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@@ -11,9 +11,9 @@ Much of the software in this project is written in Python.
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It is usually worthwhile to install Python packages into a virtual environment,
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which allows them to be isolated from those in other projects which might have different version constraints.
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Most of our team uses [Anaconda](https://docs.anaconda.com/anaconda/install/).
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Another popular solution for managing Python environments is [Anaconda/Miniconda](https://docs.conda.io/en/latest/miniconda.html).
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A third option is to use [`pyenv`](https://github.com/pyenv/pyenv).
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Some of our team uses [Anaconda](https://docs.anaconda.com/anaconda/install/) for managing Python environments.
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Another popular and lighter-weight solution is [Miniconda](https://docs.conda.io/en/latest/miniconda.html).
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A third option is [`pyenv`](https://github.com/pyenv/pyenv).
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Pyenv is lighter weight, but is Python-only, whereas conda allows you to install packages from other language ecosystems.
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Here are instructions for setting up a Python environment using Miniconda:
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Python dependencies are specified using [`poetry`](https://python-poetry.org/).
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To install them, open a terminal and ensure you are working in the (`data-infrastructure`) root folder with your `infra` environment activated, then enter the following:
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To install them, open a terminal and ensure you are working in the `data-infrastructure` root folder with your `infra` environment activated, then enter the following:
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