amh-code
python-mastery
amh-code | python-mastery | |
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8 | 7 | |
551 | 10,363 | |
- | 1.4% | |
10.0 | 5.7 | |
over 1 year ago | 3 months ago | |
Jupyter Notebook | Python | |
- | Creative Commons Attribution Share Alike 4.0 |
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amh-code
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Ask HN: Recommendations for high quality, free CS books online
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:
- Algorithms for Modern Hardware
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Ask HN: How can I learn about performance optimization?
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
- Algorithms for Modern Hardware – Algorithmica
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Ask HN: Programming Courses for Experienced Coders?
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/
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SIMD Everywhere Optimization from ARM Neon to RISC-V Vector Extensions
https://en.algorithmica.org/hpc/ and http://0x80.pl/ have some stuff about this, but the latter can be dense. I've had fun getting my hands dirty with some problems at https://highload.fun/ but there's not much direction unless you go to the telegram chat and ask people questions.
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Fastest Branchless Binary Search
Other fast binary searches https://github.com/sslotin/amh-code/tree/main/binsearch
python-mastery
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Ask HN: Programming Courses for Experienced Coders?
I came here to mention Dave Beazley's courses and talks.
In particular, I recently prepped/ran a week-long, in-house training session of Dave's Python-Mastery[1] course at my day job. We had a group of 8 with a mix of junior and senior Software Engineers and while the juniors were generally able to follow along, it really benefited the senior SEs most. It covers the whole language in such depth and detail that you really feel like you've explored every nook and cranny by the time you're done.
[1] https://github.com/dabeaz-course/python-mastery/
(I enjoyed teaching the class so much that I've considered offering my services teaching it on a consulting basis to other orgs. If that interests anyone, feel free to reach out to the email in my profile.)
- Advanced Python Mastery
- Advanced Python Mastery – A Course by David Beazley
- is there a ruby equivalent of this?
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Ask HN: How can I get better at writing production-level Python?
Another great course is David Beazley's Advanced Python Mastery; he just put it all up on github (PDF of all slides + exercises) https://github.com/dabeaz-course/python-mastery
It's designed as a four-day workshop. Lots of material around 'mature' Python code
What are some alternatives?
sb_lower_bound - Fastest Branchless Binary Search
glom - ☄️ Python's nested data operator (and CLI), for all your declarative restructuring needs. Got data? Glom it! ☄️
branchless-binary-search - Binary search implementation that avoids branch instructions
funcy - A fancy and practical functional tools
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
blog - David Beazley's blog.
tigerbeetle - The distributed financial transactions database designed for mission critical safety and performance.
example-code-2e - Example code for Fluent Python, 2nd edition (O'Reilly 2022)
ThinkingInSimd - An essay comparing performance implications of ignoring AVX acceleration
curio - Good Curio!
std-simd - std::experimental::simd for GCC [ISO/IEC TS 19570:2018]
Toolz - A functional standard library for Python.