guedo 0.1.0

A comprehensive program provider library for electrical engineering education

Guedo - Electrical Engineering Program Library

A comprehensive Python library providing educational programs for electrical engineering concepts, including circuit analysis, Kirchhoff's laws, and signal processing demonstrations.

Features

• 14 comprehensive programs covering electrical engineering fundamentals
• Arithmetic calculations and mathematical operations
• Kirchhoff's Current Law (KCL) verification with simulation
• Kirchhoff's Voltage Law (KVL) verification and visualization
• Ohm's Law verification
• Power calculations (Active, Reactive, and Apparent Power)
• Logic gate implementations
• Circuit analysis (RL and RC circuits)
• Solar panel characteristics analysis
• Interactive visualizations with matplotlib

Installation

Install guedo directly from PyPI:

pip install guedo

Quick Start

from guedo import dl

# Display program 1 (Arithmetic Calculations)
dl(1)

# Display program 6 (KCL Simulation)
dl(6)

# Display program 8 (KVL Simulation)
dl(8)

Available Programs

Program	Description
1	Arithmetic Calculations
2	Multiplication Table
3	Ohm's Law Verification
4	KCL Verification
5	KCL Verification (Multiple Branches)
6	KCL Simulation with Random Currents
7	KCL Verification with Graphical Representation
8	KVL Simulation and Visualization
9	KVL Verification
10	Interactive KCL with Sliders
11	Active, Reactive, and Apparent Power
12	Logic Gates (AND, OR, NOT, NAND, NOR, XOR)
13	RL and RC Circuit Frequency Response
14	Solar Panel I-V and P-V Characteristics

Usage Examples

Example 1: View a Specific Program

from guedo import dl

# Get and display program 3 (Ohm's Law)
dl(3)

Example 2: Run Interactive Programs

Some programs are interactive and will request user input:

from guedo import dl

# Run program 9 (KVL with user input)
dl(9)

Example 3: View Visualizations

Programs 7, 8, 10, 13, and 14 include matplotlib visualizations:

from guedo import dl

# Display program 14 (Solar Panel Characteristics)
dl(14)

Requirements

• Python 3.6 or higher
• matplotlib (for visualization programs)
• numpy (for numerical operations)
• ipywidgets (for interactive programs)

License

This project is licensed under the MIT License - see the LICENSE file for details.

Author

Your Name ([e-mail])

Contributing

Contributions are welcome! Feel free to open issues and submit pull requests.

Support

For support, issues, or questions, please visit the project repository or contact the author.