Hope everyone's Labor day was wonderful.
Monkeying around with a Docker image today I found I needed to run some commands on a non-interactive container.
Luckily I was able to find the exact command I needed to shell in and do my work.
docker run -it --entrypoint /bin/bash <image>
As I am finding myself being drug (dragged?) into the world of data science kicking and screaming i'm finding the world is wrought with acronyms, disparate and similar programming languages, and all sorts of other demons.
Today's demon is R.
R is a interpreted language (yay no compiling) which is used primary for statistical computing.
I was able to install the Deb for https://www.rstudio.com/ - which seems like the best IDE for the platform.
From there I was able to draw a pretty graph with some of the demos.
First, I pulled some data from here regarding the Bulls in '93
I saved it as a CSV and was able to load it into RStudio and show a pretty Pie chart with the commands below:
#Read data from CSV data = read.csv("bulls.csv") #Let's see the data with just Player and points. data.frame(x=data$Player,y=data$PTS) #Pretty piechart! pie(data$PTS,labels=data$Player)
Finally, data science can tell us who the best Bulls player is!
Putting a pin in this project - this seems to be super handy for developing locally on minikube.
It's benefit seems to be its simplicity.
Only one command and you can forward all of the service ports associated with the specified namespace.
Instead of messing around with host entries of forwarding ports, you can let this do it for you.
See you all tomorrow!