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Remove Anaconda from installation methods
There are now reports from even universities being charged licensing fees.
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README.rst

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@@ -82,20 +82,14 @@ Using uv (recommended)
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for details).
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Using anaconda
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^^^^^^^^^^^^^^
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Using conda-forge
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^^^^^^^^^^^^^^^^^
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Choose one of the three following options.
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Set up a `conda forge <https://conda-forge.org>`_-enabled
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installation by downloading and executing an installer from
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`the web page <https://conda-forge.org/download/>`_.
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Install miniforge
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"""""""""""""""""
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Set up a minimal `conda forge <https://conda-forge.org>`_-enabled anaconda
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installation by downloading and executing a Miniforge3 installer from
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`github <https://github.com/conda-forge/miniforge/#download>`_.
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Then open an Anaconda prompt and type
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Then open a Miniforge prompt and type
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::
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to install the sdt-python package and some optional, recommended packages.
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Convert a miniconda installation to `conda forge <https://conda-forge.org>`_
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""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
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The following will most likely fail on a full Anaconda install, hence it is
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recommended to use `miniconda <https://docs.conda.io/en/latest/miniconda.html>`_
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(minimal Anaconda)
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First, install miniconda (Python 3.x version). Then open an Anaconda prompt and
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type
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::
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conda config --add channels conda-forge
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conda config --set channel_priority strict
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conda update --all
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conda install sdt-python
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conda install opencv trackpy lmfit ipympl scikit-learn pyqt
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The last line installs optional, recommended packages.
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Instead of converting the whole installation to conda-forge, it is possible to
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Create a new environment using `conda forge <https://conda-forge.org>`_
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"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
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This method works for
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`Anaconda <https://www.anaconda.com/products/individual>`_ /
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`miniconda <https://docs.conda.io/en/latest/miniconda.html>`_ installs.
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::
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conda create -n sdt_env -c conda-forge --strict-channel-priority sdt-python
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conda install -n sdt_env -c conda-forge --strict-channel-priority opencv trackpy lmfit ipympl scikit-learn
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conda activate sdt_env
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The second line installs optional, recommended packages. ``sdt_env`` is the
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name of the new environment. For more information on conda environments,
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have a look
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`here <https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html>`_.
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Using pip
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^^^^^^^^^
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in an Anaconda prompt.
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If a separate environment is used, type
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::
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conda activate sdt_env
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conda update -c conda-forge --strict-channel-priority sdt-python
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If you chose an environment name different from ``sdt_env`` when installing,
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adapt accordingly.
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If `pip` is used, run
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::

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