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Christopher Doris
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README.md

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@@ -31,7 +31,7 @@ In this example, we use `PythonCall.jl` from an IJulia notebook to inspect the I
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In this example we use the Python module `juliacall` from an IPython notebook to train a simple neural network:
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- We generate some random training data using Python's `numpy`.
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- We construct and train a neural network model using Julia' `Flux`.
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- We construct and train a neural network model using Julia's `Flux`.
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- We plot some sample output from the model using Python's `matplotlib.pyplot`.
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![Flux example screenshot](https://raw.githubusercontent.com/cjdoris/PythonCall.jl/master/examples/flux.png)

docs/src/compat.md

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# Compatability Tools
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# Compatibility Tools
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Some packages require a little extra help to work nicely from `PythonCall.jl`.
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Some packages require a little extra help to work nicely with `PythonCall.jl`.
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Some of these are "fixes" that are silently applied for you, and some are just extra functions to bridge a gap. We aim to keep these as minimal as possible.
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