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AI Summary: This issue focuses on establishing a foundational Python development environment. It involves creating a virtual environment, installing essential data science libraries such as pandas, numpy, matplotlib, and scikit-learn, and organizing the project with a proper directory structure.
Complexity:
1/5
good first issue
Currency-trends App is a Python-based project for analyzing and forecasting central bank currency exchange rates. It processes historical exchange rate data (2016–2025), visualizes currency trends over time, and predicts future values using time-series forecasting models