From 5fbdc9f23e730056ef6663d556145c5303d1bb1c Mon Sep 17 00:00:00 2001
From: Tina Odaka <46813815+tinaok@users.noreply.github.com>
Date: Tue, 31 Oct 2023 19:44:22 +0100
Subject: [PATCH 1/2] Update scaling_dask.ipynb
---
tutorial/part3/scaling_dask.ipynb | 8 ++++----
1 file changed, 4 insertions(+), 4 deletions(-)
diff --git a/tutorial/part3/scaling_dask.ipynb b/tutorial/part3/scaling_dask.ipynb
index f9943d0..0ffbfb2 100755
--- a/tutorial/part3/scaling_dask.ipynb
+++ b/tutorial/part3/scaling_dask.ipynb
@@ -272,11 +272,11 @@
"you will just need too look at the html link you have for your jupyterlab, and Dask dashboard port number, as highlighted in the figure below.\n",
"\n",
"\n",
- "\n",
- "\n",
+ "\n",
+ "\n",
"\n",
"Then click the orange icon indicated in the above figure, and type 'your' dashboard link (normally, you just need to replace 'todaka' to 'your username'). \n",
- "\n",
+ "\n",
"\n",
"\n",
"\n",
@@ -285,7 +285,7 @@
"You can click several buttons indicated with blue arrows in above figures, then drag and drop to place them as your convenience. \n",
"\n",
"\n",
- "\n",
+ "\n",
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"\n",
"It's really helpfull to understand your computation and how it is distributed."
From bef4b174b6a2289c9450ec23d3e0ba14105b24e3 Mon Sep 17 00:00:00 2001
From: Tina Odaka <46813815+tinaok@users.noreply.github.com>
Date: Tue, 31 Oct 2023 19:45:30 +0100
Subject: [PATCH 2/2] Update chunking_introduction.ipynb
---
tutorial/part3/chunking_introduction.ipynb | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/tutorial/part3/chunking_introduction.ipynb b/tutorial/part3/chunking_introduction.ipynb
index ce0c755..5e283d1 100755
--- a/tutorial/part3/chunking_introduction.ipynb
+++ b/tutorial/part3/chunking_introduction.ipynb
@@ -187,15 +187,15 @@
"__Chunking__ is splitting a dataset into small pieces. \n",
"\n",
"Original dataset, in one piece, \n",
- "\n",
+ "\n",
"\n",
"and we split it into several smaller pieces. \n",
- "\n",
+ "\n",
"\n",
"We split it into pieces so that we can process our data block by block or __chunk__ by __chunk__.\n",
"\n",
"In our case, for the moment, we used stackstac without specifying 'chunk' explicitly. The dataset is composed of 8MiB each, each contains, 1 time step, 1 band, 1024 x 1024 on x and y direction. \n",
- "\n",
+ "\n",
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"If we have too small chunk size, we will divide our work flow in too small pieces, which can create too many communications, too many 'distirbution' overheads. \n",