Streamline slides
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2 changed files with 10 additions and 2 deletions
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@ -1180,7 +1180,11 @@
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{
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"cell_type": "code",
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"execution_count": 35,
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"metadata": {},
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"metadata": {
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"slideshow": {
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"slide_type": "skip"
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}
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},
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"outputs": [],
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"source": [
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"from fractions import Fraction"
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@ -24,7 +24,11 @@
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"metadata": {
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"slideshow": {
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"slide_type": "skip"
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}
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},
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"source": [
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"In this appendix, we look at the `Decimal` and `Fraction` types that can be used as replacements for the built-in `float` type mitigating its imprecision. The content is put in an appendix as the data science practitioner can live without knowing about it for quite some time. Eventually, when working with financial data, for example, knowing how to not use the `float` type in a bad way pays off."
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]
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