[skip ci] docs build of 37d9155

Author: ci-doc-deploy-bot

_sources/content/mooreslaw-tutorial.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "a37738e4",
+   "id": "7ce57f44",
    "metadata": {},
    "source": [
     "# Pairing Jupyter notebooks and MyST-NB\n",
@@ -31,7 +31,7 @@
     "NumPy tutorials use\n",
     "[Jupytext](https://jupytext.readthedocs.io/en/latest/index.html) to\n",
     "convert your `.ipynb` file to [MyST\n",
-    "Markdown](https://github.com/mwouts/jupytext/blob/master/docs/formats.md#myst-markdown)\n",
+    "Markdown](https://jupytext.readthedocs.io/en/latest/formats-markdown.html)\n",
     "format.\n",
     "\n",
     "Jupyter notebooks are stored on your disk in a\n",
@@ -76,7 +76,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "ea0f1325",
+   "id": "8642e7dc",
    "metadata": {},
    "outputs": [
     {
@@ -94,7 +94,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bedf60df",
+   "id": "bf79a970",
    "metadata": {},
    "source": [
     "---\n",

_sources/content/pairing.ipynb

@@ -38,7 +38,7 @@ keep your `.ipynb` in sync with the content on NumPy tutorials. The
 NumPy tutorials use
 [Jupytext](https://jupytext.readthedocs.io/en/latest/index.html) to
 convert your `.ipynb` file to [MyST
-Markdown](https://github.com/mwouts/jupytext/blob/master/docs/formats.md#myst-markdown)
+Markdown](https://jupytext.readthedocs.io/en/latest/formats-markdown.html)
 format.
 
 Jupyter notebooks are stored on your disk in a

_sources/content/pairing.md

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "819fad45",
+   "id": "2edabd4b",
    "metadata": {},
    "source": [
     "# Saving and sharing your NumPy arrays\n",
@@ -37,7 +37,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "b01d8cbd",
+   "id": "42d2f8cc",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -46,7 +46,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "edb72ad9",
+   "id": "4c09ff3b",
    "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": "c10c8bd1",
+   "id": "ac4d6198",
    "metadata": {},
    "source": [
     "---\n",
@@ -81,7 +81,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "fc41f2d9",
+   "id": "af807520",
    "metadata": {},
    "outputs": [
     {
@@ -102,7 +102,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bfb234df",
+   "id": "5601f9c3",
    "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": "df0fb451",
+   "id": "3ae7e6ec",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -134,7 +134,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "465ae85a",
+   "id": "b73e3d00",
    "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": "3f216a58",
+   "id": "b8219c12",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -169,7 +169,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "9b1a183b",
+   "id": "9091ebb3",
    "metadata": {},
    "outputs": [
     {
@@ -189,7 +189,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "1f846a08",
+   "id": "70d2a7a2",
    "metadata": {},
    "outputs": [
     {
@@ -209,7 +209,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "507680a6",
+   "id": "8ba998ea",
    "metadata": {},
    "outputs": [
     {
@@ -229,7 +229,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "05ee9b56",
+   "id": "d05f1824",
    "metadata": {},
    "source": [
     "## Reassign the NpzFile arrays to `x` and `y`\n",
@@ -242,7 +242,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "fa5d6dfd",
+   "id": "bd09687a",
    "metadata": {},
    "outputs": [
     {
@@ -263,7 +263,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fcf4aa43",
+   "id": "702aa732",
    "metadata": {},
    "source": [
     "## Success\n",
@@ -294,7 +294,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "05c6c42c",
+   "id": "90390721",
    "metadata": {},
    "outputs": [
     {
@@ -323,7 +323,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "796ff45b",
+   "id": "d7f69c6e",
    "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": "f71ef542",
+   "id": "163c75df",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -347,7 +347,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0fe7ac45",
+   "id": "a53a1c33",
    "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": "42e089f9",
+   "id": "c28a3a50",
    "metadata": {},
    "outputs": [
     {
@@ -382,7 +382,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "51e8004b",
+   "id": "dba8ce32",
    "metadata": {},
    "source": [
     "## Our arrays as a csv file\n",
@@ -406,7 +406,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "fe49b86c",
+   "id": "6cd945fc",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -416,7 +416,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "ef66b772",
+   "id": "828b0fd9",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -426,7 +426,7 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "3e3ef62f",
+   "id": "2bbcff20",
    "metadata": {},
    "outputs": [
     {
@@ -447,7 +447,7 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "c0043dd5",
+   "id": "1778d7de",
    "metadata": {},
    "outputs": [
     {
@@ -468,7 +468,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "29b36421",
+   "id": "9d56c532",
    "metadata": {},
    "source": [
     "## Success, but remember your types\n",
@@ -479,7 +479,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f67cceb0",
+   "id": "de417e60",
    "metadata": {},
    "source": [
     "## Wrapping up\n",