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a repository to bind them all into a <ahref="https://pypi.org/project/Mathics-omnibus/">single PyPI package</a> and provides the docker scripts that make up the <ahref="https://github.com/Mathics3/mathics-omnibus">Mathics docker image</a>.</li>
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a repository to bind them all into a <ahref="https://pypi.org/project/Mathics-omnibus/">single PyPI package</a> and provides the docker scripts that make up the <ahref="https://github.com/Mathics3/mathics-omnibus">Mathics3 docker image</a>.</li>
Sphinx documentation for developing Mathics. Browsable developer docs are <ahref="https://mathics-development-guide.readthedocs.io/en/latest/">here</a>.</li>
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<p>We are always looking for ways to collaborate with Sage or other open-source projects.</p>
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<h1>Upcoming year</h1>
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<p>Although what we have now is pretty impressive (and I am amazed we have gotten this far), we should not give the impression that Mathics is anywhere complete.</p>
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<h2>Upcoming year of 2021</h2>
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<p>Although what we have now is pretty impressive (and I am amazed we have gotten this far), we should not give the impression that Mathics3 is anywhere complete.</p>
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<p>Here is what we are working on and what I hope to see accomplished over the next year:
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<ul>
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<li> Speeding up performance in the Mathics interpreter — we are working on this right now.</li>
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<li> Speeding up performance in the Mathics3 interpreter — we are working on this right now.</li>
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<li>FindMinimum — it was started but is not complete</li>
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<li>Speeding up loading time - this is harder and can only come after the above</li>
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<li>Being able to run more large Mathematica packages out of the box. Right now we can handle Steven Skiena"e;s Combinatorica v0.9. We would like to see, Rubi and KnotTheory at least added to this. If you have suggestions and are willing to help out contact us. Right now we are finding the performance the biggest obstacle here.
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Setting up some sort of registry of Mathematica packages that work on Mathics</li>
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<li>Supporting Backward compatibility of older Mathematica versions</li>
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<li>Jupyter integration. Right now the main obstacle is cleaning up the API interaction between Mathics core and front ends</li>
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<li>Jupyter integration. Right now the main obstacle is cleaning up the API interaction between Mathics3 core and front ends</li>
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</ul>
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</p>
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And of course if you are a Python programmer, especially with a facility for Sympy, numpy, mpmath or Scipy, please join us.</p>
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<p>Last, and most important, I would like to mention and offer great thanks to those who have been a part of the Mathics team which has done all of the things above. Without these people we would have been stuck back a decade ago in 2011.</p>
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<p>Last, and most important, I would like to mention and offer great thanks to those who have been a part of the Mathics3 team which has done all of the things above. Without these people we would have been stuck back a decade ago in 2011.</p>
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<h2>Thanks</h2>
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<p>What has happend and will happen is not without a lot effort, work and a dedication to making Mathics better. Special thanks to:</p>
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<h1>Thanks</h1>
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<p>What has happened and will happen is not without a lot effort, work and a dedication to making Mathics3 better. Special thanks to:</p>
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<ul>
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<li>Mauricio Matera — he knows the most about the current system, the Wolfram Language and Mathematica. He has written most of the new Built-in Functions too</li>
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