[skip ci] docs build of 21c035f

numpy · Sep 3, 2024 · 18e0bda · 18e0bda
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diff --git a/_sources/content/mooreslaw-tutorial.ipynb b/_sources/content/mooreslaw-tutorial.ipynb
diff --git a/_sources/content/pairing.ipynb b/_sources/content/pairing.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "372cf578",
+   "id": "fb10471d",
    "metadata": {},
    "source": [
     "# Pairing Jupyter notebooks and MyST-NB\n",
@@ -76,7 +76,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "de960c11",
+   "id": "bd30a55e",
    "metadata": {},
    "outputs": [
     {
@@ -94,7 +94,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "25d85096",
+   "id": "af507c62",
    "metadata": {},
    "source": [
     "---\n",

diff --git a/_sources/content/save-load-arrays.ipynb b/_sources/content/save-load-arrays.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "99c15b93",
+   "id": "79b8f035",
    "metadata": {},
    "source": [
     "# Saving and sharing your NumPy arrays\n",
@@ -37,7 +37,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "b741abc9",
+   "id": "9aa74b2a",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -46,7 +46,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bfe65627",
+   "id": "af3d0d79",
    "metadata": {},
    "source": [
     "In this tutorial, you will use the following Python, IPython magic, and NumPy functions:\n",
@@ -64,7 +64,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7157d15b",
+   "id": "a08ee699",
    "metadata": {},
    "source": [
     "---\n",
@@ -81,7 +81,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "beef9783",
+   "id": "bbf2c4ed",
    "metadata": {},
    "outputs": [
     {
@@ -102,7 +102,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "45318e18",
+   "id": "82dfb0d8",
    "metadata": {},
    "source": [
     "## Save your arrays with NumPy's [`savez`](https://numpy.org/doc/stable/reference/generated/numpy.savez.html?highlight=savez#numpy.savez)\n",
@@ -125,7 +125,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "b4c262fa",
+   "id": "7d11aa4c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -134,7 +134,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0444cc37",
+   "id": "971b6b0e",
    "metadata": {},
    "source": [
     "## 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",
@@ -159,7 +159,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "db7504eb",
+   "id": "f54dd23c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -169,7 +169,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "0c983581",
+   "id": "e0ddd218",
    "metadata": {},
    "outputs": [
     {
@@ -189,7 +189,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "79fcc053",
+   "id": "ea6eac61",
    "metadata": {},
    "outputs": [
     {
@@ -209,7 +209,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "81902b30",
+   "id": "1100f2dd",
    "metadata": {},
    "outputs": [
     {
@@ -229,7 +229,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c75c943a",
+   "id": "c3910f86",
    "metadata": {},
    "source": [
     "## Reassign the NpzFile arrays to `x` and `y`\n",
@@ -242,7 +242,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "a6dbd7ab",
+   "id": "3677fc2b",
    "metadata": {},
    "outputs": [
     {
@@ -263,7 +263,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "91db4dd0",
+   "id": "4205da38",
    "metadata": {},
    "source": [
     "## Success\n",
@@ -294,7 +294,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "bb7797eb",
+   "id": "66cfc051",
    "metadata": {},
    "outputs": [
     {
@@ -323,7 +323,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e209be42",
+   "id": "fa474bba",
    "metadata": {},
    "source": [
     "## Save the data to csv file using [`savetxt`](https://numpy.org/doc/stable/reference/generated/numpy.savetxt.html#numpy.savetxt)\n",
@@ -338,7 +338,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "3aa4f6e5",
+   "id": "6c147e81",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -347,7 +347,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3a966fb7",
+   "id": "1cdb0c5a",
    "metadata": {},
    "source": [
     "Open the file, `x_y-squared.csv`, and you'll see the following:"
@@ -356,7 +356,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "e92ac632",
+   "id": "6c380389",
    "metadata": {},
    "outputs": [
     {
@@ -382,7 +382,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0e17c00d",
+   "id": "d255c463",
    "metadata": {},
    "source": [
     "## Our arrays as a csv file\n",
@@ -406,7 +406,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "520dbfbf",
+   "id": "db036d03",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -416,7 +416,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "8a8316fc",
+   "id": "087e4c7e",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -426,7 +426,7 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "c60ef730",
+   "id": "3e2367b5",
    "metadata": {},
    "outputs": [
     {
@@ -447,7 +447,7 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "9482028f",
+   "id": "c2609c1d",
    "metadata": {},
    "outputs": [
     {
@@ -468,7 +468,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2d1ffab7",
+   "id": "26c3592c",
    "metadata": {},
    "source": [
     "## Success, but remember your types\n",
@@ -479,7 +479,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "56e06aec",
+   "id": "7b0f7f4a",
    "metadata": {},
    "source": [
     "## Wrapping up\n",