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Learn New Skills

attejuvonen.fi

103 pointsbaobabKoodaa16 comments

Following this format, here's some of my favorites:

1. Pro Git, by Scott Chacon and Ben Straub (https://git-scm.com/book/en/v2)

- Skill: Git, covering both high-level aspects (commiting, branching, GitHub/GitLab, etc) and its internals (objects, references, packfiles, protocols, etc)

- Kind of material: free e-book, book and website

- Why is it good: easy to read, even when approaching the inner aspects. It's very unlikely that you won't learn something new and amazing after reading it. The Git internals chapter is a gem, providing and demonstrating the plumbing commands that manipulate the internal data structures.

2. Learn you a Haskell for Great Good by Miran Lipovača (https://learnyouahaskell.com/)

- Skill: Haskell

- Kind of material: free e-book, book and website

- Why is it good: covers the language and functional programming in a very fun and informal way. Reading it and learning Haskell made me a better programmer in other languages (specially in Python and Kotlin)

3. intro_x86-64 by Luana Martins (https://gitlab.com/luamfb/intro_x86-64)

- Skill: x86 assembly (NASM)

- Kind of material: tutorial mixed with code

- Why is it good: covers the x86-64 assembly using the NASM syntax, explaining the basic instructions, the stack, function calls, syscalls and so on. Easy to read, with some exercises. The chapters themselves are valid NASM code that you can assembly and run in your machine.

4. Putting the you in CPU by Lexi Mattick (https://cpu.land/)

- Skill: operating systems and program execution

- Kind of material: website

- Why is it good: explain what happens when you run a program, covering syscalls, multitasking, memory management, fork, exec, ELF and so on. Everything written in a very fun and informal way

5. Fluent Python by Luciano Ramalho

- Skill: Python, but for those who already know Python and want to improve their skills

- Kind of material: book

- Why is it good: explains in depth several Python concepts, sometimes even showing the bytecode.

Great collection. I can dive into content like this all day, everyday.

Agreed, condensed lists of web gems and book recommendations are some of the best content on HN, and one of the main reasons I visit daily.

I'd add to the Money Stuff newsletter the Money Stuff podcast, with Matt and Katie Greifeld (BBG reporter). The two have great chemistry, and slightly different interests in finance, so it covers topics beyond the single thread he typically covers in the newsletter.

Also: Odd Lots.

Leading with an AI-generated image makes me assume the rest of the post is AI-generated garbage text. Tab closed.

Author here. Text is not AI-generated or AI-assisted in any way. It's a collection of great learning resources I have cultivated over multiple years, recently even removed something from the list.

I don't mind the content itself, but the title implies you have a useful method to learn new skills.

Send PR for better title and I'll change it

What is the URL of your blog repository?

The title can be edited in this file: https://github.com/baobabKoodaa/blog/blob/master/content/pos...

I think GP means this https://www.attejuvonen.fi/static/92eb0beb02adda69075fbbba8c...

Yes, GP noticed that the image is AI generated and they made an assumption that probably the text is AI generated too, since the image is.

The image is AI generated.

The text is not AI generated.

Take the hint: your slop hero image is damaging the rest of your page by association. If you don't want people to assume your page is garbage, don't lead with garbage.

Feedback received.

I personally don't actually mind and don't infer the rest of the page to be garbage. Maybe because I don't consider the image garbage either.

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