Streamline slides
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3 changed files with 406 additions and 86 deletions
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@ -1287,14 +1287,22 @@
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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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"From a theoretical point of view, the text representation provided by `.__repr__()` contains all the information (i.e., the $0$s and $1$s in memory) that is needed to model something in a computer. In a way, it is a natural extension from the binary (cf., [Chapter 5 <img height=\"12\" style=\"display: inline-block\" src=\"../static/link/to_nb.png\">](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/develop/05_numbers/00_content.ipynb#Binary-Representations)), hexadecimal (cf., [Chapter 5 <img height=\"12\" style=\"display: inline-block\" src=\"../static/link/to_nb.png\">](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/develop/05_numbers/00_content.ipynb#Hexadecimal-Representations)), and `bytes` (cf., [Chapter 6 <img height=\"12\" style=\"display: inline-block\" src=\"../static/link/to_nb.png\">](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/develop/06_text/02_content.ipynb#The-bytes-Type)) representations of information. After all, just like Unicode characters are encoded in `bytes`, the more \"complex\" objects in this chapter are encoded in Unicode characters via their text representations."
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]
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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": "slide"
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}
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},
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"source": [
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"### The `Matrix` Class"
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]
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