semvec/pypi-packages huggingface dataset:
haslda-log 0.0.2
A simple logger

This package provides a simple logging functionality.
In the current version it allows you to
- post log messages that are added in a local file (log.txt)
- completely clear the log file

The package provides two functions:

### Posting a log message
log("message")
optional params are
- source: i.e. the __file__ variable
- level: i.e. "ERR", default is "INF"

### Clearing the log file
clear()
no params
IMAtoDICOMImage 1.0.1
IMA converter
Requires Python: >=3.6

# IMA to DICOM/Image Converter

The IMA to DICOM/Image Converter is a Python library designed to convert .IMA files, typically used for medical images, into DICOM (.dcm) files or various image formats such as JPEG, PNG, and TIFF. This library is especially useful when dealing with medical imaging data and the need to convert it into different formats for analysis or visualization.

## Installation

You can install the IMA to DICOM/Image Converter using pip:

```bash
pip install IMAtoDICOMImage

Usage:
To use this library, you can follow these basic steps:

Import the required modules and classes:

from IMAtoDICOMImageConverter import IMAConverter

Create an instance of the IMAConverter class, providing the path to your .IMA file:

ima_converter = IMAConverter("path/to/your/file.ima")


Convert .IMA to DICOM:

ima_converter.converter_ImaToDicom("path/to/save/dicom.dcm")


Convert .IMA to other image formats (JPEG, PNG, TIFF):

ima_converter.IMA_to_jpg("path/to/save/image.jpg")
ima_converter.IMA_to_png("path/to/save/image.png")
ima_converter.IMA_to_tif("path/to/save/image.tif")


Display .IMA image frames:

ima_converter.show_IMA_ImageFrame()

Extract metadata to a dictionary:

metadata = ima_converter.IMA_MetaData_ToDict()

Examples
Here are some examples of how to use this library:


# Convert .IMA to DICOM
ima_converter.converter_ImaToDicom("output.dcm")

# Convert .IMA to JPEG
ima_converter.IMA_to_jpg("output.jpg")

# Display .IMA image frame
ima_converter.show_IMA_ImageFrame()

# Extract metadata to a dictionary
metadata = ima_converter.IMA_MetaData_ToDict()


Requirements:
Python 3.x
pydicom
numpy
matplotlib
pillow (PIL)
imageio
License

This library is released under the MIT License. See the LICENSE file for details.

Credits
This library was developed by Maryam Oghbaei and is open-source to support the medical imaging community.

If you have any questions or encounter issues, please feel free to ask by email:
maryam.oghbayi@gmail.com

Happy coding!
pythics 0.0.1
Basic 2D physics library
Requires Python: >=3.7

### What is pythics?

Pythics is a simple 2D physics simulator developed alongside instruction in AP Physics 1. While mostly being an application of the concepts learned in class to further my understanding, it will be implemented to coexist with another project using pygame for game development. 

## Units
* Mass &#8594; $grams$ 
* Positions &#8594; $meters$ 
* Velocity &#8594; $\frac{meters}{second}$
* Acceleration &#8594; $\frac{meters}{second^2}$
* Forces &#8594; $Newtons$
FTP-manager 1.0.0
A Python package for FTP file management.

# FTP Manager Python Package

The **FTP Manager** Python package simplifies managing files on FTP servers. It provides easy-to-use functions for listing folders, uploading files, downloading files, and creating new folders on the FTP server. Whether you're handling large datasets or a few files, this package streamlines FTP file management tasks.

## Installation

You can install the **FTP Manager** package via pip:

``` bash
pip install FTP_manager 

```

## Usage
Here's how you can use the FTP Manager package in your Python projects:

``` python

from FTP_manager import FTPManager

# Initialize FTPManager with host, username, and password
host = 'ftp.example.com'
username = 'your_username'
password = 'your_password'
ftp_manager = FTPManager(host, username, password)

# List top-level folders on the FTP server
top_level_folders = ftp_manager.list_top_level_folders()
print("Top Level Folders:", top_level_folders)

# Upload a DataFrame as a CSV file to a remote folder
import pandas as pd
data = {'Column1': [1, 2, 3], 'Column2': ['A', 'B', 'C']}
df = pd.DataFrame(data)
remote_folder = 'data'
file_name = 'data_file'
ftp_manager.upload_file(df, remote_folder, file_name)

# Download a CSV file from the FTP server as a DataFrame
downloaded_data = ftp_manager.download_file(remote_folder, file_name)
print("Downloaded Data:")
print(downloaded_data)

# Create a new folder on the FTP server
new_folder_name = 'new_folder'
ftp_manager.create_folder(new_folder_name)

```

## Features

**List Folders**: Easily list folders on the FTP server.<br>
**Upload Files**: Upload Pandas DataFrames as CSV files to the FTP server.<br>
**Download Files**: Download CSV files from the FTP server as Pandas DataFrames.<br>
**Create Folders**: Create new folders on the FTP server.
Dependencies

The FTP Manager package requires the following dependencies:

' pandas '

## License
This project is licensed under the MIT License - see the LICENSE file for details.

## Issues and Contributions
For issues and feature requests, please [open an issue](https://github.com/mgutale/FTP_manager/issues) in the GitHub repository. Contributions are welcome; you can [create a pull request](https://github.com/mgutale/FTP_manager/pulls) with your changes.