semvec/pypi-packages huggingface dataset:
minder-downloader 0.1.20
The minder-downloader module provides a simple interface for downloading datasets and uploading reports using the Minder research portal.
Requires Python: >3.9

# Minder Downloader
The minder-downloader module is a Python package that provides a user-friendly interface for interacting with the Minder research portal. This package enables users to easily download datasets from the Minder research portal, as well as upload reports to the platform.

The downloading functionality of the package is straightforward to use. The module handles the authentication and request/response handling, so the user doesn't need to worry about the details of these processes. Once authenticated, users can specify the date range and datasets to download, and the module will return the data as a Pandas DataFrame. This makes it easy to work with the data using Python's powerful data analysis tools.

In addition to downloading data, the minder-downloader module also provides a simple way to upload reports to the Minder research portal. This can be done by providing the path to a file and the HTML address to upload the file to. The module takes care of the uploading process, making it easy to share reports with collaborators or the wider research community.

Overall, the minder-downloader package provides a convenient and streamlined way to interact with the Minder research portal, whether you need to download data or upload reports.

## Installation
You can install minder-downloader using pip:

```bash
pip install minder-downloader
```

## Usage
Here is a simple example of how to use minder-downloader to download data from the Minder research portal:

```python
from datetime import datetime, timedelta
from minder_downloader import MinderDatasetDownload

# Define date range and datasets to download
since = datetime.now() - timedelta(days=7)
until = datetime.now()
datasets = ['example_dataset_1', 'example_dataset_2']

# Create downloader object and download data
downloader = MinderDatasetDownload(since, until, datasets)
data = downloader.download_data()

# Print downloaded data
print(data.head())
```

This will download the specified datasets for the past week and print the first few rows of the resulting DataFrame.

## License
minder-downloader is licensed under the MIT License. See the LICENSE file for details.

## Acknowledgements
This module was created by Dr Eyal Soreq. If you find it useful, please consider citing it in your research.
michaelPanLogLib 0.0.2
all kind of log

# Log function library

## 1.Introduction

> Hello user, I am the author of this library. We often deal with logs in daily programming, although writing logs is not too difficult, but this library aims to make it easier to complete the various functions of the log

## 2.Use method

```python
# pip install michaelPanLogLib
"""
	from michaelPanLogLib,logs import AllKindLog
	a_log = AllKindLog()
	a_log.write_log_file(f"D:/pycharm_project/michaelPanLogLib/test1.yml","hello world")  # Write a content to log file
	a_log.write_log_file(f"D:/pycharm_project/michaelPanLogLib/test1.yml", "hi world")
	a_log.find_log_file(f"D:/pycharm_project/michaelPanLogLib/test1.yml", "world")  # Find every log that contains "hello"
	a_log.clear_log_file(f"D:/pycharm_project/michaelPanLogLib/test1.yml")  # clear the log file
	a_log.delete_file(f"D:/pycharm_project/michaelPanLogLib/test1.yml")  # delete the log file
"""
```

## 3.Contact information

```python
# ***************************************************************
# Maintainers:
#     chuntong pan <panzhang1314@gmail.com>
# Date:
#     2023.11
# ***************************************************************
```
nphmu-vdm 0.0.2
A package for Vibrations and Machine Dynamics
Requires Python: >=3.6

# Machine Dynamics and Vibrations 

This is a package for helping with the lecture of npapnet at the Mechanical Engineering department. 

Contains code for:

- SDOF system
  - Free response
    - Undamped
    - Damped
  - Forced HArmonic response
    - Undamped
    - Damped 
- TDOF systems
- MDOF systems
custodes 0.1.1
ok


App guardians.

# Usage
```python
import asyncio
from typing import Any, Dict

from codefast.asyncio.rabbitmq import consume
from rich import print

from custodes.server import get
from custodes.client import post

async def main():
    return await asyncio.gather(
        post('custodes server', {'code': 0, 'message': 'OK'}, loop=True, expire=120),
        get()
    )

if __name__ == '__main__':
    cf.info('custodes server started...')
    asyncio.run(main())

```