[skip ci] docs build of a6afd8d

Author: ci-doc-deploy-bot

_images/774c0c53a1edfeb533e6940c2abf97431945fef9b1c9abb03b5e3f284205fc1b.png

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "0b3dee16",
+   "id": "1b8ba7b5",
    "metadata": {},
    "source": [
     "# Pairing Jupyter notebooks and MyST-NB\n",
@@ -76,7 +76,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "4add3eed",
+   "id": "dedd373f",
    "metadata": {},
    "outputs": [
     {
@@ -94,7 +94,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b0ef941e",
+   "id": "dd88ff99",
    "metadata": {},
    "source": [
     "---\n",

_images/ebd2ae94d8d5dfb90da758ca431e4ef320d7e07bc55d97a85c3ee10d91b96921.png

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "896aa5da",
+   "id": "08d25bc4",
    "metadata": {},
    "source": [
     "# Saving and sharing your NumPy arrays\n",
@@ -37,7 +37,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "19e14d66",
+   "id": "539560d8",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -46,7 +46,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "27fdb3b6",
+   "id": "9fa2bd31",
    "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": "3549bf9e",
+   "id": "2b73d4de",
    "metadata": {},
    "source": [
     "---\n",
@@ -81,7 +81,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "e7637a07",
+   "id": "8c64a13f",
    "metadata": {},
    "outputs": [
     {
@@ -102,7 +102,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "757ff679",
+   "id": "df92b324",
    "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": "c7e877ff",
+   "id": "94e29d9c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -134,7 +134,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b635f3c5",
+   "id": "3ce05075",
    "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": "2730d1a9",
+   "id": "3c250ec2",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -169,7 +169,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "d14838f5",
+   "id": "617ca504",
    "metadata": {},
    "outputs": [
     {
@@ -189,7 +189,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "9b87644b",
+   "id": "d63fd187",
    "metadata": {},
    "outputs": [
     {
@@ -209,7 +209,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "8c6f2560",
+   "id": "964048b7",
    "metadata": {},
    "outputs": [
     {
@@ -224,12 +224,12 @@
     }
    ],
    "source": [
-    "whos"
+    "%whos"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "555b10eb",
+   "id": "f3d52251",
    "metadata": {},
    "source": [
     "## Reassign the NpzFile arrays to `x` and `y`\n",
@@ -242,7 +242,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "f31df649",
+   "id": "2c525ad1",
    "metadata": {},
    "outputs": [
     {
@@ -263,7 +263,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f7549957",
+   "id": "a0134b8a",
    "metadata": {},
    "source": [
     "## Success\n",
@@ -294,7 +294,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "69cb2a08",
+   "id": "aaeec3f3",
    "metadata": {},
    "outputs": [
     {
@@ -323,7 +323,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e264d250",
+   "id": "d411f283",
    "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": "e8da8648",
+   "id": "d3acf89d",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -347,7 +347,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9d53ede6",
+   "id": "274fcaf0",
    "metadata": {},
    "source": [
     "Open the file, `x_y-squared.csv`, and you'll see the following:\n",
@@ -387,7 +387,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "3a8878c2",
+   "id": "07fcb9c3",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -397,7 +397,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "b4b71d87",
+   "id": "c3aaceac",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -407,7 +407,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "8cb66d94",
+   "id": "d0bd177e",
    "metadata": {},
    "outputs": [
     {
@@ -428,7 +428,7 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "12171f4d",
+   "id": "50ae6d0f",
    "metadata": {},
    "outputs": [
     {
@@ -449,7 +449,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c364bceb",
+   "id": "e1dbb437",
    "metadata": {},
    "source": [
     "## Success, but remember your types\n",
@@ -460,7 +460,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ba80dfca",
+   "id": "b478e283",
    "metadata": {},
    "source": [
     "## Wrapping up\n",

_sources/content/mooreslaw-tutorial.ipynb

@@ -127,7 +127,7 @@ print(load_xy.files)
 ```
 
 ```{code-cell}
-whos
+%whos
 ```
 
 ## Reassign the NpzFile arrays to `x` and `y`