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Pyrcz, Michael J. (2021). DataScienceInteractivePythons: Educational Data Science Interactive Python Dashboards Repository (0.0.1). Zenodo. https://doi.org/10.5281/zenodo.5564966
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***
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[![DOI](https://zenodo.org/badge/106843586.svg)](https://zenodo.org/doi/10.5281/zenodo.5564966)
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***
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[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/GeostatsGuy/DataScience_Interactive_Python/HEAD)
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#### Binder
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To further support my students, I'm using [Binder](https://mybinder.readthedocs.io/en/latest/index.html) to host some of my **interactive Python spatial data analytics, geostatistics and machine learning demonstration workflows** online. Some of my students are having issues with setting up their local computing environments and instantiating the interactive workflows.
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* I hope this will assist these students and remove barriers for these educational tools to invite a wider audience that may benefit from experiential learning - playing with the systems and machines in real-time.
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[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/GeostatsGuy/DataScience_Interactive_Python/HEAD)
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Click on the link above to launch binder with container to run the included workflow.
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#### Setup
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A minimum environment is set set up with:
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* Python 3.7.10 - due to the depdendency of GeostatsPy on the Numba package for code acceleration
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The required datasets are available in the [GeoDataSets](https://github.com/GeostatsGuy/GeoDataSets) repository and linked in the workflows
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#### Repository Summary
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The interative Python examples include a variety of topics like:
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* Bayesian and frequentist statistics

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