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[skip ci] docs build of 15d643d 
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‎_sources/content/cs231_tutorial.ipynb

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‎_sources/content/mooreslaw-tutorial.ipynb

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‎_sources/content/save-load-arrays.ipynb

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"cells": [
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{
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"cell_type": "markdown",
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"id": "removable-requirement",
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"id": "partial-senate",
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"metadata": {},
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"source": [
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"# Saving and sharing your NumPy arrays\n",
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "chicken-australian",
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"id": "guilty-portal",
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "markdown",
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"id": "limited-astrology",
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"id": "reasonable-serbia",
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"metadata": {},
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"source": [
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"In this tutorial, you will use the following Python, IPython magic, and NumPy functions:\n",
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},
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{
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"cell_type": "markdown",
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"id": "loose-revolution",
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"id": "stable-hotel",
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"metadata": {},
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"source": [
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"---\n",
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "functional-training",
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"id": "russian-contributor",
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"metadata": {},
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"outputs": [
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{
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},
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{
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"cell_type": "markdown",
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"id": "ancient-submission",
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"id": "following-starter",
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"metadata": {},
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"source": [
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"## Save your arrays with NumPy's [`savez`](https://numpy.org/doc/stable/reference/generated/numpy.savez.html?highlight=savez#numpy.savez)\n",
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "allied-district",
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"id": "laughing-contest",
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},
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"cell_type": "markdown",
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"id": "weekly-climate",
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"source": [
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"## Remove the saved arrays and load them back with NumPy's [`load`](https://numpy.org/doc/stable/reference/generated/numpy.load.html#numpy.load)\n",
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"cell_type": "code",
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"execution_count": 4,
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"id": "center-climate",
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"id": "frozen-superintendent",
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{
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"cell_type": "code",
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"id": "friendly-newton",
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"id": "minor-roots",
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{
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{
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"id": "small-mandate",
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"id": "responsible-steps",
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{
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "lyric-indianapolis",
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"id": "gorgeous-skating",
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{
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"text": [
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"Variable Type Data/Info\n",
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"-------------------------------\n",
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"load_xy NpzFile <numpy.lib.npyio.NpzFile <...>object at 0x7f7e58e6fee0>\n",
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"load_xy NpzFile <numpy.lib.npyio.NpzFile <...>object at 0x7fb183f7b970>\n",
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"np module <module 'numpy' from '/ho<...>kages/numpy/__init__.py'>\n"
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]
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}
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},
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"cell_type": "markdown",
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"id": "considered-battlefield",
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"## Reassign the NpzFile arrays to `x` and `y`\n",
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{
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"cell_type": "code",
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"id": "patient-cooperation",
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"id": "experienced-granny",
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},
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"cell_type": "markdown",
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"id": "outstanding-jones",
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"metadata": {},
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"## Success\n",
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{
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"cell_type": "code",
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"execution_count": 9,
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"id": "solved-cisco",
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"id": "portuguese-panel",
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"metadata": {},
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{
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"cell_type": "markdown",
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"id": "meaning-blues",
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"metadata": {},
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"## Save the data to csv file using [`savetxt`](https://numpy.org/doc/stable/reference/generated/numpy.savetxt.html#numpy.savetxt)\n",
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{
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"cell_type": "code",
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"id": "photographic-flavor",
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"id": "still-entrepreneur",
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"cell_type": "markdown",
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"id": "entertaining-industry",
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"Open the file, `x_y-squared.csv`, and you'll see the following:\n",
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"id": "amended-cincinnati",
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"id": "mathematical-destruction",
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"cell_type": "code",
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"id": "thrown-credits",
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"id": "union-disorder",
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"id": "invalid-witness",
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"id": "fitted-clark",
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"cell_type": "code",
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"id": "difficult-thunder",
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"id": "electronic-wedding",
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{
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"cell_type": "markdown",
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"id": "pleased-career",
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"## Success, but remember your types\n",
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"cell_type": "markdown",
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"id": "affected-reward",
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"id": "ongoing-electron",
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"metadata": {},
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"## Wrapping up\n",

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