semvec/pypi-packages huggingface dataset:
bycolors 0.4.1
Blue and yellow colors for matplotlib.
Requires Python: >=3.7

# B/Y Colors

A Python package for working with colors, providing an intuitive interface for color manipulation, transformation, and variant generation. Based palette is blue and yellow, which gives the name of the package.

## Features

- Simple and intuitive color manipulation
- Support for RGB, RGBA, and HEX color formats
- Color brightness adjustment (relative and absolute)
- Opacity/transparency control
- Automatic dark and light variant generation
- Background color compositing for transparent colors

## Installation

Install using pip:

```bash
pip install bycolors
```

## Quick Start

```python
from bycolors import colors as byc

# Basic color usage
blue = byc.blue
yellow = byc.yellow

# Color variants
dark_blue = blue.dark
light_yellow = yellow.light

# Custom brightness
custom_blue = blue.brightness(0.7)  # 70% relative brightness
very_dark = blue.absolute_brightness(0.2)  # 20% absolute brightness

# Transparency
semi_transparent = blue.opacity(0.5)
fully_transparent = blue.transparent

# Color format conversion
# here for illustration blue is a perfect blue (#0000FF)
rgb_values = blue.rgb        # (0, 0, 1)
rgba_values = blue.rgba      # (0, 0, 1, 1)
hex_value = blue.hex         # "#0000FF"

# Custom background for transparent colors
blue_on_white = blue.opacity(0.5, background_color=(1, 1, 1)).rgb  # (0.5, 0.5, 1)
```

## Documentation

For detailed documentation, visit:
- [Python Package Documentation](https://colors.kyrylo.gr/python/)
- [Color Class Reference](https://colors.kyrylo.gr/python/color_class)
- [Color Map Reference](https://colors.kyrylo.gr/python/cmap)

## Contributing

Contributions are welcome! For any suggestions or issues:
1. Open an issue to discuss the proposed changes
2. Fork the repository
3. Create a pull request

## License

This project is licensed under the MIT License - see the LICENSE file for details.
pyFBS 0.3.3
pyFBS: A Python package for Frequency Based Substructuring and Transfer Path Analysis
Requires Python: >=3.11

.. image:: https://gitlab.com/pyFBS/pyFBS/-/raw/master/docs/logo/logo-big.png
	:align: right
	:width: 300

pyFBS
-----
	
pyFBS is a Python package for Frequency Based Substructuring, Transfer Path Analysis and also, as a new addition, multi-reference modal identification. 
It enables the user to use state-of-the-art dynamic substructuring methodologies in an intuitive manner. 

With the package also basic and application examples are provided, together with real datasets so you can directly try out the capabilities of the pyFBS.

|pypi| |docs| |codequality| |MIT|

Features
--------

* 3D display

* FRF synthetization

* Virtual Point Transformation

* System Equivalent Model Mixing

* Singular Vector Transformation

* Experimental Modal Analysis

For more information on features, basic and application examples check out the `documentation`_. 

Citation
--------
A paper about the pyFBS will be submitted to the Journal of Open Source Software journal. If you will be using pyFBS in your scientific research, please consider citing the paper.

License
-------
Licensed under the MIT license.

.. _documentation: https://pyfbs.readthedocs.io/en/latest/intro.html

.. |pypi| image:: https://img.shields.io/pypi/v/pyfbs?style=flat-square
   :target: https://pypi.org/project/pyfbs/

.. |docs| image:: https://readthedocs.org/projects/pyfbs/badge/?version=latest
   :target: https://pyfbs.readthedocs.io/en/latest/?badge=latest

.. |MIT| image:: https://img.shields.io/badge/License-MIT-yellow.svg
   :target: https://opensource.org/licenses/MIT
   
.. |codecov| image:: https://codecov.io/gl/pyFBS/pyFBS/branch/\x6d6173746572/graph/badge.svg?token=XSGM89JGMF
   :target: https://codecov.io/gl/pyFBS/pyFBS

.. |codequality| image:: https://app.codacy.com/project/badge/Grade/dbb59e10c07543b6b61c083a09eac500    
   :target: https://www.codacy.com/gl/pyFBS/pyFBS/dashboard?utm_source=gitlab.com&amp;utm_medium=referral&amp;utm_content=pyFBS/pyFBS&amp;utm_campaign=Badge_Grade
pyimg2ascii 0.5
Convert images to ASCII art
Requires Python: >=3.7

# pyimg2asciii  

Convert images into ASCII art with a simple Python library.  

---

##  Installation  

##   Terminal

```bash
pip install pyimg2asciii
```
##  Google Colab
---

```bash
!pip install pyimg2asciii
```

---

##  Usage  

### Example 1: Print ASCII art in terminal
```python
from image2ascii import convert_image_to_ascii

# Convert image to ASCII
ascii_art = convert_image_to_ascii("input.jpg", new_width=80)

# Print result
print(ascii_art)
```

---

### Example 2: Save ASCII art to file
```python
from image2ascii import convert_image_to_ascii

ascii_art = convert_image_to_ascii("input.jpg", new_width=100)

with open("ascii_output.txt", "w") as f:
    f.write(ascii_art)
```

---

##  Parameters  

- **`image_path`** *(str)* → Path to input image.  
- **`new_width`** *(int, optional)* → Width of ASCII art (default: 100).  

---

##  Example Output  

If you run the library on an image, you’ll get ASCII art like:  

```
@@@@@@@@@@%%%%###****
@@@@@@%%%%####***+++
@@@%%%####***++++=--
```

---

##  License  

MIT License © 2025  

Created by D.Abhiram 😊