notepad plus plus for Linux and other cool stuff I’ve found this week

notepad plus plus linux

notepad plus plus for Linux

I use notepad++ at work on a windows machine, I find it great for taking notes, and editing SQL scripts on the go.

For a long time Geany has been my goto Linux file editor, but it might now get more limited use in the future now that notepad++ is available in Linux, via snap πŸ™‚

Crazy too, that I think this is my first snap install!

This is still a Windows exe, installed via Wine, so still not a fully fledged Linux install, but it has all of the familiar features.

Simply install by typing the below into a terminal:
sudo snap install notepad-plus-plus


Which machine learning algorithm should I use?

machine learning cheat sheet
This link appeared on my Twitter feed this week; it’s a year old blog entry from SAS, but still useful.

Guide how to use it here: machine-learning-algorithm-use


How to make a bouncing ball simulator in Python

Scrolling through my Twitter posts this caught my eye, Boing Boing, a cool well presented project, and something a little different than what I use Python for.


Day Tripper tab by The Beatles

In the gym earlier in the week when this awesome promo video from The Beatles started playing on the large screen on the back wall; I’ve had this guitar riff in my head ever since πŸ™‚

E|—————————|—————————|
B|—————————|—————————|
G|—————————|—————————|
D|————2-O—-4—-O-2|————2-O—-4—-O-2|
A|———-2——2—-2—-|———-2——2—-2—-|
E|—O–3-4——————|—O–3-4——————|

Here’s what the band said about the song


Nearly finished Horizon Zero Dawn, I just don’t want it to finish. I’ve been travelling around the map, enjoying the scenery, finding all of the collectables.

Then discovered that Call of Duty Black Ops iii was free on the PS4 this week, so my attention has been diverted… times like this I am thankful for having fibre πŸ™‚

It’s been one of my favourite CoD multiplayer games since Modern Warfare, had heaps of fun, and am keeping a positive KDR πŸ™‚

Thinking of making a commitment to completing Bloodborne next from my list of games to finish… but no point rushing in to anything eh?

Machine learning with R

I’ve been working my way through Trevor Stephens well written and informative Kaggle Titanic tutorial for R.

Competition Description

The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships.

One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class.

In this challenge, we ask you to complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy.

Excel would have been my first weapon of choice, but I wanted to try a new approach and a new analytical tool.

I’ve a use for R in my salaried role, and can see how I can utilise what I’ve learned in the guide in real World projects.

So thanks to Trev I now have a top 400 ranked score, and I am driven to do better. Think I’ll manipulate the data in Excel, rather than mastering regex in R, let’s see how high up the rankings I can get πŸ™‚