While I was creating my timesheet package, I started learning about writing unit tests in python. I explored ways to add a coverage badge to my README.md in my repository and I came across quite a few tools:
I’ve been working on a simple python package called timesheet, it’s a tool to help you track the hours you work in a simple spreadsheet. My previously role had a brilliant flexible working strategy that relied on tracking the hours you worked, when I decided to leave that role I wanted to take a bit of it with me so I created timesheet.
It’s been a while (over a year) since my last blog post! I’m hoping to get back into the swing of writing them fairly regularly but we’ll see! 😄 In this post, I want to talk a little about reproducibility (how easy it is to repeat and adapt projects) and reflect on one of my own projects.
Taken me a while to get back to my blog and wanted to start with a quick one about a spoon that I whittled during my Christmas holiday. It’s a big whale (sort-of) spoon whittled out of seasoned sycamore planks.
I’m trying to get better at using docstrings to document my R functions as I write them. A docstring is a block of comments that describe a function, its inputs and output. They are extremely useful tools to help your future self and others understand what your function is doing.
So Joanna was stuck with more than 17,000 unread emails in her gmail account and I’m struggling to handle it! 😕 So I figured I could use Google Apps Script code to help.
Today I set about trying to bring a little linux joy into my Windows work life. Although Windows 10 is the world’s most popular operating system, it isn’t mine! 😊
I had a great opportunity to talk about data ethics in practice at the ScotSoft2020 conference. I decided this would be the perfect chance to try out the amazing reveal.js html presentation framework.
Today is the day I’ve started using GitHub Actions. I found the following two resources really helpful:
I’ve recently added the radarChart() function into my basicPlotteR R package. Radar Charts provide a way that we can map scores in different qualitative categories.
