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"cell_type": "markdown",
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"cell_type": "markdown",
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"metadata": {},
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"metadata": {},
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"source": [
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"source": [
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"# Importing libs and setting some defaults like the plot size and forcing matplotlib to use seaborn color schemes with softer, more palatable colors "
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"# Importing libs and setting some defaults like the plot size and forcing matplotlib to use seaborn color schemes with softer, more palatable colors and setting a good font scale"
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"nbformat": 4,
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readme.md
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# Files and what they contain
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# Files and what they contain
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# HTML export for those who don't have a data science stack + python installed
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[graphs-big.pdf](./graphs-big.pdf) contains all the graphs used, but
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in full size. We had to work with A4 limitations, and the graphs are pretty small.
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Download the pdf like normally to get a bigger view
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## results.csv
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## results.csv
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[Results.csv](./results.csv) has the raw data as outputed by the benchmark code
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[Results.csv](./results.csv) has the raw data as outputed by the benchmark code
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Last attempt has our last attempt at plotting, plus some random stuff at the end
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Last attempt has our last attempt at plotting, plus some random stuff at the end
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# HTML export for those who don't have a data science stack + python installed
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[graphs-big.pdf](./graphs-big.pdf)
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