diff --git a/docs/dask_jupyterlab_extension_demo.ipynb b/docs/dask_jupyterlab_extension_demo.ipynb
index 1befe51..7b770d0 100644
--- a/docs/dask_jupyterlab_extension_demo.ipynb
+++ b/docs/dask_jupyterlab_extension_demo.ipynb
@@ -1,13 +1,27 @@
{
"cells": [
{
- "cell_type": "code",
- "execution_count": null,
+ "cell_type": "markdown",
"metadata": {},
- "outputs": [],
"source": [
"## basic Dask_jupyerlab extension demo\n",
- "see https://www.youtube.com/watch?feature=player_embedded&v=EX_voquHdk0"
+ "see https://www.youtube.com/watch?feature=player_embedded&v=EX_voquHdk0\n",
+ "\n",
+ "If not working, see the how-to: https://github.com/dask/dask-labextension\n",
+ "\n",
+ "You may have, if not working, to re-run;\n",
+ "\n",
+ "
jupyter serverextension enable dask_labextension
\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Step 1: launch a Client\n",
+ "\n",
+ "- warning; Dask-Jupyterlab doesn't work for Python-3.9.1, even with Distributed-2020.12.0\n",
+ "- check here for progress on the issue: https://github.com/dask/distributed/issues/4168)"
]
},
{
@@ -23,7 +37,7 @@
"\n",
"Client\n",
"\n",
" | \n",
@@ -39,7 +53,7 @@
""
],
"text/plain": [
- ""
+ ""
]
},
"execution_count": 1,
@@ -53,9 +67,22 @@
"client"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## step2 \n",
+ "- click on the DASK Extension (the red pictures) on the left left pannel\n",
+ "- copy the Dashoard url (in blue in the cell above this one) in the DASK DASHBOARD URL ot the Dask Extension panel that appears\n",
+ "- click on the refresh circualr arrow on the left of the bottom CLUSTERS line of the Dask Extension panel\n",
+ "- .... this make the buttons of the DASK extension to go from GREY to ORANGE\n",
+ "- .....clicking on each of them open a dedicated pan with related information: for example \"GRAPH\"\n",
+ "- ..... with jupyterlan you can show it side-to-side with current notebook by moving tabs\n"
+ ]
+ },
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 2,
"metadata": {},
"outputs": [
{
@@ -118,7 +145,7 @@
" \n",
"\n",
" \n",
- " \n",
+ " \n",
"\n",
" \n",
" 20000\n",
@@ -132,7 +159,7 @@
"dask.array"
]
},
- "execution_count": 4,
+ "execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
@@ -146,16 +173,16 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "199998586.85963023"
+ "199999688.8147819"
]
},
- "execution_count": 6,
+ "execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
@@ -189,7 +216,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.8.5"
+ "version": "3.8.7rc1"
}
},
"nbformat": 4,