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Practicum AI: Python For AI (USDA-ARS Version)

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Most hands-on artificial intelligence work is currently done using the Python programming language. As such, some understanding of Python, in particular, and computer programming, in general, is needed to apply AI successfully. That said, it is truly astounding how complex AI research can be accomplished with a few lines of code!

The content in this workshop is aimed at beginning coders who may have never programmed before. As with the rest of the Practicum AI workshops, we use Jupyter Notebooks for the learning experience. Jupyter Notebooks are an easy-to-use, powerful tool that allows interactive coding and nicely formatted explanatory text. Much of exploratory AI research is conducted in Jupyter Notebooks, and it is easy to transfer code from Notebooks to scripts when it is time to scale up analyses.