AWS is shiny AWS is so, so shiny and awesome, but when I first got started I felt overwhelmed by the sheer amount of stuff. There is so much flexibility, and cli tools, and ways to do anything. Initially, all I wanted to be able to do the things I&

Deploying your web application with NGINX I was so stoked the first time I'd managed to build a web application. It was solving an actual problem real people were facing. It was love at first site between me and infinite scroll data tables. Then I had to deploy

All without installing a thing! Besides docker, of course! When I was first starting getting with docker I had SO MUCH trouble figuring out the connection strings. Once I got it sorted I wrote myself up a series of templates I could refer to. There's no real purpose

Query a Redis DataStore from a Python Application Redis is one of my favorite technologies to use when I'm building web apps. It's just super. If you haven't used it its sort of like a database, without the structure, and its blazing fast because

For those of you who have written MPI, this is kind of like that, except you don't have to write MPI!If you would like to know more about basic Dask syntax, check out my blog post on Parallelizing For Loops with Dask. Dask Syntax Normally when using

If you're in the scientific computing space there's a good chance you've used Python. A relatively recent addition to the family of awesome libraries in Python for Scientific Computing isDask. It is a super cool library that allows you to parallelize your code with

For those of you who have written MPI, this is kind of like that, except you don't have to write MPI!If you would like to know more about basic Dask syntax, check out my blog post on Parallelizing For Loops with Dask. Dask Syntax Normally when using

If you're in the scientific computing space there's a good chance you've used Python. A relatively recent addition to the family of awesome libraries in Python for Scientific Computing isDask. It is a super cool library that allows you to parallelize your code with

Deploying scientific software in an HPC environment can be challenging. Deploying bioinformatics software anyhow anywhere, or say a High Performance Computing Cluster (HPC), can be especially challenging! Life, at least in this regard, has become so much better in the last few years. Anaconda, the scientific python distro along with