From 5dd0055ba331fa22cac0fc478f3502f7c09ca9c0 Mon Sep 17 00:00:00 2001 From: Wendy V Gaultier Date: Fri, 13 Oct 2023 13:37:08 +0000 Subject: [PATCH 1/5] Experiments Section --- docs/en/1-Experiments/Jupyter.md | 6 +++--- docs/en/1-Experiments/Remote-Desktop.md | 4 ++-- docs/en/1-Experiments/Selecting-an-Image.md | 6 +++--- docs/en/images/RStudioOption.PNG | Bin 43230 -> 45258 bytes docs/en/images/RemoteDesktop.PNG | Bin 48481 -> 45349 bytes 5 files changed, 8 insertions(+), 8 deletions(-) diff --git a/docs/en/1-Experiments/Jupyter.md b/docs/en/1-Experiments/Jupyter.md index 3c698d181..3d49db6cf 100644 --- a/docs/en/1-Experiments/Jupyter.md +++ b/docs/en/1-Experiments/Jupyter.md @@ -20,7 +20,7 @@ Jupyter comes with a number of features (and we can add more) [![Explore your data](../images/ExploreData.PNG)](../../2-Publishing/Datasette/) -Use **[Datasette](~../2-Publishing/Datasette.md/)** , an instant JSON API for your SQLite databases. Run SQL queries in a more interactive way! +Use **[Datasette](../../2-Publishing/Datasette.md/)** , an instant JSON API for your SQLite databases. Run SQL queries in a more interactive way! ### IDE in the browser @@ -78,9 +78,9 @@ You can upload and download data to/from JupyterHub directly in the menu. There ### Shareable "Bucket" storage -There is also a mounted `buckets` folder in your home directory, which holds files in [MinIO](../Storage.md/#buckets-via-minio). +There is also a mounted `buckets` folder in your home directory, which holds files in [Azure Blob Storage](../../5-Storage/AzureBlobStorage). -**Refer to the [Storage](../index.md#storage) section for details.** +**Refer to the [Storage](../../5-Storage/Overview) section for details.** ## Data Analysis diff --git a/docs/en/1-Experiments/Remote-Desktop.md b/docs/en/1-Experiments/Remote-Desktop.md index 1ba8e48be..52ff57808 100644 --- a/docs/en/1-Experiments/Remote-Desktop.md +++ b/docs/en/1-Experiments/Remote-Desktop.md @@ -14,7 +14,7 @@ The Ubuntu Virtual Desktop is a powerful tool for data scientists and machine le Remote Desktop provides an in-browser GUI Ubuntu desktop experience as well as quick access to supporting tools. The operating system is -[**Ubuntu**](https://ubuntu.com/about) **18.04** with the +[**Ubuntu**](https://ubuntu.com/about) **22.04** with the [**XFCE**](https://www.xfce.org/about) desktop environment. ![Remote Desktop](../images/rd_desktop.png) @@ -32,7 +32,7 @@ _pip_, _conda_, _npm_ and _yarn_ are available to install various packages. ## Accessing the Remote Desktop To launch the Remote Desktop or any of its supporting tools, create a Notebook -Server in [Kubeflow](./Kubeflow.md) and select the remote desktop option. +Server in [Kubeflow](./Kubeflow.md) and select the remote desktop option, which is the Ubuntu image. ![Remote Desktop](../images/RemoteDesktop.PNG) diff --git a/docs/en/1-Experiments/Selecting-an-Image.md b/docs/en/1-Experiments/Selecting-an-Image.md index adfb22863..8157806ab 100644 --- a/docs/en/1-Experiments/Selecting-an-Image.md +++ b/docs/en/1-Experiments/Selecting-an-Image.md @@ -8,7 +8,7 @@ When selecting an image, you have 3 main options: - Jupyter Notebook (CPU, TensorFlow, PyTorch) - RStudio -- Remote Desktop (r, geomatics) +- Remote Desktop ## Jupyter Notebooks @@ -48,7 +48,7 @@ experience. ## RStudio -**[RStudio](RStudio/)** gives you an integrated development environment +**[RStudio](../RStudio/)** gives you an integrated development environment specifically for `R`. If you're coding in `R`, this is typically the Notebook Server to use. Use the `rstudio` image to get an RStudio environment. @@ -59,7 +59,7 @@ Server to use. Use the `rstudio` image to get an RStudio environment. For a full Ubuntu desktop experience, use the remote desktop image. 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zM!<05v(w;ofB-^n4}KhgeSQi~kz`BxGsRT)oHAgIA5K<$GO#M$^f82$OPD_q z1=tLqX^(dPxk1RG_ltr$MAz(%Z@riXA4E92soC@c;E0l^PeBLem9hxl!ZqM)mrUdU zEOJJ3IVWa-j&u_aT%{I}Y0$;yqQ)hI0kJOa@_X-UPe03=6EQspxMB@<0h=i^#ZVuj zFar@HKpaHg4C?cjm%IbNkG3>xr^9v=OrUrgVpqu%gJ(kb6M|?7D{0^Towh;w3r`7w z^ct&tdQh2WOHayGlRTn}-XR*7k>CHYN{(EP0nrFG614!*pb!cDJa6!-)@jEB$5KBu zg6H@FGA5^g>1MfVap|1MrpJC+Z$OlYaV#`U$v;#Ay9V7U`~Pm_`a_@?B*atz$i&PT zz@D(OhGD`yVkpYu2CCe~!^$eaZ?(NLJlvC})@~1h;T)bihNVcg8vwMM^S_fDnc!A7 zQfwo?a|<|v869~YCm*VqfO%H;-+8tb{1$f}`L2zb0Ro-x8WIfM=i9Ef$+cDf)}*W9 zB4WV%n#90F`M>cGf51HW-8-c`j)?i~CjJm`p;cMs3Up*auiOj(fY3kN{}*QI|9Z3i z-_WoBKl+HRBLb>jn~qM9?!{i{R#=u|;PZ2IbWy@ZbaZs{9TMQLO2tV!y6X|e4F9L6 cyS}Nfam From afc97dcb4d3f87f02ed009ddb0866358b0afcb21 Mon Sep 17 00:00:00 2001 From: Wendy V Gaultier Date: Fri, 13 Oct 2023 15:22:59 +0000 Subject: [PATCH 2/5] Publishing Section --- docs/en/2-Publishing/Accessing-Published-Content.md | 0 docs/en/2-Publishing/Custom.md | 4 +--- docs/en/2-Publishing/Dash.md | 2 +- docs/en/2-Publishing/Datasette.md | 3 ++- docs/en/2-Publishing/PowerBI.md | 2 +- docs/en/2-Publishing/R-Shiny.md | 4 ++-- docs/en/3-Pipelines/Argo.md | 8 -------- 7 files changed, 7 insertions(+), 16 deletions(-) delete mode 100644 docs/en/2-Publishing/Accessing-Published-Content.md diff --git a/docs/en/2-Publishing/Accessing-Published-Content.md b/docs/en/2-Publishing/Accessing-Published-Content.md deleted file mode 100644 index e69de29bb..000000000 diff --git a/docs/en/2-Publishing/Custom.md b/docs/en/2-Publishing/Custom.md index 326bee7d4..660f932ad 100644 --- a/docs/en/2-Publishing/Custom.md +++ b/docs/en/2-Publishing/Custom.md @@ -9,9 +9,7 @@ container. For instance, Node.js apps, Flask or Dash apps. Etc. !!! info "See the source code for this app" - We just push these kinds of applications through GitHub into the server. The - source for the above app is - [`StatCan/covid19`](https://github.com/StatCan/covid19) + We just push these kinds of applications through GitHub into the server. # Setup diff --git a/docs/en/2-Publishing/Dash.md b/docs/en/2-Publishing/Dash.md index 882672741..d7bf57c46 100644 --- a/docs/en/2-Publishing/Dash.md +++ b/docs/en/2-Publishing/Dash.md @@ -31,7 +31,7 @@ This is an example of a Layout With Figure and Slider from _Publish with Canadian-made software._ -**[Plotly Dash](/2-Publishing/Dash/)** is a popular Python library that allows you to create interactive web-based visualizations and dashboards with ease. Developed by the Montreal-based company Plotly, Dash has gained a reputation for being a powerful and flexible tool for building custom data science graphics. With Dash, you can create everything from simple line charts to complex, multi-page dashboards with interactive widgets and controls. Because it's built on open source technologies like Flask, React, and Plotly.js, Dash is highly customizable and can be easily integrated with other data science tools and workflows. Whether you're a data scientist, analyst, or developer, Dash can help you create engaging and informative visualizations that bring your data to life. +**[Plotly Dash](../Dash/)** is a popular Python library that allows you to create interactive web-based visualizations and dashboards with ease. Developed by the Montreal-based company Plotly, Dash has gained a reputation for being a powerful and flexible tool for building custom data science graphics. With Dash, you can create everything from simple line charts to complex, multi-page dashboards with interactive widgets and controls. Because it's built on open source technologies like Flask, React, and Plotly.js, Dash is highly customizable and can be easily integrated with other data science tools and workflows. Whether you're a data scientist, analyst, or developer, Dash can help you create engaging and informative visualizations that bring your data to life. # Getting Started diff --git a/docs/en/2-Publishing/Datasette.md b/docs/en/2-Publishing/Datasette.md index 9fcdd54e9..dd62e4d7b 100644 --- a/docs/en/2-Publishing/Datasette.md +++ b/docs/en/2-Publishing/Datasette.md @@ -26,9 +26,10 @@ You can even explore maps within the tool! ![Run SQL Queries](../images/datasette-sql.png) + # Getting Started diff --git a/docs/en/2-Publishing/PowerBI.md b/docs/en/2-Publishing/PowerBI.md index 443d131f2..f805b89ff 100644 --- a/docs/en/2-Publishing/PowerBI.md +++ b/docs/en/2-Publishing/PowerBI.md @@ -13,7 +13,7 @@ our Storage system, and use the data as a `pandas` data frame. 1. A computer with Power BI, and Python 3.6 2. Your MinIO `ACCESS_KEY` and `SECRET_KEY` on hand. (See - [Storage](../index.md#storage)) + [Storage](../../5-Storage/Overview)) ## Set up Power BI diff --git a/docs/en/2-Publishing/R-Shiny.md b/docs/en/2-Publishing/R-Shiny.md index f03960d42..126e41f18 100644 --- a/docs/en/2-Publishing/R-Shiny.md +++ b/docs/en/2-Publishing/R-Shiny.md @@ -12,7 +12,7 @@ R-Shiny is an R package that makes it easy to build interactive web apps in R. _Publish Professional Quality Graphics_ -[![InteractiveDashboard](../images/InteractiveDashboard.PNG)](/2-Publishing/R-Shiny/) +[![InteractiveDashboard](../images/InteractiveDashboard.PNG)](../R-Shiny/) R Shiny is an open source web application framework that allows data scientists and analysts to create interactive, web-based dashboards and data visualizations using the R programming language. One of the main advantages of R Shiny is that it offers a straightforward way to create high-quality, interactive dashboards without the need for extensive web development expertise. With R Shiny, data scientists can leverage their R coding skills to create dynamic, data-driven web applications that can be shared easily with stakeholders. @@ -109,7 +109,7 @@ If you need extra R libraries to be installed, send your list to [the R-Shiny re !!! example "See the above dashboard here" - The above dashboard is in GitHub. Take a look at [the source](https://github.com/StatCan/R-dashboards/tree/master/bus-dashboard), and [see the dashboard live](https://shiny.covid.cloud.statcan.ca/bus-dashboard). + The above dashboard is in GitHub. Take a look at [the source](https://github.com/StatCan/R-dashboards/tree/master/bus-dashboard)). ## Once you've got the basics ... diff --git a/docs/en/3-Pipelines/Argo.md b/docs/en/3-Pipelines/Argo.md index 0f67e3d41..06d92e60a 100644 --- a/docs/en/3-Pipelines/Argo.md +++ b/docs/en/3-Pipelines/Argo.md @@ -374,14 +374,6 @@ Couler provides a simple, unified application programming interface for defining # Run the workflow w.create() ``` -=== "YAML" - ``` py title="workflow.yaml" linenums="1" - - ``` -=== "Seldon?" - ``` py - - ``` ### Additional Resources for Argo Workflows From cc8a1ec4c8416f9620b5a6ef84cb9914fec9304f Mon Sep 17 00:00:00 2001 From: Wendy V Gaultier Date: Fri, 13 Oct 2023 15:37:06 +0000 Subject: [PATCH 3/5] Disk --- docs/en/5-Storage/Disks.md | 4 ++-- docs/en/images/kubeflow_delete_disk.png | Bin 49087 -> 59706 bytes docs/en/images/kubeflow_existing_volume.png | Bin 49272 -> 29992 bytes docs/fr/images/kubeflow_delete_disk.png | Bin 49087 -> 63554 bytes 4 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/en/5-Storage/Disks.md b/docs/en/5-Storage/Disks.md index ef0e76bb3..e8a061031 100644 --- a/docs/en/5-Storage/Disks.md +++ b/docs/en/5-Storage/Disks.md @@ -6,7 +6,7 @@ you from fast solid state drives (SSDs)! # Setup When creating your notebook server, you request disks by adding Data Volumes to -your notebook server (pictured below, with `Type = New`). They are automatically +your notebook server (pictured below, with go to `Advanced Options`). They are automatically mounted at the directory (`Mount Point`) you choose, and serve as a simple and reliable way to preserve data attached to a Notebook Server. @@ -27,7 +27,7 @@ to reuse). If you're done with the disk and it's contents, ## Deleting Disk Storage To see your disks, check the Notebook Volumes section of the Notebook Server -page (shown below). You can delete any unattached disk (orange icon on the left) +page (shown below). 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