abhirag · HackerTrans

abhirag

312 karmajoined 9 ปีที่แล้ว

[ my public key: https://keybase.io/abhirag; my proof: https://keybase.io/abhirag/sigs/uFY5p-Y3Fc9Jpy2S3f9nBdGV48xT-UaGpXcGlpUWFxM ]

Submissions

Rust Service Isn't Leaking – It Could Be the Allocator

7 pointsby abhirag13 วันที่ผ่านมา0 comments

Your Rust Service Isn't Leaking — It Could Be the Allocator

2 pointsby abhirag18 วันที่ผ่านมา0 comments

In which Lisp generates music

6 pointsby abhirag3 เดือนที่ผ่านมา7 comments

Benchmarks for IPC strategies in Rust

2 pointsby abhirag2 ปีที่แล้ว0 comments

Hints for Computer System Design (Butler Lampson)

2 pointsby abhirag9 ปีที่แล้ว0 comments

Prerelease binary wheels for Scipy on Windows are now available

1 pointsby abhirag9 ปีที่แล้ว0 comments

Folium: Python Data. Leaflet.js Maps

1 pointsby abhirag9 ปีที่แล้ว0 comments

Idyll: Interactive Document Language

idyll-lang.github.io

195 pointsby abhirag9 ปีที่แล้ว18 comments

Fun Paper Animal Puppets Designed to Move in Unexpected Ways When Touched

mymodernmet.com

1 pointsby abhirag9 ปีที่แล้ว0 comments

Binder – Turn a GitHub repo into a collection of interactive notebooks

beta.mybinder.org

10 pointsby abhirag9 ปีที่แล้ว5 comments

Helios|Yume(tone.js demo)

unseen-music.com

1 pointsby abhirag9 ปีที่แล้ว0 comments

7-inch Ubuntu/Win10 Laptop Crowdfunding Campaign

2 pointsby abhirag9 ปีที่แล้ว0 comments

Manifold Garden (Exploration Puzzle Game)

manifold.garden

1 pointsby abhirag9 ปีที่แล้ว0 comments

Advanced property-based (QuickCheck-like) testing for Python

2 pointsby abhirag9 ปีที่แล้ว0 comments

Simulating the World (in emoji)

2 pointsby abhirag9 ปีที่แล้ว0 comments

comments

3 เดือนที่ผ่านมาdiscuss

Location: Bangalore, India

Remote: Yes

Willing to relocate: Yes

Technologies: Rust (Tokio, Axum, Pingora), RocksDB, Python, Kubernetes, AWS/GCP, OpenTelemetry, NATS

Résumé/CV: https://abhirag.com/resume.pdf

Email: [email protected]

Systems engineer, ~5 years of Rust in production. Most recently:

- Helped build a distributed notification engine (3.3B notifications/day at 300k/sec, 99.9999% dispatch reliability)

- Feature store serving 60M daily requests at p99 < 5ms

- Pingora based L7 reverse proxy

- DBSP based stream analytics engine processing 3.3M events/sec on a single node

Open to anything interesting, especially where Rust is the primary language. Happy to chat!

3 เดือนที่ผ่านมาdiscuss

I think macros can help when the syntax seems messy, that is where lisp shines the most. Have a look at extempore lang (https://extemporelang.github.io/) you might like it. Macros written by others can feel like magic, but a DSL you create might still feel the most intuitive. I get your point about hidden syntax though.

The only other language I am still curious about trying for livecoding is forth, for example Sporth(https://paulbatchelor.github.io/proj/sporth.html)

3 เดือนที่ผ่านมาdiscuss

Comment seems AI generated, thanks anyway!

3 เดือนที่ผ่านมาdiscuss

Hey, thanks for taking a look! I have messed around with Clojure (Overtone) and Sonic Pi (Ruby dialect) and normally prefer lisps for anything fun :)

Regarding advantages/disadvantages, Lisp is always very terse which helps and with structural editing juggling parens becomes a non-issue. Dev environment being fiddly and fragile is the biggest con, you need to put some effort upfront in that.

3 เดือนที่ผ่านมาdiscuss

Livecoding Music with Fennel and Renoise

2 ปีที่แล้วdiscuss

At $work we are evaluating different IPC strategies in Rust. My colleague expanded upon 3tilley's work, they have updated benchmarks with iceoryx2 included here[0]. I suppose the current release should perform even better.

[0]: https://pranitha.rs/posts/rust-ipc-ping-pong/

8 ปีที่แล้วdiscuss

You are not alone in thinking this -- [https://www.slow-journalism.com/]

8 ปีที่แล้วdiscuss

Maybe this -- https://sappingattention.blogspot.in/2012/11/reading-digital...

8 ปีที่แล้วdiscuss

Maybe this is the article you are searching for -- It's Okay to "Forget" what you read (https://news.ycombinator.com/item?id=15146715)

8 ปีที่แล้วdiscuss

"The humble improve" -- Wynton Marsalis :)

8 ปีที่แล้วdiscuss

It hurts to hear stigma and Emacs together in a sentence but I guess you are referring to the arcane keybindings of Emacs. In that case I use native keybindings for editing in Emacs i.e. the old Cntrl-C, Cntrl-V, Cntrl-A, Cntrl-Z, Cntrl-S and vim keybindings for executing commands i.e. for things like running code. This is a great setup for beginners so do contact me if you need Emacs to be used with native keybindings :)

Just to give an example of what can be done using org-mode, this is the project I am using to grok Literate Programming -- http://ray_tracer.surge.sh/

The whole thing is generated using one org-mode file -- https://gitlab.com/snippets/1710454

and this org-mode file is the one I work in, it will eventually generate the source code in separate files too, once I have finished the project.

This is what my setup looks like -- https://i.imgur.com/mqi8vPR.png

Anyways I can't convince you to use it, but hopefully I can convince you to give it a try, it isn't easy but it is worth it :)

8 ปีที่แล้วdiscuss

Found it in the spam folder, will mail you the details soon :)

8 ปีที่แล้วdiscuss

I would love discussing the literate ray tracer I have been working on and the literate programming workflow I have made for it. Couldn't find your email in the profile, mine is [email protected], would be great to discuss if I can improve my workflow further :)

8 ปีที่แล้วdiscuss

I have used both Jupyter Notebooks and org mode with org-babel extensively and I agree with the OP regrading the fact that the org-babel workflow is vastly superior, OP did point out a few features which org mode workflow has and Jupyter Notebooks don't but I will try and provide a comprehensive list:

1. Plain text format, git and git diffs work

2. You can combine many languages in a single document, and every code block can be part of a separate session, as an analogy to Jupyter Notebooks, you can have multiple kernels backing a single notebook and you can decide what kernel you want the current code block to run in.

3. You can edit a code block in the major mode for that language, i.e. you get all the features of Emacs while editing code: documentation, auto-complete, snippets and anything Emacs can do, and Emacs can do a lot :)

4. You can have internal and external links to any part of the document (or any other org-mode file) within the editor which get exported as links in the HTML file too. Want to refer to a code block you used before, just name it and drop a link. Extremely useful in binding the whole document together.

5. Literate Programming support -- You can decide the order the concepts are introduced in according to the human reader, not according to the execution order the machine demands it to be in:

  #+NAME: named_code_block :eval no
  function_not_defined_yet()

  #NAME: complete_code_block
  def function_not_defined_yet():
      print("nice function innit?")
  
  <<named_code_block>>

The <<named_code_block>> gets expanded to whatever you defined it and you control the way you want to structure the document to be the most readable. You can keep working backed by a REPL in the initial stages and then extract(tangle in literate programming speak) to a file, again in the order you want using the <<named_code_block>> (NOWEB syntax). So one org-mode can generate your whole project if you wish so.

6. With the internal and external links and <<named_code_block>> (NOWEB syntax) the org-mode file is closer to being a hypertext file than Jupyter Notebook even though Jupyter Notebook is the one running in a browser.

I have covered only the major features of org-babel, I haven't even covered all the features. I love Jupyter Notebooks too, but org-babel is something else. I am currently working on a toy ray tracer in Clojure in literate programming style and loving every moment :)

8 ปีที่แล้วdiscuss

Thanks for the review, I have my eyes set on The Reasoned Schemer(https://mitpress.mit.edu/books/reasoned-schemer-second-editi...) if I ever feel like learning more about logic programming, maybe after that I can give The Art of Prolog a go :)

8 ปีที่แล้วdiscuss

On the topic of pretty covers, I love the covers of these two books a lot:

1. The Art of the Metaobject Protocol (https://mitpress.mit.edu/books/art-metaobject-protocol)

2. The Art of Prolog (https://www.amazon.com/Art-Prolog-Second-Programming-Techniq...)

but haven't been able to find any other motivation to buy them. Also I have never printed the Common Lisp Quick Reference(http://clqr.boundp.org/clqr-a4-booklet-all.pdf) because I always imagine it having a really pretty cover, and everything I try just falls short.

8 ปีที่แล้วdiscuss

I'd recommend London Review of Books (https://www.lrb.co.uk/)

8 ปีที่แล้วdiscuss

This might be right up your alley -- http://tachyons.io/ I also use a similar approach and thus love functional CSS :)

8 ปีที่แล้วdiscuss

You are seeing the Trolley Problem Dilemma[https://en.wikipedia.org/wiki/Trolley_problem] in action. Majority of respondents when asked that problem would choose to let a few people die to save a larger number of people. Emphasis being on "let a few people die" and not "kill a few people", machines (i.e. lever in that problem and autonomous car in this scenario) somehow evoke a more logical and less emotional response, I guess machines create an emotional distance between the people who would die and the respondent. If the same respondents would somehow feel more responsible for the death, i.e. the machine is removed from the scenario the response would be much different.

Not implying that the lack of empathy is in anyway acceptable, but people should know that when machines are involved in such scenarios it is much easier for them to distance themselves emotionally, this is not new, weapons are a prime example of this. Maybe by knowing this dilemma people can react better to such tragedies.

I hope people show more empathy knowing this.

8 ปีที่แล้วdiscuss

I have no intention of starting or getting into a flame war between Ruby and Python, both are great languages but I can help with the Python tooling a bit. The Python equivalent of rvm is pyenv (https://github.com/pyenv/pyenv/blob/master/README.md) and to install dependencies and handle virtual environments after that you can use pipenv (https://github.com/pypa/pipenv). Both of them together will get you almost similar experience to the Ruby tooling example you ended the post with.

I love why the lucky stiff's writing, I love POODR (http://www.poodr.com/) and the two languages have a lot in common if you just keep an open mind about it :)