semvec/pypi-packages huggingface dataset:
phenio-toolkit 0.1.5
phenio-toolkit
License: MIT
Requires Python: >=3.9,<4.0

# phenio_toolkit

This is the project description.

# Acknowledgements

This [cookiecutter](https://cookiecutter.readthedocs.io/en/stable/README.html) project was developed from the [monarch-project-template](https://github.com/monarch-initiative/monarch-project-template) template and will be kept up-to-date using [cruft](https://cruft.github.io/cruft/).
pip-reqs 0.12.0
Helpers for dealing with pip requirements
License: MIT

pip-reqs
========

Command line tools to streamline and speed up management of pip requirements using a remote wheels proxy instance.


Release
-------

To release a new version, update the CHANGELOG.rst file, update the version in the ``pip_reqs/__init__.py`` file and execute the following commands::

   python3 setup.py sdist bdist_wheel
   twine upload dist/*



CHANGELOG
=========

0.12.0 (2023-12-13)
-------------------

* Ensure compatibility with pip 23.0.x, 23.2.x, and 23.3.x.


0.11.0 (2022-11-14)
-------------------

* Ensure compatibility with pip 21.3.1, 22.0.x, 22.1.x, 22.2.x, 22.3.1.


0.10.0 (2021-07-02)
-------------------

* Drop compatibility with python < 3.6.
* Drop comptaibility with pip < 20.
* Ensure compatibility with pip 21.x.


0.9.1 (2021-03-26)
------------------

* Further improved handling of dependency resolution errors.


0.9.0 (2020-12-30)
------------------

* Ensure compatibility with pip 20.3.x.
* Drop support for pip < 19.x.
* Add python 3.9 to the build matrix.
* Properly handle dependency resolution errors.


0.8.6 (2020-07-16)
------------------

* Ensure compatibility with pip 20.1.x.
* Add Python 3.8 to the build matrix.


0.8.5 (2020-02-10)
------------------

* Ensure compatibility with pip 20.0.x.


0.8.4 (2020-01-09)
------------------

* Ensure compatibility with pip 19.3.x.


0.8.3 (2019-08-05)
------------------

* Open files in unicode mode. For both ``compile`` and ``resolve``.


0.8.2 (2019-08-05)
------------------

* Open files in unicode mode.


0.8.1 (2019-08-03)
------------------

* Ensure compatibility with pip 19.2.x.


0.8.0 (2019-03-27)
------------------

* Add tests
* Ensure compatibility with pip 18.x and pip 19.x.
* Ensure compatibility with Python 2.7, 3.6, and 3.7.


0.7.3 (2019-03-27)
------------------

* Remove `process_dependency_link` support (pip >= 19.0 compatibility).


0.7.2 (2019-01-11)
------------------

* Bring back default argument values.


0.7.1 (2019-01-11)
------------------

* Fix issues with pip upgrade.


0.7 (2019-01-09)
----------------

* Drop Python 2.7 compatibility.
* Drop support for pip<10.
* Drop dependencies (click and requests).
* Use black for formatting.


0.6 (2018-08-20)
----------------

* Compatibility with pip>=10.


0.5 (2016-09-14)
----------------

* Better error reporting.


0.4 (2016-08-24)
----------------

* Python 3 compatibility.


0.3 (2016-08-24)
----------------

* Rename package from pip_reqs to pip-reqs.


0.2 (2016-08-24)
----------------

* Build universal wheels.


0.1 (2016-08-24)
----------------

* Initial release.
heartsupersound 0.0.11
a package for supersound
License: MIT
Requires Python: >=3.6

#### SupersoundReconstruction提供超声建模的一些方法参数  
## image.py
image_to_millimeter  
points_to_millimeter   
get_point_threshold  
read_and_clear_image  
read_image  
plot_contours  
## matrix.py
quaternion_to_matrix  
quaternion_to_euler  
euler_to_matrix    
matrix_to_euler   
cloud_rotate_around_point    
cloud_translate  
## readfile.py
read_record()  
read_json()  
get_format_file_list()  
## point.py
farthest_point_sample
supersound-r 0.0.11
a package for supersound
License: MIT
Requires Python: >=3.6

#### SupersoundReconstruction提供超声建模的一些方法参数  
## image.py
image_to_millimeter  
points_to_millimeter   
get_point_threshold  
read_and_clear_image  
read_image  
plot_contours  
## matrix.py
quaternion_to_matrix  
quaternion_to_euler  
euler_to_matrix    
matrix_to_euler   
cloud_rotate_around_point    
cloud_translate  
## readfile.py
read_record()  
read_json()  
get_format_file_list()  
## point.py
farthest_point_sample
uxagent 0.1.4
Random user agent
License: MIT
Requires Python: ~=3.7
Keywords: python,useragent,telegram

<p align="center">
    RANDOM USER AGENTS © 2023
</p>

<p align="center">
   <a href="https://telegram.dog/clinton_abraham"><img src="https://img.shields.io/badge/𝑪𝒍𝒊𝒏𝒕𝒐𝒏 𝑨𝒃𝒓𝒂𝒉𝒂𝒎-30302f?style=flat&logo=telegram" alt="telegram badge"/></a>
   <a href="https://telegram.dog/Space_x_bots"><img src="https://img.shields.io/badge/Sᴘᴀᴄᴇ ✗ ʙᴏᴛꜱ-30302f?style=flat&logo=telegram" alt="telegram badge"/></a>
   <a href="https://telegram.dog/sources_codes"><img src="https://img.shields.io/badge/Sᴏᴜʀᴄᴇ ᴄᴏᴅᴇꜱ-30302f?style=flat&logo=telegram" alt="telegram badge"/></a>
</p>


Random User Agents is a python library that provides list of user agents,
from a collection of more than 326,000+ user agents, based on filters.


## INSTALLATION

You can install random useragent by running the following command:

```bash
  pip install uxagent
```


## USAGE

```python

from Uxagent import UserAgent
from Uxagent import SoftwareName
from Uxagent import OperatingSystem

software = [ SoftwareName.APP024.value ]

osystems = [ OperatingSystem.COD001.value, OperatingSystem.COD002.value ]

rotators = UserAgent(limit=100, operating_system=osystems, software_names=software)

# GET RANDOM USER AGENT
user_agent = rotators.get_user_agent()
print(user_agent)

# GET LIST OF USER AGENTS
user_agents = rotators.get_user_agents()
print(user_agents)

```


All filters are available > [here](https://github.com/Clinton-Abraham/TEMPLATES/tree/V1.0/NOTE02/readme.md)


## LICENSE

The MIT License. Please see [License File](https://github.com/Clinton-Abraham/USER-X-AGENT/blob/V1.0/LICENSE) for more information.


## USER AGENTS SOURCE

Special thanks to [whatismybrowser](https://developers.whatismybrowser.com/) for providing real user agents.
customer-retention-toolkit 0.1.1
A toolkit for customer retention analysis and prediction.
License: MIT
Keywords: customer retention machine learning

## **Setup and Configuration**

For installing the package, run the following: 
 ```python
pip install customer_retention_toolkit
```

Follow these steps to set up and run the package:

1. Create a new virtual environment:
   ```python
   python -m venv venv
   ```
2. Install the required packages using the provided `requirements.txt`:
   ```python
   pip install -r requirements.txt
   ```
3.For demo purposes, execute the code cells in `example.ipynb`.

When you get to the API section:

1. Start the API with:
   ```python
   python run.py
   ```

For web usage of the API:

- Visit: `http://127.0.0.1:5000`
- For detailed API documentation, go to: [`http://127.0.0.1:5000/docs`](http://127.0.0.1:5000/docs) (Press Enter).
- Click on `get_info`, then `try it out`. Input any ID from 1 to 3 and hit `execute`.
- The result will appear in the `Response` body.

For comprehensive documentation on the project, including step-by-step guides and detailed explanations, visit our [Documentation](https://davv13.github.io/MkDocs-/).

---

In the competitive world of subscription services, customer retention is key to sustained business success. High churn rates can significantly impact revenue and growth. This project aims to tackle churn by predicting which customers may leave using advanced analytics and machine learning, based on their interaction history and engagement patterns.