Merge branch 'main' into yetulaxman-patch-1

materials/batch_job.md

@@ -38,7 +38,7 @@ Minimal example of batch script:
 
 ```bash title="simple.sh"
 #!/bin/bash
-#SBATCH --account=project_200xxxx   # Your CSC project. Mandatory.
+#SBATCH --account=project_20xxxxx   # Your CSC project. Mandatory.
 #SBATCH --partition=test            # Partition, see section below
 #SBATCH --time=00:02:00             # Maximum duration of the job. 
 #SBATCH --ntasks=1                  # How many cores?

materials/csc_services.md

@@ -6,7 +6,7 @@
 * Virtual machines for web services and database: [cPouta](https://research.csc.fi/-/cpouta)
 * Containers for web services: [Rahti](https://research.csc.fi/-/rahti)
 * Sensitive data: [SD services](https://research.csc.fi/sensitive-data-services-for-research), [ePouta](https://research.csc.fi/-/epouta)
-* Jupyter and RStudio for courses: [CSC Noppe](https://docs.csc.fi/cloud/noppe/)
+* Jupyter and RStudio for courses: [Noppe](https://docs.csc.fi/cloud/noppe/)
 
 ## Data services
 

materials/exercise_allas.md

@@ -28,7 +28,7 @@ Learn how to:
 
 :::{admonition} Change the default project and username
 
-* `project_200xxxx` is an example project name, replace with your own CSC project name.
+* `project_20xxxxx` is an example project name, replace with your own CSC project name.
 * `cscusername` is an example username, replace with your username.
 :::
 
@@ -54,38 +54,38 @@ allas-conf --mode s3cmd
 # Create a new bucket
 # s3cmd mb <name_of_your_bucket>
 
-s3cmd mb s3://project_200xxxx-cscusername
+s3cmd mb s3://project_20xxxxx-cscusername
 
 # Upload (later syncronize) a folder to Allas
 # s3cmd sync <local_folder> s3://<name_of_your_bucket>
-s3cmd sync /appl/data/geo/mml/dem10m/2019/W3/W33/ s3://project_200xxxx-cscusername
+s3cmd sync /appl/data/geo/mml/dem10m/2019/W3/W33/ s3://project_20xxxxx-cscusername
 
 # List all buckets
 s3cmd ls
 
 # List all files in one bucket
 # s3cmd ls s3://<name_of_your_bucket>
-s3cmd ls s3://project_200xxxx-cscusername
+s3cmd ls s3://project_20xxxxx-cscusername
 
 # Read and write directly to Allas with GDAL
 # Make GDAL avaialble
 module load geoconda
 
 # See metadata of a file from GDAL exercise
-gdalinfo /vsis3/project_200xxxx-cscusername/W3333.tif
+gdalinfo /vsis3/project_20xxxxx-cscusername/W3333.tif
 
 # Enable writing with GDAL
 export CPL_VSIL_USE_TEMP_FILE_FOR_RANDOM_WRITE=YES
 
 # Make the .tif file to Cloud-Optimized GeoTiff
-gdal_translate /vsis3/project_200xxxx-cscusername/W3333.tif /vsis3/project_200xxxx-cscusername/W3333_COG.tif -of COG
+gdal_translate /vsis3/project_20xxxxx-cscusername/W3333.tif /vsis3/project_20xxxxx-cscusername/W3333_COG.tif -of COG
 
 # See metadata of the new file
-gdalinfo /vsis3/project_200xxxx-cscusername/W3333_COG.tif
+gdalinfo /vsis3/project_20xxxxx-cscusername/W3333_COG.tif
 
 # Delete all from Allas
-s3cmd del --recursive --force s3://project_200xxxx-cscusername
-s3cmd rb s3://project_200xxxx-cscusername
+s3cmd del --recursive --force s3://project_20xxxxx-cscusername
+s3cmd rb s3://project_20xxxxx-cscusername
 ```
 
 :::{admonition} Key points 

materials/exercise_basics.md

@@ -22,7 +22,7 @@
 :class: important
 
 * Access to Puhti webinterface
-* Own directory within the course directory `/scratch/project_200xxxx/students/cscusername`
+* Own directory within the course directory `/scratch/project_20xxxxx/students/cscusername`
 
 :::
 
@@ -44,7 +44,7 @@ Let's reserve 10 minutes.
 On the **login node**: Start an interactive job with `srun`, e.g.:
 
 ```bash
-srun  --time=00:10:00 --pty --account=project_200xxxx --partition=interactive  bash      ##replace xxxx with your project number; you can also add --reservation=geocomputing_thu here for the course (not available at other times), change partition to small then
+srun  --time=00:10:00 --pty --account=project_20xxxxx --partition=interactive  bash      ##replace xxxxx with your project number; you can also add --reservation=geocomputing_wed here for the course (not available at other times), change partition to small then
 ```
 
 **or** on Puhti you can also use the `sinteractive` wrapper to start an interactive session from the **login node**, which simplifies the call and asks you for the resources step by step: 
@@ -55,7 +55,7 @@ sinteractive -i
 **or** directly: 
 
 ```bash
-sinteractive --account project_200xxxx --time 00:10:00         # replace xxxx with your CSC project, e.g. project_2001234
+sinteractive --account project_20xxxxx --time 00:10:00         # replace xxxxx with your CSC project, e.g. project_2001234
 ```
 
 :::
@@ -125,7 +125,7 @@ If you use a software that is pre-installed by CSC, please [check its documentat
 1. Go to your own directory in the `/scratch` directory of your project:
 
 ```bash
-cd /scratch/project_200xxxx/students/cscusername      # replace xxxx with your CSC project number and cscusername with your username
+cd /scratch/project_20xxxxx/students/cscusername      # replace xxxxx with your CSC project number and cscusername with your username
 ```
 
 2. Create a file called `my_serial.bash` e.g. with the `nano` text editor:
@@ -138,7 +138,7 @@ nano my_serial.bash
 
 ```bash
 #!/bin/bash
-#SBATCH --account=project_200xxxx   # Choose the billing project. Has to be defined!
+#SBATCH --account=project_20xxxxx   # Choose the billing project. Has to be defined!
 #SBATCH --time=00:02:00             # Maximum duration of the job. Upper limit depends on the partition. 
 #SBATCH --partition=test            # Job queues: test, interactive, small, large, longrun, hugemem, hugemem_longrun
 #SBATCH --ntasks=1                  # Number of tasks. Upper limit depends on partition. For a serial job this should be set to 1!

materials/installations.md

@@ -51,19 +51,13 @@
 
 * Open [Puhti web interface](https://puhti.csc.fi) and log in
 * Open Compute node shell (outside of the course, also Login node shell could be used)
-
-Reservation: geocomputing_thu (only during the course)
-Project: 2000xxx
-Partition: small
-Number of CPU cores: 1
-Memory (GB): 4
-Local disk (GB): 4
-Time: 00:30:00
-
-```
-srun --reservation=geocomputing_thu --account=project_2011224 --mem=4000 --ntasks=1 --time=0:20:00 --gres=nvme:4 --pty bash -i
-```
-
+  * Reservation: geocomputing_thu (only during the course)
+  * Project: project_20xxxxx
+  * Partition: small
+  * Number of CPU cores: 1
+  * Memory (GB): 4
+  * Local disk (GB): 4
+  * Time: 00:30:00
 
 Make Tykky tools available
 ```