TL;DR: I think that writing in your target language everyday is a great way to improve your writing skills! So much so that I’m working on an app to help with that. Check it out at writescribir.com.
I think that writing in your target language everyday is a great way to improve and to keep your new language on your mind, especially when you don’t live in a country where your target language is spoken (or primarily spoken).
TL;DR: “Once they’re sold, stop selling”, in the way that it’s usually interpreted, is bad “classic sales advice” depending on the goals of your organization and how you view the role of a sales person. A big grain of salt: I’m not in sales, I’m an engineer, about 80% of my day to day is development and post sales support.
We’ve all heard it before… some form of “when you’ve got the sale, shut up” or, “once they’re sold, stop selling”.
TL;DR - Monte Carlo Simulation can be used to model your historical sales pipeline data to account for some of the randomness and uncertainty in the sales process. In this post, Monte Carlo Simulation is introduced and then applied to the same case introduced in a previous post.
What is Monte Carlo Simulation? Monte Carlo Simulation is used to simulate a process using random sampling. It is a very general technique that can be used to model all kinds of processes in fields ranging from physics and chemistry, to economics and finance.
TL;DR - Railway doesn’t support git submodules yet. They probably will at some point - here’s the feature request. In the meantime, here’s a quick workaround to get it working / deploying.
Use Github Workflow You can deploy projects to railway.app directly from github, but they do not support git submodules yet. So your repo gets cloned as usual and railway attempts to build/deploy. However, the submodules are not included, and the build will fail.
TL;DR: Update your Github Profile Readme dynamically with recent blog posts. There’s an example (profile and code).
Github Profile Readme Github introduced the option to a add profile readme, which is a special repository that is used to display a readme on your profile page. I wanted to post links to my recent blog posts there, so I wrote a simple python script to check for the latest X posts, and update the readme with links to them.