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# rangekeeper | ||
A Python library assisting financial modelling in scenario planning, decision-making, cashflow forecasting, and the like | ||
# Rangekeeper | ||
Rangekeeper is a library assisting financial modelling in real estate scenario planning, decision-making, cashflow forecasting, and the like. | ||
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It decomposes elements of the Discounted Cash Flow (DCF) Proforma modelling approach into recomposable code functions that can be wired together to form a full model. More elaborate and worked-through examples of these classes and functions will be documented in a forthcoming Jupyter Book to be found in the `/notebooks` directory. | ||
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Development of the library follows the rigorous methodology established by Profs Geltner and de Neufville in their book [Flexibility and Real Estate Valuation under Uncertainty: A Practical Guide for Developers](https://doi.org/10.1002/9781119106470) | ||
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## Dependencies: | ||
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- Python >= 3.9 & < 3.11 | ||
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- Poetry: <https://python-poetry.org/>, a package manager (although it is possible to roll your own; YMMV) | ||
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## Installation | ||
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1. Install poetry, if you haven't yet: <https://python-poetry.org/docs/master/#installing-with-the-official-installer> | ||
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2. Clone this repo. | ||
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3. Use a terminal to install poetry packages from the repo's directory: `<path_to_repo>$ poetry install` |
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import sys | ||
sys.path.append("./rangekeeper") |
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