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# ASPIRE - Algorithms for Single Particle Reconstruction - v0.8.1
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# ASPIRE - Algorithms for Single Particle Reconstruction - v0.9.0
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This is the Python version to supersede the [Matlab ASPIRE](https://github.com/PrincetonUniversity/aspire).
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For more information about the project, algorithms, and related publications please refer to the [ASPIRE Project website](http://spr.math.princeton.edu/).
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**For full documentation see [the docs](https://computationalcryoem.github.io/ASPIRE-Python).**
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**For full documentation and tutorials see [the docs](https://computationalcryoem.github.io/ASPIRE-Python).**
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Please cite using the following DOI. This DOI represents all versions, and will always resolve to the latest one.
ASPIRE is a pip-installable package that works on Linux/Mac/Windows, and requires Python 3.6. The simplest option is to use Anaconda 64-bit for your platform with a minimum of Python 3.6 and `pip`, and then use `pip` to install `aspire` in that environment.
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ASPIRE is a pip-installable package that works on Linux/Mac/Windows, and requires Python 3.7. The simplest option is to use Anaconda 64-bit for your platform with a minimum of Python 3.7 and `pip`, and then use `pip` to install `aspire` in that environment.
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```
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conda create -n aspire_env python=3.6 pip
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conda create -n aspire_env python=3.7 pip
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conda activate aspire_env
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pip install aspire
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```
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```
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If you prefer not to use Anaconda, or want to manage environments yourself, you should be able to use `pip` with Python >= 3.6.
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If you prefer not to use Anaconda, or want to manage environments yourself, you should be able to use `pip` with Python >= 3.7.
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Please see the full documentation for details.
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You may optionally install additional packages for GPU extensions:
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Installation
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============
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ASPIRE is based on Python 3.6, and comes with an ``environment.yml`` for reconstructing a working Conda environment to run the package.
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ASPIRE is based on Python 3.7, and comes with an ``environment.yml`` for reconstructing a working Conda environment to run the package.
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The package is tested on Linux/Windows/Mac OS X. Pre-built binaries are available for all platform-specific components. No manual
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compilation should be needed.
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::
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conda create --name aspire_env python=3.6 pip
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conda create --name aspire_env python=3.7 pip
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conda activate aspire_env
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pip install aspire
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Again, we recommend the above for consistency.
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However, ASPIRE is a ``pip`` package,
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so you can attempt to install it using standard ``pip`` or ``setup.py`` commands. There are methods such as ``pip --no-deps`` that can leave your other packages undisturbed, but this is left to the developer.
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ASPIRE should generally be compatible with newer version of Python, and newer dependent packages. We are currently testing 3.6, 3.7, 3.8 base Python as configured by ASPIRE, and with upgrading packages to the latest for each of those bases.
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ASPIRE should generally be compatible with newer version of Python, and newer dependent packages. We are currently testing 3.7, 3.8, 3.9, and 3.10 base Python as configured by ASPIRE, and with upgrading packages to the latest for each of those bases.
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If you encounter an issue with a custom pip install, we will try to help, but you may be on your own for support of this method of installation.
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