Ah, C. Still the language of modern high-performance computing.

C is the lowest-level language most programmers will ever use, but it more than makes up for it with raw speed. Just be aware of its manual memory management and C will take you as far as you need to go.

This is a maintained technical guide that aims to provide introduction to various online tracking techniques, online id verification techniques and guidance to creating and maintaining (truly) anonymous online identities including social media accounts safely and legally. No pre-requisites besides English reading are required.

GPT-3, or Generative Pre-trained Transformer 3, is a piece of AI from the OpenAI group that takes text from the user, and writes a lot more for them.

And, freaking heck am I am impressed at what folks have managed to build around the GPT-3 technology.

There was a recent argument about the Python Cryptography library switching to Rust. Who was at fault?

JuliaMono is a monospaced typeface designed for programming in the Julia Programming Language and in other text editing environments that require a wide range of specialist and technical Unicode characters.

Be more efficient with this Linux directory navigation trick.

Well, if you found this page and are interessed in pass, you must already have your reasons to look into password managers. For me, it's a basic concept: Use password only once. Don't (ever) reuse passwords or passphrases for other services. If one service gets compromised, you won't automatically have to worry about your other services. This makes remembering passwords a bitch, especially if you don't iterate through numbers of your favorite, easy-to-guess, passwords. Speaking of which, yes, there are tools out there, that can generate very good dictionaries based on a bit of social engineering. So you really should use generated passwords.

Python has incredibly scalable options for exploring data. With Pandas or Dask, you can scale Jupyter up to big data. But what about small data? Personal data? Private data? [JupyterLab and Jupyter Notebook provide a great environment to scrutinize my laptop-based life.

You've possibly just found out you're in a data breach. The organisation involved may have contacted you and advised your password was exposed but fortunately, they encrypted it. But you should change it anyway. Huh? Isn't the whole point of encryption that it protects data when exposed to unintended parties?

So The Register managed to incite a lot of discussion with a headline that plain-text e-mail is a barrier to entry for kernel development. While attention grabbing, this is actually not a new debate. Like a lot of tech arguments this one seems to come up on a cyclical basis. Maybe because maintainer summit didn’t happen this year it needed to come out elsewhere. I gave a few thoughts on twitter but this topic really deserves a longer look at the problem and what e-mail being a barrier really means.