Learning Machine

I’ve long used rsync for high fidelity, detailed copies of large swathes of files in Linux. For example:

I bought an 8TB external SSD to use as a live boot Linux device. I knew that this issue was due to the way that bits are aggregated into terabytes, but — thanks to our mate ChatGPT — here’s a nice explanation of why my 8TB SSD only shows 7,452 …

Using the Emmet capabilities in VSCode (see previous TIL) you can highlight a section of HTML code and quickly wrap it with other HTML using Emmet shortcuts.

This is, to a Python project / module, what if __name__ == '__main__ is to an individual Python file.

First, create a new project using poetry

neofetch provides a nice snapshot of system information. This is what you were wanting to add to the --sysinfo output for gpt-engineer.

Apparently there’s this plugin for many IDEs called Emmet which makes writing HTML very fast!

We’ll install Racket from apt as follows, as the snap version ended up with many hassles

In the Racket programming language, raco is a command-line tool used to interact with Racket's package management system, run tests, build documentation, and perform other tasks related to Racket development. It's a versatile utility that automates various tasks in Racket projects.

I’m reading Structure and Interpretation of Computer Programs and want to write Racket in VSCode in Jupyter notebooks in a dialect of Scheme closest to the book. This requires this declaration at the top of each Racket file: