diff --git a/_site.yml b/_site.yml index fa13bb8..3b77526 100644 --- a/_site.yml +++ b/_site.yml @@ -6,26 +6,17 @@ navbar: - text: Set-up icon: fa-clone href: set-up.html - - text: Workshop Weekly Notes + - text: Workshop Sessions icon: fa-calendar menu: - - text: Week 1 Intro to Docker + - text: Intro to Docker icon: fa-cogs href: week1-introtodocker-cs.html - - text: Week 2 Creating Docker Images + - text: Intro to JupyterHubs with R + icon: fa-cogs + href: juyterhub-R.html + - text: HackDay Geospatial R icon: fa-cogs - - text: Week 3 Remote-sensing Data in R - icon: fa-recycle - - text: Week 4 Remote sensing Data in R - icon: fa-recycle - - text: Week 5 Part 1. SDMs - icon: fa-box - - text: Week 6 Part 2. SDMs - icon: fa-box - - text: Week 7 Part 3. SDMs - icon: fa-file-code - - text: Week 8 Setting up a JupyterHub - icon: fab fa-github-alt - text: RVerse icon: fas fa-toolbox href: https://rverse-tutorials.github.io diff --git a/docs/index.html b/docs/index.html index e4e898a..de4f07e 100644 --- a/docs/index.html +++ b/docs/index.html @@ -11,7 +11,7 @@ -
In 2023, I am focusing on Part 1) cloud computing platforms and Part -2) working with remote-sensing data in R. Why cloud computing? Well the -days of doing all your work on a computer with all your software -downloaded to that are numbered. It is not a very efficient way to work. -It is more efficient to have everyone working on a fully provisioned -platform so you can focus on the science and not the software -installation headaches. Part 2) is because I am preparing for a couple -oceanography hackweeks in late summer. The focus of these workshops is -practical skills and tools; they are intended to get you applying the -skill immediately in your own work. I will give you links to my and -other NOAA GitHub repositories that illustrate more complex examples -(that you can copy and build on).
-Target audience: This year I am assuming that you -have an understanding of using Git and GitHub. See the RWorflow -Workshops 2022 if not. All sessions (except last) were recorded.
+In 2023, I am focusing on cloud computing platforms and working with +remote-sensing data in R. Why cloud computing platforms? This allows +everyone to work in a fully provisioned platform so you can focus on the +science and not the software installation. See the ‘Workshop Sessions’ +tab in top navigation for a link to 2023 sessions.
About the instructor Eli Holmes: I am a -modeler/applied mathematician. I develop R packages for public use. I -teach time-series analysis at the University of Washington (using R) and -I teach workshops on R and reproducible research and am heavily involved -in efforts to support transition to Open Science workflows within NOAA -Fisheries. website
+modeler/applied mathematician. I teach time-series analysis at the +University of Washington (using R) and I teach workshops on R and +reproducible research. Since 2021, I have been attending and helping +with hackweeks using JupyterHubs provisioned for geospatial analyses: NASA +EarthData Cloud hackweek, ICESat-2 hackweek, SnowEx hackweek (assistant), +OceanHackWeek +(project lead), ITCOocean +Hack2Week (lead organizer).On Dec 6th at 12:30PM PT, I am demo-ing a JupyterHub that I have set +up on a Kubernetes Cluster on the NOAA Azure account. If you want to +join ADD +CALENDAR event.
+In this session, you will get a brief introduction to JupyterHubs, +which is a popular platform for cloud computing. It is an open source, +provider agnostic (runs on AWS, GCP or Azure), computing platform used +across scientific communities for shared computing environments. You’ll +get to play around on a JupyterHub set up for geospatial analyses with R +or Python using either Jupyter notebooks or RStudio. I will discuss how +cloud computing platforms streamline and accelerate science innovation +by increasing reproducibility and removing the “set-up” phase of a +computing environment. This is especially important with big data +geospatial analysis as the ‘set-up’ phase can be tricky and +time-consuming.
+JupyterHub: https://dhub.opensci.live/hub/login
+If you want to get on the JupyterHub during the intro session, I will +need your GitHub username. Provide that with this form: https://forms.gle/RQdnw4HsbSd3zC9b8
+On Dec 19th 8-3pm PT, I will run a mini NOAA hackday during which we +will use the JupyterHub to do a day of geospatial analysis with R and +work on projects pitched by the group. ADD +CALENDAR event.
+Schedule
GitHub username required to participate as we will use it provide +access to the JupyterHub. Provide with this form: https://forms.gle/RQdnw4HsbSd3zC9b8.
+Coding skills needed For this session, I will only be +presenting content in R. However Python programmers are welcome to join +as a geospatial environment for Python is also on the hub. You will not +need Git/GitHub skills. The GitHub username is used for authentication +to the hub.
+NWFSC Math Bio Program, NOAA Fisheries diff --git a/docs/jupyterhub-R.html b/docs/jupyterhub-R.html new file mode 100644 index 0000000..8172264 --- /dev/null +++ b/docs/jupyterhub-R.html @@ -0,0 +1,487 @@ + + + + +
+ + + + + + + + +hello.R
and show where
diff --git a/docs/week1.html b/docs/week1.html
index f7dd643..d07d458 100644
--- a/docs/week1.html
+++ b/docs/week1.html
@@ -339,7 +339,7 @@
- Workshop Weekly Notes
+ Workshop Sessions
@@ -348,16 +348,17 @@
- Week 1 Intro to Docker
+ Intro to Docker
hello.R
and show where
diff --git a/docs/week2.html b/docs/week2.html
index 5ad24b5..9dc4b59 100644
--- a/docs/week2.html
+++ b/docs/week2.html
@@ -339,7 +339,7 @@
- Workshop Weekly Notes
+ Workshop Sessions
@@ -348,16 +348,17 @@
- Week 1 Intro to Docker
+ Intro to Docker