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As some point in your career you’ll find yourself needing to parse large amounts of alpha numeric data and selecting sections which match certain string patterns. For example, maybe you are parsing the contents of a webpage looking for hyperlinks, or summarizing the contents of a log file, or searching for values of parameters in a file heavy with text.
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So you have just built your first docker image (or podman image, but more about that in a minute). And it runs! And you are excited! So you start to tell people how cool you are, that you can run “stuff” inside a container. But then are quickly brought back down to earth when you realize that you don’t know how move this image to other platforms, like the cloud. It resides “somewhere” on your local machine, in a location that isn’t obvious.
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Containers aren’t new, but to the scientific community (as of writing), they kinda are! So what are containers? Well, simply put, they are a running instance of an image! Oh Right … totally get it!
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Yes, i know, you love using the library() function in R! But it can be a real problem for several reasons:
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Markdown for GitHub is the language of choice when creating issues, pull requests, using discussions, or editing your README file on GitHub.
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The DESCRIPTION file is a necessary staple for all R packages. Among other things (which we won’t get into, since this isn’t a post about creating R packages) it is the location for you to list all dependencies of your package. So when your package is installed the user also gets all the dependent packages installed too! Nice and tidy!
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Regardless of the language you are coding in, at some point, there will come a time when you just need to ask for help. When you do, you should always include a reproducible example to help explain your problem. Failing to do so will just irritate readers and limit the number of helpful responses.
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We’ve all done it, you’ll be happily commiting and pushing to GitHub from either the command line or, more than likely, your favorite IDE when you panic and realize that you just mistakenly pushed something to GitHub. You start sweating, and frenetically start googling how to reverse this. Well it turns out it is pretty simple.