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Economic Simulation Project

Overview

This project aims to simulate the economic interactions within a country, capturing the dynamics between various agents such as consumers, corporations, and government entities. The simulation will provide insights through interactive visualizations of economic data and results.

Objective

  • To create a robust simulation of economic activities within a simulated environment.
  • To visualize the economic impact of different agents and their interactions in real-time.

Technologies Used

  • Python: Main programming language for simulation.
  • NumPy & Pandas: For numerical operations and data manipulation.
  • Matplotlib/Plotly: For creating interactive and static visualizations.
  • TensorFlow/PyTorch (Optional): For integrating machine learning components if required.

Project Structure

.
├── data                    # Folder for sample datasets and inputs
├── docs                    # Documentation files and related material
├── src                     # Source files for the project
│   ├── agents.py           # Defines the economic agents
│   ├── market.py           # Handles market system and interactions
│   ├── analysis.py         # For data collection and analysis
│   └── visualization.py    # Scripts for data visualization
├── tests                   # Automated tests for the simulation components
├── LICENSE
└── README.md

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