voltops 0.1.0

A Python library for electronic formulas and signal processing

Voltops

Voltops is a Python library built for electronics and signal processing enthusiasts. Whether you're an engineer, student, or hobbyist, this package offers intuitive functions for working with electrical formulas and analyzing signals with ease.

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Installation

pip install voltops

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Quick Start

Basic Electronic Formulas

from voltops.formulas.basic import BasicFormulas

# Calculate voltage using Ohm's Law: V = I * R
voltage = BasicFormulas.ohms_law(current=2, resistance=5)
print(f"Voltage: {voltage} V")  # Output: Voltage: 10 V

# Calculate power: P = V * I
power = BasicFormulas.power(voltage=10, current=2)
print(f"Power: {power} W")  # Output: Power: 20 W

Frequency Spectrum Analysis

import numpy as np
from voltops.signal_processing.transforms import Transforms

# Generate a simple sine wave signal
t = np.linspace(0, 1, 1000, endpoint=False)
signal = np.sin(2 * np.pi * 10 * t)

# Get the frequency spectrum
freqs, amps = Transforms.frequency_spectrum(signal, sampling_rate=1000)

Filtering Signals

from voltops.signal_processing.filters import Filters

# Create a signal with multiple frequency components
t = np.linspace(0, 1, 1000, endpoint=False)
signal = np.sin(2 * np.pi * 10 * t) + 0.5 * np.sin(2 * np.pi * 20 * t)

# Apply a low-pass filter with a cutoff at 15 Hz
filtered_signal = Filters.low_pass_filter(signal, cutoff=15, sampling_rate=1000)

Features

• Electronic Formulas: Ohm's Law, power, and more.
• Signal Processing: FFT, DFT, filtering, and spectral analysis.
• Extensible API: Easy-to-use, modular design for seamless integration.

Contributing

Contributions are welcome!
If you'd like to report a bug, request a feature, or contribute code, feel free to open an issue or submit a pull request on GitHub.

Maintainers

This library is actively developed and maintained by Madhur Thareja.

📄 License

Licensed under the MIT License.
Feel free to use, modify, and distribute this library.