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MassiveAtoms 2020-05-11 22:25:33 -03:00
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"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"# Importing libs and setting some defaults like the plot size and forcing matplotlib to use seaborn color schemes with softer, more palatable colors " "# 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, "nbformat": 4,
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# Files and what they contain # Files and what they contain
# HTML export for those who don't have a data science stack + python installed
[graphs-big.pdf](./graphs-big.pdf) contains all the graphs used, but
in full size. We had to work with A4 limitations, and the graphs are pretty small.
Download the pdf like normally to get a bigger view
## results.csv ## results.csv
[Results.csv](./results.csv) has the raw data as outputed by the benchmark code [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 Last attempt has our last attempt at plotting, plus some random stuff at the end
# HTML export for those who don't have a data science stack + python installed
[graphs-big.pdf](./graphs-big.pdf)