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profsergiocosta merged 1 commit into from
Mar 14, 2026
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Expand 'Getting Started' with Python benefits #89

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18 changes: 18 additions & 0 deletions docs/getting_started.md
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# Getting Started

## Why Python?

Python has become the standard language for data science and geographic analysis,
with a rich ecosystem of libraries that complement each other naturally:

- **Greater flexibility** — NumPy, SciPy, Pandas, GeoPandas, rasterio, and
machine learning frameworks can all be integrated into the same workflow,
allowing models of arbitrary complexity.
- **Active development** — the Python geospatial community is extremely active,
with frequent updates, extensive documentation, and strong support for
reproducible research practices.
- **Accessibility** — Python is widely considered one of the easiest languages
to learn, making spatial modeling more approachable for environmental scientists
and territorial planners who are not primarily software developers.

DisSModel builds on this ecosystem rather than replacing it. A DisSModel simulation
is just Python — the full power of the scientific stack is available at every step.

## Installation

```bash
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