---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
-/tmp/ipykernel_1833/3066509368.py in <module>
+/tmp/ipykernel_1849/3066509368.py in <module>
1 from IPython.display import display, Image
----> 2 display(Image(filename="mathematica.png", width=250))
diff --git a/reports/notebook/images5ways.err.log b/reports/notebook/images5ways.err.log
index 5dae3c85..dce656ea 100644
--- a/reports/notebook/images5ways.err.log
+++ b/reports/notebook/images5ways.err.log
@@ -23,7 +23,7 @@ display(Image(filename="mathematica.png", width=250))
[0;31m---------------------------------------------------------------------------[0m
[0;31mFileNotFoundError[0m Traceback (most recent call last)
-[0;32m/tmp/ipykernel_1833/3066509368.py[0m in [0;36m[0;34m[0m
+[0;32m/tmp/ipykernel_1849/3066509368.py[0m in [0;36m[0;34m[0m
[1;32m 1[0m [0;32mfrom[0m [0mIPython[0m[0;34m.[0m[0mdisplay[0m [0;32mimport[0m [0mdisplay[0m[0;34m,[0m [0mImage[0m[0;34m[0m[0;34m[0m[0m
[0;32m----> 2[0;31m [0mdisplay[0m[0;34m([0m[0mImage[0m[0;34m([0m[0mfilename[0m[0;34m=[0m[0;34m"mathematica.png"[0m[0;34m,[0m [0mwidth[0m[0;34m=[0m[0;36m250[0m[0;34m)[0m[0;34m)[0m[0;34m[0m[0;34m[0m[0m
[0m
diff --git a/reports/workflow/calculate-compute-cost.err.log b/reports/workflow/calculate-compute-cost.err.log
index ee769cb8..8797ef95 100644
--- a/reports/workflow/calculate-compute-cost.err.log
+++ b/reports/workflow/calculate-compute-cost.err.log
@@ -129,7 +129,7 @@ display(final_layout)
[0;31m---------------------------------------------------------------------------[0m
[0;31mModuleNotFoundError[0m Traceback (most recent call last)
-[0;32m/tmp/ipykernel_1853/2300274380.py[0m in [0;36m[0;34m[0m
+[0;32m/tmp/ipykernel_1868/2300274380.py[0m in [0;36m[0;34m[0m
[0;32m----> 1[0;31m [0;32mimport[0m [0mipywidgets[0m [0;32mas[0m [0mwidgets[0m[0;34m[0m[0;34m[0m[0m
[0m[1;32m 2[0m [0;32mfrom[0m [0mIPython[0m[0;34m.[0m[0mdisplay[0m [0;32mimport[0m [0mdisplay[0m[0;34m[0m[0;34m[0m[0m
[1;32m 3[0m [0;32mfrom[0m [0mipywidgets[0m [0;32mimport[0m [0mLayout[0m[0;34m[0m[0;34m[0m[0m
diff --git a/searchindex.js b/searchindex.js
index 7b55ff55..aaf2d624 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/technology/jupyter/large-datasets.html b/technology/jupyter/large-datasets.html
index 36913cf8..2be4283c 100644
--- a/technology/jupyter/large-datasets.html
+++ b/technology/jupyter/large-datasets.html
@@ -399,9 +399,7 @@ Contents
Larger Datasets (tens of MBs to several GBs)
-- The Shared directory (Credits: 2i2c)
-- shared
-- shared-readwrite
+- Shared directory
@@ -426,32 +424,39 @@
Storing Datasets
GitHub
-Datasets and the corresponding Jupyter Notebook can be stored in a folder on GitHub. You can then create a nbgitpuller link for the entire folder. When students click this link, the entire folder will appear on their JupyterHub account.
+Datasets and the corresponding Jupyter Notebook can be stored in a folder on GitHub. You can then create a nbgitpuller link for the entire folder. When students click this link, the entire folder will appear on their DataHub account.
Direct Upload
-Students can directly upload data files to their JupyterHub account. This method can get messy if notebooks expect the data to be stored at a certain filepath and students upload the files to a different location. Therefore, we recommend using the other methods listed on this page.
+Students can directly upload data files to their DataHub account. This method can get messy if notebooks expect the data to be stored at a certain filepath and students upload the files to a different location. Therefore, we recommend using the other methods listed on this page.
Larger Datasets (tens of MBs to several GBs)
-Our current recommendation is to keep the file size of the datasets below 100 GB. We recommend the following approaches to all instructors/students who plan to use large datasets for their teaching/learning plans.
-
-The Shared directory (Credits: 2i2c)
-
-shared
-The shared folder allows read only access to the data stored for all users. You can read dataset from the shared folder while no write operations can be performed.
-Create a Github Issue if you want your data to be saved in shared folder on JupyterHub directly. Notebooks stored on JupyterHub will be able to access this data.
-
-
-shared-readwrite
-shared-readwrite directory is accessible only for administrators. This directory allows admins read and write access to the stored data. Any data stored in the shared-readwrite appears in the shared folder for all users.
-Instructors using Stat 159 and Biology hubs use the shared directories extensively.
-
+Our current recommendation is to keep the file size of the datasets below 100 MB. We recommend the following approaches to all instructors/students who plan to use large datasets for their teaching/learning plans.
+
+Shared directory
+In scenarios where you have large datasets or commonly used libraries, a shared directory can serve as a centralized location for these resources. This prevents the need for duplicating files across multiple user spaces, saving disk space and bandwidth.
+Shared Directory: The shared folder allows read only access to the students enrolled in your course. Students can read the dataset from the shared folder while no write operations can be performed. The shared directories will be mounted to /home/jovyan user path.
+
+
Note
+
By default, students cannot write to shared directories. While configuration can be modified to allow students to write to the shared directories, it is generally not recommended. Allowing write access to a shared directory can lead to students accidentally overwriting each other’s work, especially if they’re working simultaneously. Typically, instructors prefer that students save their work in their home directories and then upload the necessary files to a centralized drive or repository. Having said that, We can enable read access for students if you as an instructor is okay with the risks involved.
+
Shared-ReadWrite Directory As an instructor, you’ll have both read and write access to a “shared-readwrite” directory. You can upload datasets there, and they will automatically be updated in the “shared” directory, which is accessible to all students with read-only permissions.
+
+
Note
+
This setup streamlines the workflow: you upload datasets to the “shared-readwrite” directory, and students can immediately access them in the “shared” directory and read it.
+
Create a Github Issue if you want shared directories enabled for your course. You need to provide the bcourses id for your course and the DataHub URL so that the shared directories appear on the hub you use with appropriate permissions for the folks enrolled in your course roster in bcourses.
+Eg:compss-214a-readwrite and compss-214a are the shared-readwrite and shared directories for the COMPSS-214A course.
+
+
Note
+
Students enrolled in your previous offering lose access to the shared directories at the end of the semester
+
SyncThing
SyncThing is an application that allows users to share their files/folders with their collaborators through a dropox like functionality. You can store all your data in the SyncThing folder and share it with your collaborators. They can read data from the application into their Jupyter notebooks. Refer to this documentation that explains the approach to share files via SyncThing.
@@ -538,9 +543,7 @@ Outside HostsLarger Datasets (tens of MBs to several GBs)
-- The Shared directory (Credits: 2i2c)
-- shared
-- shared-readwrite
+- Shared directory
diff --git a/workflow/calculate-compute-cost.html b/workflow/calculate-compute-cost.html
index d0068d1c..06ab956e 100644
--- a/workflow/calculate-compute-cost.html
+++ b/workflow/calculate-compute-cost.html
@@ -554,7 +554,7 @@
Data 100 GCP cloud cost simulator widget
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
-/tmp/ipykernel_1853/2300274380.py in <module>
+/tmp/ipykernel_1868/2300274380.py in <module>
----> 1 import ipywidgets as widgets
2 from IPython.display import display
3 from ipywidgets import Layout