From 98f631600439f9dc810fe08e63703d83f019c61b Mon Sep 17 00:00:00 2001 From: Damien Irving Date: Thu, 25 Jul 2024 16:10:14 -0400 Subject: [PATCH] Add links to 04-cmdline.md --- episodes/04-cmdline.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/episodes/04-cmdline.md b/episodes/04-cmdline.md index 8c9931c..e230831 100644 --- a/episodes/04-cmdline.md +++ b/episodes/04-cmdline.md @@ -26,7 +26,8 @@ and/or take notes on a new data analysis task. Once you've scoped out the task (as we have for plotting the precipitation climatology), that code can be transferred to a Python script so that it can be executed at the command line. It's likely that your data processing workflows will include command line utilities -from the CDO and NCO projects in addition to Python code, +from the [CDO](https://code.mpimet.mpg.de/projects/cdo) and +[NCO](https://nco.sourceforge.net/) projects in addition to Python code, so the command line is the natural place to manage your workflows (e.g. using shell scripts or make files).