change the information of the commits such as, for
   example, the user name, e-mail and among others.

Install
-------

If you have Pip installed on your system, you can use it to install the
latest TransGit stable version:

::

   $ sudo pip3 install transgit

Only versions >=3.5 are supported.

Disclaimer
----------

This software must not be used on third-party servers without
permission. TransGit was created to ease the process of migrating Git
instances.
coviddollar 0.0.3
A package for comparison dollar exchange rate fluctuations and changes in the number of new covid-19 infections
Requires Python: >=3.7

# coviddollar

A package for comparison dollar exchange rate fluctuations and changes in the number of new covid-19 infections

# Example of use
```
$pip coviddollar
$python coviddollar.py 30
```

usage: coviddollar.py days
days: How many days of data to use