semvec/pypi-packages huggingface dataset:
kavyanarthaki 0.4.5
Here we provide codes that aid study in analysing malayalam meters.
License: MIT
Requires Python: >=3.1
Keywords: kavyanarthaki malayalam meter analysis

                        KAVYANARTHAKI
// -------------------------------------------------------- //

The unique rhythmic structure of verse/poems in Malayalam are referred to as Malayalam meter or Vrutham. It is also referred to as Bhasha Vruthams, Maathra Vruthams, and Dravida Vrithams (the last two are  only approximate references).  Sanskrit meters have also been used in Malayalam language, but of late, they have not been very popular (When Sanskrit meters are used in Malayalam, they undergo a change, succumbing to the flexibility of Malayalam tradition). Also, meter-free poems (Muktha-Chandass) have gained an upperhand in current times.  A padyam(verse) or kavitha(poem) can be ‘read’, ‘recited’ or ‘sung’. In each of these performances, a poem may exhibit specific rhythmic patterns. Poetic meter is intimately related to such rhythmic patterns.  In Malayalam, the rhythmic pattern that manifests in the ‘recital’ or ‘singing’ of the poem, is reckoned as its meter (“Vritham”). Maveli, Tharangini, Nathonnatha, Annanada, Kakali, Keka, Omanakuttan etc are some of the famous Malayalam meters. To analyse meters of Malayalam poems, we need some basic computational analysis of verses. Kavyanarthaki package caters to some of such requirements and is an ongoing project at the University of Kerala India.
giant-people 0.5.0
A small reusable package that adds a People app to a project
License: MIT
Requires Python: >=3.6,<4.0
Keywords: people,app

# Giant People

A re-usable package which can be used in any project that requires a generic `People` app. 

This will include the basic formatting and functionality such as model creation via the admin. The package also includes a cms plugin which allows a client to add a select number of people to a page and order them via a "drag and drop", provided by `django-admin-sortable2`. 

## Installation

To install with the package manager, run:

    $ poetry add giant-people

You should then add `"people", "easy_thumbnails" and "filer"` to the `INSTALLED_APPS` in your settings file. 
The detail pages in this app use plugins which are not contained within this app. It is recommended that you include a set of plugins in your project, or use the `giant-plugins` app.

In order to run `django-admin` commands you will need to set the `DJANGO_SETTINGS_MODULE` by running

    $ export DJANGO_SETTINGS_MODULE=settings

## Configuration

This application exposes the following settings:


- `PEOPLE_ADMIN_LIST_DISPLAY` is the field list for the admin index. This must be a list.
- `PEOPLE_ADMIN_SEARCH_FIELDS` is the fields that can be searched against in the admin. This must be a list.
- `PEOPLE_ADMIN_FIELDSETS` allows the user to define the admin fieldset. This must be a list of two-tuples.
- `PEOPLE_ADMIN_READONLY_FIELDS` allows the user to configure readonly fields in the admin. This must be a list.

## Preparing for release
 
In order to prep the package for a new release on TestPyPi and PyPi there is one key thing that you need to do. You need to update the version number in the `pyproject.toml`.
This is so that the package can be published without running into version number conflicts. The version numbering must also follow the Semantic Version rules which can be found here https://semver.org/.

## Publishing

Publishing a package with poetry is incredibly easy. Once you have checked that the version number has been updated (not the same as a previous version) then you only need to run two commands.

  $ `poetry build` 

will package the project up for you into a way that can be published.

  $ `poetry publish`

will publish the package to PyPi. You will need to enter the username and password for the account which can be found in the company password manager
pygitconnect 0.1.2
Simple API interface for more convenient work with GitHub service
License: MIT
Requires Python: >=3.7,<4.0
Keywords: github,git,package

# pyGitConnect
Python module for more convenient work with GitHub.

[![Downloads](https://pepy.tech/badge/pygitconnect)](https://pepy.tech/project/pygitconnect)
[![Downloads](https://pepy.tech/badge/pygitconnect/month)](https://pepy.tech/project/pygitconnect)
[![Downloads](https://pepy.tech/badge/pygitconnect/week)](https://pepy.tech/project/pygitconnect)
[![Supported Versions](https://img.shields.io/pypi/pyversions/pygitconnect.svg)](https://pypi.org/project/pygitconnect)
[![PyPI](https://img.shields.io/pypi/v/pygitconnect.svg)](https://pypi.org/project/pygitconnect/)
[![PyPi](https://img.shields.io/pypi/format/pygitconnect)](https://pypi.org/project/pygitconnect/)
![GitHub top language](https://img.shields.io/github/languages/top/tankalxat34/pygitconnect)
[![GitHub last commit](https://img.shields.io/github/last-commit/tankalxat34/pygitconnect)](https://github.com/tankalxat34/pygitconnect/commits/main)        
[![GitHub Release Date](https://img.shields.io/github/release-date/tankalxat34/pygitconnect)](https://github.com/tankalxat34/pygitconnect/releases)

[![GitHub Repo stars](https://img.shields.io/github/stars/tankalxat34/pygitconnect?style=social)](https://github.com/tankalxat34/pygitconnect)

# Example of use

```py
import pyGitConnect

# Creating User-object
userGitHub = pyGitConnect.User(
    token="YOUR_TOKEN",
    username="YOUR_USERNAME_ON_GITHUB",
    email="YOUR_EMAIL_ON_GITHUB"
)

# conneting to file on GitHub
file = pyGitConnect.File(userGitHub, "repositoryName/branchName/path/to/your/file.txt")
# getting readable text from file on GitHub
print(file.get().decode("UTF-8"))

# reading file from your drive
newFile = pyGitConnect.NewFile(userGitHub, "B:\\GITHUB\\path\\to\\script.py")
# pushing new file to your repository on GitHub
print(newFile.push("repositoryName/branchName/path/to/your/script/"))

# connecting to uploaded file
uploadedFile = pyGitConnect.File(userGitHub, "repositoryName/branchName/path/to/your/script/script.py")
# printing readable content from uploaded file
print(uploadedFile.get().decode("UTF-8"))
```