/horizon-beyond

Horizon-Beyond is a fun and innovative Python library that renames functions from popular libraries like NumPy and TensorFlow with Gen Z-inspired terms, making coding a more vibrant and engaging experience. Use it to add a trendy twist to your data science and machine learning projects!

Primary LanguagePython

Horizon-Beyond

Welcome to Horizon-Beyond, a Python pip library that gives a Gen Z twist to popular libraries like TensorFlow, PyTorch, NumPy, pandas, and more by renaming their functions and modules to more trendy and modern terms. This unique library brings a touch of fun to coding while retaining the functionality of the original libraries.

Installation

Install Horizon-Beyond using pip:

pip install horizon-beyond

Sure, here’s the updated README with the specified functions included in the Quick Start and Renamed Libraries sections.

Quick Start

import horizon_beyond as hb

# Original import
import numpy as np

# Gen Z-styled import
import horizon_beyond.numpy as genz_np

# Using original NumPy
original_array = np.array([1, 2, 3, 4, 5])

# Using Gen Z-styled NumPy
trendy_array = genz_np.matrix([1, 2, 3, 4, 5])

print("Original:", original_array)
print("Trendy:", trendy_array)

Usage

To make the most of Horizon-Beyond, you can rename and use multiple libraries simultaneously in a Gen Z style:

import horizon_beyond.tensorflow as tf_vibes
import horizon_beyond.numpy as np_vibes

# Use renamed functions
data = np_vibes.matrix([[1, 2, 3], [4, 5, 6]])
const_vibe = tf_vibes.anchor(3.0)

print("Data Matrix:", data)
print("Constant Value:", const_vibe)

If you have any more requests or need further customization, feel free to ask!

Author

Syed Nabiel Hasaan M

For any questions, suggestions, or issues, please contact:

Thank you for using Horizon-Beyond. We hope it brings a new, vibrant flavor to your coding experience!