From 08a5316289fae06476731ed919bc93b5a380775b Mon Sep 17 00:00:00 2001 From: ScriptSmith Date: Tue, 20 May 2025 10:33:28 +1000 Subject: [PATCH] Fix capitalisation of Dask and Jupyter --- README.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 4ce6967..2839364 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,7 @@ Using Dask in an interactive Jupyter notebook on QUT's Aqua, to run distributed See the [notebook](main.ipynb) -![Screenshot of the dask dashboard](assets/dashboard.png) +![Screenshot of the Dask dashboard](assets/dashboard.png) ![Screenshot of the notebook](assets/notebook.png) @@ -34,14 +34,14 @@ Get the name of the host running the interactive job (eg. `cpu1n001`): echo $HOSTNAME ``` -Change in to the directory containing this repository, and start the jupyter lab server: +Change in to the directory containing this repository, and start the Jupyter lab server: ```bash # cd ~/src/dasktest uv run jupyter lab --ip 0.0.0.0 ``` -In another terminal, port-forward the connection so that you can access the jupyter lab instance: +In another terminal, port-forward the connection so that you can access the Jupyter Lab instance: ```bash # replace cpu1n001 with the name of the host retrieved earlier @@ -56,7 +56,7 @@ Wait for the server to start, then click the link to access it in your browser: ... ``` -Open the `main.ipynb` notebook in jupyter lab +Open the `main.ipynb` notebook in Jupyter Lab ### Dask cluster @@ -65,11 +65,11 @@ Run the notebook from the beginning to do the following: 1. Create a Dask PBS cluster of 20, 20-min jobs with 4 CPUs and 1GB RAM 2. Perform work on the cluster interactively by running a Python function map-reduce style on a subset of data -Once the cluster and client have started, open another terminal instance and forward the port of the dask dashboard to see the work being performed, and the resource utilisation of each job +Once the cluster and client have started, open another terminal instance and forward the port of the Dask dashboard to see the work being performed, and the resource utilisation of each job ``` # replace cpu1n001 with the name of the host retrieved earlier -# replace 8787 with the port opened by the dask cluster client +# replace 8787 with the port opened by the Dask cluster client ssh -L 8787:cpu1n001:8787 aqua ```