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This repository contains a Python simulation model that forecasts political, economic, and social factors over a specified period under a hypothetical presidency 🏛️. Users can input initial values for key variables, and the model simulates their progression through defined interactions and random variations 📊.
- User-Defined Parameters: Set initial values for GDP growth rate 📈, unemployment rate 📉, public approval rating 👍👎, legislative success rate 📜, social unrest index 🔥, and immigration rate 🛂.
- Flexible Duration: Simulate any number of years, from short-term to long-term projections 📆.
- Detailed Interactions: Model the relationships between variables to simulate realistic outcomes 🎯.
- Enhanced Visualization: Visualize the results with detailed plots 📊 for each variable over time.
- Advanced Libraries: Utilizes SciPy for scientific computing 🧑🔬 and SimPy for discrete-event simulation ⚙️ to provide robust and accurate modeling.
- Simulation Logging: Logs the simulation process for detailed tracking and analysis 📝.
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To run the simulation, you'll need Python installed. Choose one of the following versions:
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Clone the repository:
git clone https://github.com/kernferm/presidential-future-events-simulation.git cd presidential-future-events-simulation -
Run the batch script to install the required dependencies:
install_dependencies.bat
This script will:
- ✅ Check if Python is installed.
- ✅ Check if pip is installed and attempt to install it if not.
- ✅ Install the necessary Python packages:
numpy,matplotlib,scipy, andsimpy. - 📝 Log the installation process to
install_log.txtfor troubleshooting.
The install_dependencies.bat script logs each step of the installation process to a file named install_log.txt 📄. This log includes:
- Python installation verification.
- Pip installation verification and installation (if needed).
- Installation of required Python packages.
- Success or failure messages for each step ✅❌.
The main.py simulation script logs the progression of the simulation to a file named simulation_log.txt. This log includes:
- Initial values for the simulation 🧐.
- Monthly updates for each time step (GDP growth, unemployment rate, public approval, legislative success, social unrest, and immigration rate) 🗓️.
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Run the simulation script:
python main.py
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Follow the prompts to input values for the number of years and initial variables:
Enter the number of years for the simulation: Enter initial GDP growth rate (%): Enter initial unemployment rate (%): Enter initial public approval rating (%): Enter initial legislative success rate (%): Enter initial social unrest index (0-100): Enter initial immigration rate (%): -
The simulation will run for the specified number of years (with monthly steps) and generate plots 📊 showing the progression of each variable over time.
After running the script and inputting initial values, the following plots will be generated:
- GDP Growth (%) 📈
- Unemployment Rate (%) 📉
- Public Approval (%) 👍👎
- Legislative Success Rate (%) 📜
- Social Unrest Index 🔥
- Immigration Rate (%) 🛂
These plots provide a visual representation of the simulated impacts of the hypothetical presidency on the various factors over the specified period 🏛️.
Contributions are welcome! If you have ideas for improving the simulation or adding new features, please open an issue or submit a pull request 🙌.
This project is licensed under the MIT License 📄. See the LICENSE file for details.
- User-Defined Parameters: Customize the simulation with your own initial values for key political, economic, and social factors.
- Installation: Provides step-by-step instructions for setting up the simulation.
- Usage: Explains how to run the simulation and input values.
- Logging: Describes the log files created during installation and simulation for troubleshooting.