show Jupyter before explaining it

Author: afeld

assignments.md

@@ -153,7 +153,7 @@ This error can happen if you tried to output a lot of data in tables/charts. Ste
 If you're confused by these instrucions, download the notebook file and [email to the instructor](syllabus.md#instructor-information).
 {%- endif %}
 
-### {{coding_env_kernel_name}} and memory issues
+### {{coding_env_kernel_name|title}} and memory issues
 
 The {{coding_env_kernel_name}} is [the place where Python is installed and the code is actually executing](https://docs.jupyter.org/en/stable/projects/kernels.html#kernels), in the cloud somewhere.
 

lecture_0.ipynb

@@ -546,81 +546,91 @@
   {
    "cell_type": "markdown",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "slide"
-    }
+    },
+    "tags": []
    },
    "source": [
     "## Jupyter\n",
     "\n",
-    "- Web based programming environment\n",
-    "- Supports Python by default, and other languages with plugins\n",
-    "- Nicely displays output of your code so you can check and share the results\n",
-    "- Avoids using the command line\n",
-    "- Avoids installation problems across different computers and operating systems"
+    "1. Go to [{{coding_env_name}}]({{coding_env_url}})\n",
+    "1. Create a notebook.{% if id == \"nyu\" %}\n",
+    "   1. Click `New`\n",
+    "   1. Click `Notebook`\n",
+    "   1. When it asks you to `Select Kernel`, choose `Python [conda env:python-public-policy]`\n",
+    "{%- endif %}\n",
+    "1. Paste in [the following example](https://plotly.com/python/linear-fits/#linear-fit-trendlines-with-plotly-express).\n",
+    "1. Press the ▶️ button (or `Control`+`Enter` on your keyboard).\n",
+    "\n",
+    "```python\n",
+    "import plotly.express as px\n",
+    "\n",
+    "df = px.data.tips()\n",
+    "fig = px.scatter(df, x=\"total_bill\", y=\"tip\", trendline=\"ols\")\n",
+    "fig.show()\n",
+    "```  "
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {
-    "tags": [
-     "nyu-only"
-    ]
+    "editable": true,
+    "slideshow": {
+     "slide_type": "subslide"
+    },
+    "tags": []
    },
    "source": [
-    "We're using [JupyterHub](https://jupyter.org/hub), [offered by NYU's High Performance Computing (HPC) group](https://sites.google.com/nyu.edu/nyu-hpc/training-support/resources-for-classes/jupyterhub)."
+    "FYI `px.data.tips()` loads one of [Plotly's sample datasets](https://plotly.com/python-api-reference/generated/plotly.express.data.html). You don't need that when plotting other datasets."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {
-    "tags": [
-     "columbia-only"
-    ]
+    "editable": true,
+    "slideshow": {
+     "slide_type": "subslide"
+    },
+    "tags": []
    },
    "source": [
-    "We're using a service called [{{coding_env_name}}]({{coding_env_url}}) for their Jupyter functionality."
+    "- Web based programming environment\n",
+    "- Supports Python by default, and other languages with plugins\n",
+    "- Nicely displays output of your code so you can check and share the results\n",
+    "- Avoids using the command line\n",
+    "- Avoids installation problems across different computers and operating systems"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {
+    "editable": true,
     "slideshow": {
-     "slide_type": "subslide"
-    }
+     "slide_type": ""
+    },
+    "tags": [
+     "nyu-only"
+    ]
    },
    "source": [
-    "### Command line vs. Jupyter\n",
-    "\n",
-    "![Command line vs. Jupyter output](extras/img/cli_vs_jupyter.png)"
+    "We're using [JupyterHub](https://jupyter.org/hub), [offered by NYU's High Performance Computing (HPC) group](https://sites.google.com/nyu.edu/nyu-hpc/training-support/resources-for-classes/jupyterhub)."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {
+    "editable": true,
     "slideshow": {
-     "slide_type": "subslide"
-    }
+     "slide_type": ""
+    },
+    "tags": [
+     "columbia-only"
+    ]
    },
    "source": [
-    "### Try it!\n",
-    "\n",
-    "1. Go to [{{coding_env_name}}]({{coding_env_url}})\n",
-    "1. Create a notebook{% if id == \"nyu\" %}\n",
-    "   1. Click `New`\n",
-    "   1. Click `Notebook`\n",
-    "   1. When it asks you to `Select Kernel`, choose `Python [conda env:python-public-policy]`\n",
-    "{%- endif %}\n",
-    "1. Paste in [the following example](https://plotly.com/python/linear-fits/#linear-fit-trendlines-with-plotly-express)\n",
-    "1. Press the ▶️ button (or `Control`+`Enter` on your keyboard)\n",
-    "\n",
-    "```python\n",
-    "import plotly.express as px\n",
-    "\n",
-    "df = px.data.tips()\n",
-    "fig = px.scatter(df, x=\"total_bill\", y=\"tip\", trendline=\"ols\")\n",
-    "fig.show()\n",
-    "```  "
+    "We're using a service called [{{coding_env_name}}]({{coding_env_url}}) for their Jupyter functionality."
    ]
   },
   {
@@ -631,7 +641,9 @@
     }
    },
    "source": [
-    "FYI `px.data.tips()` loads one of [Plotly's sample datasets](https://plotly.com/python-api-reference/generated/plotly.express.data.html). You don't need that when plotting other datasets."
+    "### Command line vs. Jupyter\n",
+    "\n",
+    "![Command line vs. Jupyter output](extras/img/cli_vs_jupyter.png)"
    ]
   },
   {
@@ -658,9 +670,11 @@
   {
    "cell_type": "markdown",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
-    }
+    },
+    "tags": []
    },
    "source": [
     "#### Running\n",
@@ -675,9 +689,11 @@
   {
    "cell_type": "markdown",
    "metadata": {
+    "editable": true,
     "slideshow": {
      "slide_type": "subslide"
-    }
+    },
+    "tags": []
    },
    "source": [
     "#### Output\n",
@@ -687,6 +703,35 @@
     "- Just because there's existing output from a cell, doesn't mean that cell has been run during this session"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": "subslide"
+    },
+    "tags": []
+   },
+   "source": [
+    "### [Opening a class notebook](https://python-public-policy.afeld.me/en/{{school_slug}}/assignments.html#getting-started)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": "subslide"
+    },
+    "tags": []
+   },
+   "source": [
+    "Can use for:\n",
+    "\n",
+    "- Playing with examples\n",
+    "- Taking notes"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {