After years of using a full size (and very old) Apple USB keyboard for my Mac, I recently bought a Logitech K380 bluetooth keyboard to try something smaller that would take up less space on the desk. It’s reasonably cheap (around £35), offered support for Mac and PC layouts and can pair with up to 3 devices at once. I bought an MX Master mouse years ago which has been fantastic, so I thought I should try a Logitech keyboard to see how they compare.
Floating point values normally just work, but there are a few issues with them that are useful to be aware of! My previous post discussed the representation of values, but this one will talk more about the times where things might not work quite as expected. I’m aiming for this to be a practical guide with some simple rules to follow, rather than an exhaustive study into all the issues with floating point.
A recent discussion with a colleague about issues with floating point comparisons made me realise that my knowledge of best practices boiled down to comparing floating point values using tolerances and switching to
double if issues with accuracy popped up. I figured it was time to look into it further and get a better understanding of what is actually going on.
Following on from the C++ collections post, it’s time to create a similar overview page for Python! There are more collection classes than this, but I wanted to revise the basics.
As I work through a bunch of algorithm problems in C++, I thought it would be useful to create a summary of the collection classes built into the standard library.
I spent a little time over the New Year catching up on some reading, giving me an opportunity to skim through the 2018 ThoughtWorks Technology Radar to get an overview of interesting developments in the field. Here are some of the things that caught my eye.
Recently, a number of teams at work have started to make use of Docker. To improve our Docker knowledge across the company, we organised a Code Jam. We’ve run a number of these events in the past and, after some experimentation, we’ve settled on a format that seems to work well for us.
I’ve been playing with Docker recently, but not enough that I always remember the commands. Here’s my cheat sheet for future Docker use.
Time to resurrect the old GitHub Pages site! I haven’t really touched this for the last two years, so it’s time I brought the site up to date. One part of this is installing Jekyll locally on my Mac so I can test the site without continually uploading it to GitHub.
I tend to modify more projects than I create, so while I can often remember APIs, I often forget the steps I used to set everything up. Therefore, this page is a future reference for me when I forgot to do all this. (If you haven’t done this before then hopefully this will serve as a good starting point!)
Some notes on how I got VirtualBox to boot from my Windows 10 Boot Camp drive. This will let you share a Windows install between Boot Camp and VirtualBox.
I needed an HTTP proxy for testing busalert today so my Raspberry Pi was temporarily turned into a proxy server. Here’s the steps I needed to follow to get it to work.
I set up a fresh install of Qt 5.4 on Windows 7 today and Qt Creator crashed on startup with an error in ig4icd32.dll. Some Google searches gave me the impression that it might be related to the Qt Creator Welcome page (which uses QtQuick) and my terrible old Intel GMA 950 GPU which I’ve got in this laptop.
Was creating some ISO disc images this week with OS X Lion (from existing discs) and thought I would document the process.
Rotation matrices can be built by combining basic rotations in X, Y and Z (see Wikipedia), but it’s also possible to describe them by setting values in the matrix directly. I’ve recently found this useful as a quick way to create a matrix to convert from a space where the X and Y axes are flipped.