semvec/pypi-packages huggingface dataset:
imo-vmdb 1.4.0
Imports VMDB CSV files from IMO into a SQL database.
License: MIT
Requires Python: >=3.8,<4.0
Keywords: IMO,VMDB,SQL

# imo-vmdb

This project provides a command line tool to maintain a SQL interface to the
[Visual Meteor Database (VMDB)](https://www.imo.net/members/imo_vmdb/)
of the
[International Meteor Organization (IMO)](https://www.imo.net/).

The IMO provides the data in the form of pure text files [(CSV files)](https://en.wikipedia.org/wiki/Comma-separated_values).
This format is not suitable for the evaluation of this data.
With *imo-vmdb* this data is imported into a relational SQL database.
A large number of programming languages have interfaces to these databases.
This makes it possible to load data from the VMDB according to different criteria in different applications.

No evaluations can be performed with *imo-vmdb* itself.
However, during the import of the data, various error and plausibility checks are performed.
This ensures that the data are suitable for analysis.
In addition, the observations are supplemented with properties in order to be able to filter according to these properties.
Examples are the positions of the radiants, the sun and the moon.

For more information see https://imo-vmdb.readthedocs.io/en/latest/
.
BilfenAuth 0.1
A web scraping tool for Bilfen website
License: MIT
Requires Python: >=3.6
Keywords: web scraping authentication bilfen


# Bilfen Authentication Web Scraping Tool

## Description

This Python package provides a tool for authenticating and verifying users against the [Bilfen](https://bilgimerkezi.bilfenlisesi.com) website. It is designed to ensure that individuals attempting to access certain functionalities are indeed students of Bilfen by validating their credentials and scraping relevant data from their accounts.

## Why Web Scraping?

Web scraping is utilized here as a means to automate the process of logging into the Bilfen website, downloading user profile pictures, and extracting user details. This method enables us to efficiently confirm the authenticity of a user's Bilfen student status.

## Features

- User authentication via the Bilfen website.
- Downloading of user profile pictures.
- Extraction of user details such as name, school, classroom, and contact information.

## Installation

To install this package, you will need Python 3.6 or later. You can install the package using pip:

```bash
pip install bilfenauth
```

(Replace `bilfenauth` with the actual name of your package.)

## Dependencies

- `requests`
- `beautifulsoup4`

These dependencies will be automatically installed when you install the package.

## Usage

Import and use the `Bilfen_Auth` function in your Python script as follows:

```python
import Bilfen_Auth

# Replace with actual TC and password
tc = 'tc'
password = 'password'

is_authenticated, user_data = Bilfen_Auth(tc, password)

if is_authenticated:
    print("User authenticated successfully.")
    print("User data:", user_data)
else:
    print("Authentication failed.")
```

## Important Note

This tool is intended for legitimate verification purposes only. Please ensure you have the necessary permissions to scrape data from the Bilfen website. Always adhere to ethical guidelines and legal standards when using web scraping tools.

## License

This project is licensed under the MIT License - see the LICENSE file for details.
measured 0.12.2
Fast and Pythonic library for working with measurements and quantities
License: MIT
Requires Python: >=3.8

# `measured`

`measured` is a library for measurements and quantities.

[![PyPi](https://img.shields.io/pypi/v/measured)](https://pypi.org/project/measured)
[![Build and test](https://github.com/chrisguidry/measured/actions/workflows/test.yml/badge.svg?event=push)](https://github.com/chrisguidry/measured/actions)
[![Code Coverage](https://img.shields.io/codecov/c/github/chrisguidry/measured?flag=python-3.10)](https://app.codecov.io/gh/chrisguidry/measured/)
[![Documentation Status](https://readthedocs.org/projects/measured/badge/?version=latest)](https://measured.readthedocs.io/en/latest/?badge=latest)

```python
>>> from measured import Speed
>>> from measured.si import Meter, Second
>>> distance = 10 * Meter
>>> time = 2 * Second
>>> speed = distance / time
>>> assert speed == 5 * Meter / Second
>>> assert speed.unit is Meter / Second
>>> assert speed.unit.dimension is Speed
```

The goal of `measured` is to provide a sound foundation for recording and converting
physical quantities, while maintaining the integrity of their units and dimensions.

While it aims to be the fastest library of its kind, automatically tracking the units
and dimensions of quantities introduces significant overhead.  You can use `measured`
for applications where the accuracy of the units is more important than raw numerical
computing speed.

`measured` is licenced under the MIT Licence.

[![MIT License](https://img.shields.io/github/license/chrisguidry/measured)](https://github.com/chrisguidry/measured/blob/main/LICENSE.txt)

## Installing

`measured` is available on [PyPi](https://pypi.org/project/measured), and is tested with
with Python and PyPy 3.8+:

```bash
$ pip install measured
```
[![Python Versions](https://img.shields.io/pypi/pyversions/measured)](https://pypi.org/project/measured)

## Reference

The documentation for `measured` is on [Read the
Docs](https://measured.readthedocs.io/).

## Contributing

Contributions are welcome!  Please report bug and submit pull requests to
https://github.com/chrisguidry/measured.

[![Issues](https://img.shields.io/github/issues/chrisguidry/measured)](https://github.com/chrisguidry/measured/issues) [![Pull Requests](https://img.shields.io/github/issues-pr/chrisguidry/measured)](https://github.com/chrisguidry/measured/pulls)
pycounts_s_mck 0.1.0
A package for counting the number of words in a text file
License: MIT
Requires Python: >=3.9

# pycounts

Calculate word counts in a text file!

## Installation

```bash
$ pip install pycounts
```

## Usage

`pycounts` can be used to count words in a text file and plot results
as follows:

```python
from pycounts.pycounts import count_words
from pycounts.plotting import plot_words
import matplotlib.pyplot as plt

file_path = "test.txt"  # path to your file
counts = count_words(file_path)
fig = plot_words(counts, n=10)
plt.show()
```

## Contributing

Interested in contributing? Check out the contributing guidelines. 
Please note that this project is released with a Code of Conduct. 
By contributing to this project, you agree to abide by its terms.

## License

`pycounts` was created by Tomas Beuzen. It is licensed under the terms
of the MIT license.

## Credits

`pycounts` was created with 
[`cookiecutter`](https://cookiecutter.readthedocs.io/en/latest/) and 
the `py-pkgs-cookiecutter` 
[template](https://github.com/py-pkgs/py-pkgs-cookiecutter).