Updating notebooks

01_query.ipynb

@@ -41,7 +41,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "[This article in *Science* magazine](https://www.sciencemag.org/news/2018/10/streams-stars-reveal-galaxy-s-violent-history-and-perhaps-its-unseen-dark-matter) explains some of the background, including the process that led to the paper and an discussion of the scientific implications:\n",
+    "[This article in *Science* magazine](https://www.sciencemag.org/news/2018/10/streams-stars-reveal-galaxy-s-violent-history-and-perhaps-its-unseen-dark-matter) explains some of the background, including the process that led to the paper and a discussion of the scientific implications:\n",
     "\n",
     "* \"The streams are particularly useful for ... galactic archaeology --- rewinding the cosmic clock to reconstruct the assembly of the Milky Way.\"\n",
     "\n",
@@ -112,7 +112,7 @@
    "source": [
     "## Query Language\n",
     "\n",
-    "In order to select data from a database, you have to compose a query, which is like a program written in a \"query language\".\n",
+    "In order to select data from a database, you have to compose a query, which is a program written in a \"query language\".\n",
     "The query language we'll use is ADQL, which stands for \"Astronomical Data Query Language\".\n",
     "\n",
     "ADQL is a dialect of [SQL](https://en.wikipedia.org/wiki/SQL) (Structured Query Language), which is by far the most commonly used query language.  Almost everything you will learn about ADQL also works in SQL.\n",
@@ -123,27 +123,25 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "remove-cell"
+    ]
+   },
    "source": [
     "## Installing libraries\n",
     "\n",
-    "The library we'll use to get Gaia data is [Astroquery](https://astroquery.readthedocs.io/en/latest/).\n",
-    "\n",
     "If you are running this notebook on Colab, you can run the following cell to install Astroquery and the other libraries we'll use.\n",
     "\n",
-    "If you are running this notebook on your own computer, you might have to install these libraries yourself.  \n",
-    "\n",
-    "If you are using this notebook as part of a Carpentries workshop, you should have received setup instructions.\n",
-    "\n",
-    "TODO: Add a link to the instructions.\n"
+    "If you are running this notebook on your own computer, you might have to install these libraries yourself.  See the instructions in the preface."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 8,
    "metadata": {
     "tags": [
-     "hide-cell"
+     "remove-cell"
     ]
    },
    "outputs": [],
@@ -163,6 +161,8 @@
    "source": [
     "## Connecting to Gaia\n",
     "\n",
+    "The library we'll use to get Gaia data is [Astroquery](https://astroquery.readthedocs.io/en/latest/).\n",
+    "\n",
     "Astroquery provides `Gaia`, which is an [object that represents a connection to the Gaia database](https://astroquery.readthedocs.io/en/latest/gaia/gaia.html).\n",
     "\n",
     "We can connect to the Gaia database like this:"
@@ -446,7 +446,11 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "hide-cell"
+    ]
+   },
    "outputs": [],
    "source": [
     "# Solution\n",
@@ -613,8 +617,10 @@
    "cell_type": "code",
    "execution_count": 8,
    "metadata": {
+    "scrolled": true,
     "tags": [
-     "remove-cell"
+     "hide-cell",
+     "remove-output"
     ]
    },
    "outputs": [
@@ -1672,6 +1678,7 @@
   }
  ],
  "metadata": {
+  "celltoolbar": "Tags",
   "kernelspec": {
    "display_name": "Python 3",
    "language": "python",

03_motion.ipynb

@@ -1739,7 +1739,11 @@
   {
    "cell_type": "code",
    "execution_count": 127,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "hide-cell"
+    ]
+   },
    "outputs": [],
    "source": [
     "# Solution\n",

04_select.ipynb

@@ -677,7 +677,11 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "hide-cell"
+    ]
+   },
    "outputs": [],
    "source": [
     "# Solution\n",
@@ -720,7 +724,11 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "hide-cell"
+    ]
+   },
    "outputs": [
     {
      "name": "stdout",

05_join.ipynb

@@ -939,7 +939,11 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "hide-cell"
+    ]
+   },
    "outputs": [],
    "source": [
     "# Solution\n",
@@ -1012,7 +1016,11 @@
   {
    "cell_type": "code",
    "execution_count": 26,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "hide-cell"
+    ]
+   },
    "outputs": [],
    "source": [
     "# Solution\n",
@@ -1025,7 +1033,11 @@
   {
    "cell_type": "code",
    "execution_count": 27,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "hide-cell"
+    ]
+   },
    "outputs": [],
    "source": [
     "# Solution\n",
@@ -1038,7 +1050,11 @@
   {
    "cell_type": "code",
    "execution_count": 28,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "hide-cell"
+    ]
+   },
    "outputs": [],
    "source": [
     "# Solution\n",
@@ -1053,7 +1069,11 @@
   {
    "cell_type": "code",
    "execution_count": 29,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "hide-cell"
+    ]
+   },
    "outputs": [],
    "source": [
     "# Solution\n",

07_plot.ipynb

@@ -239,7 +239,11 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "hide-cell"
+    ]
+   },
    "outputs": [],
    "source": [
     "# Solution\n",
@@ -298,7 +302,11 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "hide-cell"
+    ]
+   },
    "outputs": [],
    "source": [
     "# Solution\n",
@@ -978,7 +986,11 @@
   {
    "cell_type": "code",
    "execution_count": 28,
-   "metadata": {},
+   "metadata": {
+    "tags": [
+     "hide-cell"
+    ]
+   },
    "outputs": [],
    "source": [
     "# Solution\n",