A strategy pattern that makes ducks quack is less useful than that which uses an actual strategy to help the developer (like say, a sorting function that changes implementation based on number of elements). The readme should also be there as an introduction to the need for the pattern itself, as well as maybe some good quality (subjective) external references and links

It would be great to have an introduction for each topic so I can understand why that topic is relevant e why I should spend time studying it.

If the window size is under a certain size, the path and the tree view is too small to accommodate the buffer. A minimum size should be set to guarantee that it's still usable.

Code cleanup!

This will also make it much easier to integrate/share the code for each of the mac/windows/linux/mobile!? OS versions.

In an open community that is entirely volunteer-driven, it makes perfect sense (to me) to have an org team that is also open, so that anyone can step up and help out.

From my point of view, this has worked reasonably well during the past 4 years. There is always room for improvement though, and one of the things I would like to see improved is a more explicit / transparent process (or a better

I'm gonna be redundant with this ticket, but I feel I can start proposing the work I made regarding e2e testing on the Gatsby-source project.

Some background:
directus/gatsby-source#2
directus/gatsby-source#8
directus/sdk-python#16

I propose to add e2e testing for this SDK using the same tools I used for Gatsby-so

The goal is to expand the current text (http://benvanwerkhoven.github.io/kernel_tuner/hostcode.html) into a more self-contained tutorial. And again as a Jupyter Notebook so that the user can really play around and try things out. It's perhaps better to switch to a simpler example than a fully overlapped and streamed convolution kernel, that can be a bit too complicated.

Challenge #13 - Interactive visualization of HPC performance data

Stream 1 - Weather related software and applications

IMPORTANT: this challenge is eligible to apply for cloud credits from the European Weather Cloud.

Goal

Develop interactive analysis tools for visualizing IFS performance data.

Mentors and skills

• Mentors: @mlange05 , @marsdeno @crbrune
• **Sk