amh-code VS full-speed-python

I agree that it may not be the most readable format. So far, the best-structured piece on similar topics I’ve seen is Algorithmica: <https://en.algorithmica.org/hpc>.

I am sure it overlaps in terms of topics, maybe even some examples, but the homepage suggests that the book is about 500 pages long. I generally don’t have a time budget to read that much, and in most cases, I want to play with the code more than read the text, especially when some new IO_uring feature, a metaprogramming tool, or an Assembly instruction comes out.

Another observation is that people don’t like to read into 5000-word essays on each topic. At best, those become training materials for the next LLMs and will affect future code only indirectly…

I’m all ears for alternative formats if you have recommendations, as I generally reimplement such projects every couple of years ;)

I recently stumbled on https://en.algorithmica.org/hpc/ which I absolutely loved. It's really well written, comprehensible and concise. It felt like a pleasure to read which I find really rare with CS textbooks and I feel like I've come out of it understanding how computers work a bit better

Does anyone have any similar CS books they'd recommend? Ideally they'd be:

I admire Daniel Lemire’s work on SIMD implementations. [Lemire]

[Lemire] https://lemire.me/en/#publications

I learn a lot by reading my compiler’s and profiler’s documentation.

For Rust, the Rust Performance Book by Nicholas Nethercote et al. [Nethercote] seems like a nice place to start after reading the Cargo and rustc books.

[Nethercote] https://nnethercote.github.io/perf-book/

Algorithms for Modern Hardware by Sergey Slotin [Slotin] is a dense and approachable overview.

[Slotin] https://en.algorithmica.org/hpc/

Quantitative understanding of the underlying implementations and computer architecture has been invaluable for me. Computer architecture: a quantitative approach by John L. Hennessy and David A. Patterson [H&P] and Computer organization and design: the hardware/software interface by Patterson and Hennessy [P&H ARM, P&H RISC] are two introductory books I like the best. There are three editions of the second book: the ARM, MIPS and RISC-V editions.

[H&P] https://www.google.com/books/edition/_/cM8mDwAAQBAJ

Hello, recently I've enjoyed Casey Muratori's Performance-Aware Programming course[0]. You could read Algorithms for Modern Hardware[1] to learn similar set of stuff though. Casey's course is aimed at bringing beginners all the way to a nearly-industry-leading understanding of performance issues while the book assumes a bit more knowledge, but I think a lot of people have trouble getting into this stuff using a book if they don't have related experience.

I've also found Hacker's Delight Second Edition[2] to be a useful reference, and I really wish that I would get around to reading What Every Programmer Should Know About Memory[3] in full, because I end up reading a bunch of other things[4] to learn stuff that's surely in there.

[0]: https://www.computerenhance.com/p/welcome-to-the-performance...

[1]: https://en.algorithmica.org/hpc/

[2]: https://github.com/lancetw/ebook-1/blob/80eccb7f59bf102586ba...

[3]: https://people.freebsd.org/~lstewart/articles/cpumemory.pdf

[4]: https://danluu.com/3c-conflict/

If you're learning Python, and know other programming languages, I have this online ebook [1] that I use with my students so that they learn Python fast enough so that I can teach them about socket programming.

Basically, in each chapter I give a small detailed introduction to the topic and then students do some exercises to solidify things.

[1] https://github.com/joaoventura/full-speed-python

SEEKING FREELANCE WORK

I'm available for Python and Django freelance work, if it's interesting enough. I've 10+ years of professional experience working with that stack. You can check some of my projects at [1] and look at some of my code at [2] and [3].

I'm also a part-time CS Professor (I have a CS PhD - AI - TextMining), so I'm also available for tutoring students 1-1 (or small groups). Topics can include anything from CS curricula, but I have lots of experience introducing people to programming (I have a Python ebook with exercises - fullspeedpython [4]), and building web apps either in Python or Java (intro to programming, databases, networking, html+css, webframeworks, webservices => web apps). If you're new to CS and programming and you're self-learning, I can help you navigate what's important, what's irrelevant and provide you with some guidance.

Giving that I see thousands and thousands of code every semester, I'm also available for doing code reviews or helping with best practices for individuals and teams.

My current rate is 80€-100€/hour.

[1] https://joaoventura.net/projects/

[2] https://github.com/joaoventura/

[3] https://github.com/flatangle/flatlib

[4] https://github.com/joaoventura/full-speed-python

I’m in the initial phase of structuring a book that aims to teach some simple algorithms and data structures using Python. The idea is that the reader should do the (guided) exercises to learn how to build those data structures. It’s basically “learn by doing”.

For instance, to teach what a stack is I’ll explain the basic idea of a stack, then provide a base class and the reader must implement each method (init, push, pop, peek, etc) given the requirements and intended results of each functionality.

I have a learn by doing ebook about Python (https://github.com/joaoventura/full-speed-python), so it’s like a follow-up to that one. Don’t know if people are interested though..

Cool list! @pamoroso, if you read this comment, I've submitted an issue on the repo to add my own ebook (full-speed python).

If someone stumbles on this on HN, here's the link to the repo [1] and releases [2]. It's basically a simple ebook where each chapter shows a little bit of what you can do with something (numbers, strings, lists, dicts, modules, etc.) and then the reader solves the asked exercises. I use this for my students who already know how to program (BSc and MSc) to get up to speed with Python, so that we can go learn sockets, http protocols, web frameworks, etc..

[1] https://github.com/joaoventura/full-speed-python/

[2] https://github.com/joaoventura/full-speed-python/releases/