recentpopularlog in

nhaliday : jvm   56

CppCon 2014: Chandler Carruth "Efficiency with Algorithms, Performance with Data Structures" - YouTube
- idk how I feel about this
- makes a distinction between efficiency (basically asymptotic complexity, "doing less work") and performance ("doing that work faster"). idiosyncratic terminology but similar to the "two performance aesthetics" described here: https://pinboard.in/u:nhaliday/b:913a284640c5
- some bikeshedding about vector::reserve and references
- "discontiguous data structures are the root of all evil" (cache-locality, don't use linked lists, etc)
- stacks? queues? just use vector. also suggests circular buffers. says std::deque is really bad
- std::map is bad too (for real SWE, not oly-programming). if you want ordered associative container, just binary search in vector
- std::unordered_map is poorly implemented, unfortunately (due to requirement for buckets in API)
- good implementation of hash table uses open addressing and local (linear?) probing
video  presentation  performance  nitty-gritty  best-practices  working-stiff  programming  c(pp)  systems  data-structures  algorithms  jvm  pls  metal-to-virtual  stylized-facts  rhetoric  expert-experience  google  llvm  efficiency  time-complexity  mobile  computer-memory  caching  oly-programming  common-case  hashing  multi  energy-resources  methodology  trees  techtariat  local-global 
october 2019 by nhaliday
Python Tutor - Visualize Python, Java, C, C++, JavaScript, TypeScript, and Ruby code execution
C++ support but not STL

Ten years and nearly ten million users: my experience being a solo maintainer of open-source software in academia: http://www.pgbovine.net/python-tutor-ten-years.htm
I HYPERFOCUS ON ONE SINGLE USE CASE
I (MOSTLY*) DON'T LISTEN TO USER REQUESTS
I (MOSTLY*) REFUSE TO EVEN TALK TO USERS
I DON'T DO ANY MARKETING OR COMMUNITY OUTREACH
I KEEP EVERYTHING STATELESS
I DON'T WORRY ABOUT PERFORMANCE OR RELIABILITY
I USE SUPER OLD AND STABLE TECHNOLOGIES
I DON'T MAKE IT EASY FOR OTHERS TO USE MY CODE
FINALLY, I DON'T LET OTHER PEOPLE CONTRIBUTE CODE
UNINSPIRATIONAL PARTING THOUGHTS
APPENDIX: ON OPEN-SOURCE SOFTWARE MAINTENANCE
tools  devtools  worrydream  ux  hci  research  project  homepage  python  programming  c(pp)  javascript  jvm  visualization  software  internet  web  debugging  techtariat  state  form-design  multi  reflection  oss  shipping  community  collaboration  marketing  ubiquity  robust  worse-is-better/the-right-thing  links  performance  engineering  summary  list  top-n  pragmatic  cynicism-idealism 
september 2019 by nhaliday
Call graph - Wikipedia
I've found both static and dynamic versions useful (former mostly when I don't want to go thru pain of compiling something)

best options AFAICT:

C/C++ and maybe Go: https://github.com/gperftools/gperftools
https://gperftools.github.io/gperftools/cpuprofile.html

static: https://github.com/Vermeille/clang-callgraph
https://stackoverflow.com/questions/5373714/how-to-generate-a-calling-graph-for-c-code
I had to go through some extra pain to get this to work:
- if you use Homebrew LLVM (that's slightly incompatible w/ macOS c++filt, make sure to pass -n flag)
- similarly macOS sed needs two extra backslashes for each escape of the angle brackets

another option: doxygen

Go: https://stackoverflow.com/questions/31362332/creating-call-graph-in-golang
both static and dynamic in one tool

Java: https://github.com/gousiosg/java-callgraph
both static and dynamic in one tool

Python:
https://github.com/gak/pycallgraph
more up-to-date forks: https://github.com/daneads/pycallgraph2 and https://github.com/YannLuo/pycallgraph
old docs: https://pycallgraph.readthedocs.io/en/master/
I've had some trouble getting nice output from this (even just getting the right set of nodes displayed, not even taking into account layout and formatting).
- Argument parsing syntax is idiosyncratic. Just read `pycallgraph --help`.
- Options -i and -e take glob patterns (see pycallgraph2/{tracer,globbing_filter}.py), which are applied the function names qualified w/ module paths.
- Functions defined in the script you are running receive no module path. There is no easy way to filter for them using the -i and -e options.
- The --debug option gives you the graphviz for your own use instead of just writing the final image produced.

static: https://github.com/davidfraser/pyan
more up-to-date fork: https://github.com/itsayellow/pyan/
one way to good results: `pyan -dea --format yed $MODULE_FILES > output.graphml`, then open up in yEd and use hierarchical layout

various: https://github.com/jrfonseca/gprof2dot

I believe all the dynamic tools listed here support weighting nodes and edges by CPU time/samples (inclusive and exclusive of descendants) and discrete calls. In the case of the gperftools and the Java option you probably have to parse the output to get the latter, tho.

IIRC Dtrace has probes for function entry/exit. So that's an option as well.

old pin: https://github.com/nst/objc_dep
Graph the import dependancies in an Objective-C project
concept  wiki  reference  tools  devtools  graphs  trees  programming  code-dive  let-me-see  big-picture  libraries  software  recommendations  list  top-n  links  c(pp)  golang  python  javascript  jvm  stackex  q-n-a  howto  yak-shaving  visualization  dataviz  performance  structure  oss  osx  unix  linux  static-dynamic  repo  cocoa 
july 2019 by nhaliday
Mutation testing - Wikipedia
Mutation testing involves modifying a program in small ways.[1] Each mutated version is called a mutant and tests detect and reject mutants by causing the behavior of the original version to differ from the mutant. This is called killing the mutant. Test suites are measured by the percentage of mutants that they kill. New tests can be designed to kill additional mutants.
wiki  reference  concept  mutation  selection  analogy  programming  checking  formal-methods  debugging  random  list  libraries  links  functional  haskell  javascript  jvm  c(pp)  python  dotnet  oop  perturbation  static-dynamic 
july 2019 by nhaliday
From Java 8 to Java 11 - Quick Guide - Codete blog
notable:
jshell, Optional methods, var (type inference), {List,Set,Map}.copyOf, `java $PROGRAM.java` execution
programming  cheatsheet  reference  comparison  jvm  pls  oly-programming  gotchas  summary  flux-stasis  marginal  org:com 
july 2019 by nhaliday
Which of Haskell and OCaml is more practical? For example, in which aspect will each play a key role? - Quora
- Tikhon Jelvis,

Haskell.

This is a question I'm particularly well-placed to answer because I've spent quite a bit of time with both Haskell and OCaml, seeing both in the real world (including working at Jane Street for a bit). I've also seen the languages in academic settings and know many people at startups using both languages. This gives me a good perspective on both languages, with a fairly similar amount of experience in the two (admittedly biased towards Haskell).

And so, based on my own experience rather than the languages' reputations, I can confidently say it's Haskell.

Parallelism and Concurrency

...

Libraries

...

Typeclasses vs Modules

...

In some sense, OCaml modules are better behaved and founded on a sounder theory than Haskell typeclasses, which have some serious drawbacks. However, the fact that typeclasses can be reliably inferred whereas modules have to be explicitly used all the time more than makes up for this. Moreover, extensions to the typeclass system enable much of the power provided by OCaml modules.

...

Of course, OCaml has some advantages of its own as well. It has a performance profile that's much easier to predict. The module system is awesome and often missed in Haskell. Polymorphic variants can be very useful for neatly representing certain situations, and don't have an obvious Haskell analog.

While both languages have a reasonable C FFI, OCaml's seems a bit simpler. It's hard for me to say this with any certainty because I've only used the OCaml FFI myself, but it was quite easy to use—a hard bar for Haskell's to clear. One really nice use of modules in OCaml is to pass around values directly from C as abstract types, which can help avoid extra marshalling/unmarshalling; that seemed very nice in OCaml.

However, overall, I still think Haskell is the more practical choice. Apart from the reasoning above, I simply have my own observations: my Haskell code tends to be clearer, simpler and shorter than my OCaml code. I'm also more productive in Haskell. Part of this is certainly a matter of having more Haskell experience, but the delta is limited especially as I'm working at my third OCaml company. (Of course, the first two were just internships.)

Both Haskell and OCaml are uniquivocally superb options—miles ahead of any other languages I know. While I do prefer Haskell, I'd choose either one in a pinch.

--
I've looked at F# a bit, but it feels like it makes too many tradeoffs to be on .NET. You lose the module system, which is probably OCaml's best feature, in return for an unfortunate, nominally typed OOP layer.

I'm also not invested in .NET at all: if anything, I'd prefer to avoid it in favor of simplicity. I exclusively use Linux and, from the outside, Mono doesn't look as good as it could be. I'm also far more likely to interoperate with a C library than a .NET library.

If I had some additional reason to use .NET, I'd definitely go for F#, but right now I don't.

https://www.reddit.com/r/haskell/comments/3huexy/what_are_haskellers_critiques_of_f_and_ocaml/
https://www.reddit.com/r/haskell/comments/3huexy/what_are_haskellers_critiques_of_f_and_ocaml/cub5mmb/
Thinking about it now, it boils down to a single word: expressiveness. When I'm writing OCaml, I feel more constrained than when I'm writing Haskell. And that's important: unlike so many others, what first attracted me to Haskell was expressiveness, not safety. It's easier for me to write code that looks how I want it to look in Haskell. The upper bound on code quality is higher.

...

Perhaps it all boils down to OCaml and its community feeling more "worse is better" than Haskell, something I highly disfavor.

...

Laziness or, more strictly, non-strictness is big. A controversial start, perhaps, but I stand by it. Unlike some, I do not see non-strictness as a design mistake but as a leap in abstraction. Perhaps a leap before its time, but a leap nonetheless. Haskell lets me program without constantly keeping the code's order in my head. Sure, it's not perfect and sometimes performance issues jar the illusion, but they are the exception not the norm. Coming from imperative languages where order is omnipresent (I can't even imagine not thinking about execution order as I write an imperative program!) it's incredibly liberating, even accounting for the weird issues and jinks I'd never see in a strict language.

This is what I imagine life felt like with the first garbage collectors: they may have been slow and awkward, the abstraction might have leaked here and there, but, for all that, it was an incredible advance. You didn't have to constantly think about memory allocation any more. It took a lot of effort to get where we are now and garbage collectors still aren't perfect and don't fit everywhere, but it's hard to imagine the world without them. Non-strictness feels like it has the same potential, without anywhere near the work garbage collection saw put into it.

...

The other big thing that stands out are typeclasses. OCaml might catch up on this front with implicit modules or it might not (Scala implicits are, by many reports, awkward at best—ask Edward Kmett about it, not me) but, as it stands, not having them is a major shortcoming. Not having inference is a bigger deal than it seems: it makes all sorts of idioms we take for granted in Haskell awkward in OCaml which means that people simply don't use them. Haskell's typeclasses, for all their shortcomings (some of which I find rather annoying), are incredibly expressive.

In Haskell, it's trivial to create your own numeric type and operators work as expected. In OCaml, while you can write code that's polymorphic over numeric types, people simply don't. Why not? Because you'd have to explicitly convert your literals and because you'd have to explicitly open a module with your operators—good luck using multiple numeric types in a single block of code! This means that everyone uses the default types: (63/31-bit) ints and doubles. If that doesn't scream "worse is better", I don't know what does.

...

There's more. Haskell's effect management, brought up elsewhere in this thread, is a big boon. It makes changing things more comfortable and makes informal reasoning much easier. Haskell is the only language where I consistently leave code I visit better than I found it. Even if I hadn't worked on the project in years. My Haskell code has better longevity than my OCaml code, much less other languages.

http://blog.ezyang.com/2011/02/ocaml-gotchas/
One observation about purity and randomness: I think one of the things people frequently find annoying in Haskell is the fact that randomness involves mutation of state, and thus be wrapped in a monad. This makes building probabilistic data structures a little clunkier, since you can no longer expose pure interfaces. OCaml is not pure, and as such you can query the random number generator whenever you want.

However, I think Haskell may get the last laugh in certain circumstances. In particular, if you are using a random number generator in order to generate random test cases for your code, you need to be able to reproduce a particular set of random tests. Usually, this is done by providing a seed which you can then feed back to the testing script, for deterministic behavior. But because OCaml's random number generator manipulates global state, it's very easy to accidentally break determinism by asking for a random number for something unrelated. You can work around it by manually bracketing the global state, but explicitly handling the randomness state means providing determinism is much more natural.
q-n-a  qra  programming  pls  engineering  nitty-gritty  pragmatic  functional  haskell  ocaml-sml  dotnet  types  arrows  cost-benefit  tradeoffs  concurrency  libraries  performance  expert-experience  composition-decomposition  comparison  critique  multi  reddit  social  discussion  techtariat  reflection  review  random  data-structures  numerics  rand-approx  sublinear  syntax  volo-avolo  causation  scala  jvm  ecosystem  metal-to-virtual 
june 2019 by nhaliday
The End of the Editor Wars » Linux Magazine
Moreover, even if you assume a broad margin of error, the pollings aren't even close. With all the various text editors available today, Vi and Vim continue to be the choice of over a third of users, while Emacs well back in the pack, no longer a competitor for the most popular text editor.

https://www.quora.com/Are-there-more-Emacs-or-Vim-users
I believe Vim is actually more popular, but it's hard to find any real data on it. The best source I've seen is the annual StackOverflow developer survey where 15.2% of developers used Vim compared to a mere 3.2% for Emacs.

Oddly enough, the report noted that "Data scientists and machine learning developers are about 3 times more likely to use Emacs than any other type of developer," which is not necessarily what I would have expected.

[ed. NB: Vim still dominates overall.]

https://pinboard.in/u:nhaliday/b:6adc1b1ef4dc

Time To End The vi/Emacs Debate: https://cacm.acm.org/blogs/blog-cacm/226034-time-to-end-the-vi-emacs-debate/fulltext

Vim, Emacs and their forever war. Does it even matter any more?: https://blog.sourcerer.io/vim-emacs-and-their-forever-war-does-it-even-matter-any-more-697b1322d510
Like an episode of “Silicon Valley”, a discussion of Emacs vs. Vim used to have a polarizing effect that would guarantee a stimulating conversation, regardless of an engineer’s actual alignment. But nowadays, diehard Emacs and Vim users are getting much harder to find. Maybe I’m in the wrong orbit, but looking around today, I see that engineers are equally or even more likely to choose any one of a number of great (for any given definition of ‘great’) modern editors or IDEs such as Sublime Text, Visual Studio Code, Atom, IntelliJ (… or one of its siblings), Brackets, Visual Studio or Xcode, to name a few. It’s not surprising really — many top engineers weren’t even born when these editors were at version 1.0, and GUIs (for better or worse) hadn’t been invented.

...

… both forums have high traffic and up-to-the-minute comment and discussion threads. Some of the available statistics paint a reasonably healthy picture — Stackoverflow’s 2016 developer survey ranks Vim 4th out of 24 with 26.1% of respondents in the development environments category claiming to use it. Emacs came 15th with 5.2%. In combination, over 30% is, actually, quite impressive considering they’ve been around for several decades.

What’s odd, however, is that if you ask someone — say a random developer — to express a preference, the likelihood is that they will favor for one or the other even if they have used neither in anger. Maybe the meme has spread so widely that all responses are now predominantly ritualistic, and represent something more fundamental than peoples’ mere preference for an editor? There’s a rather obvious political hypothesis waiting to be made — that Emacs is the leftist, socialist, centralized state, while Vim represents the right and the free market, specialization and capitalism red in tooth and claw.

How is Emacs/Vim used in companies like Google, Facebook, or Quora? Are there any libraries or tools they share in public?: https://www.quora.com/How-is-Emacs-Vim-used-in-companies-like-Google-Facebook-or-Quora-Are-there-any-libraries-or-tools-they-share-in-public
In Google there's a fair amount of vim and emacs. I would say at least every other engineer uses one or another.

Among Software Engineers, emacs seems to be more popular, about 2:1. Among Site Reliability Engineers, vim is more popular, about 9:1.
--
People use both at Facebook, with (in my opinion) slightly better tooling for Emacs than Vim. We share a master.emacs and master.vimrc file, which contains the bare essentials (like syntactic highlighting for the Hack language). We also share a Ctags file that's updated nightly with a cron script.

Beyond the essentials, there's a group for Emacs users at Facebook that provides tips, tricks, and major-modes created by people at Facebook. That's where Adam Hupp first developed his excellent mural-mode (ahupp/mural), which does for Ctags what iDo did for file finding and buffer switching.
--
For emacs, it was very informal at Google. There wasn't a huge community of Emacs users at Google, so there wasn't much more than a wiki and a couple language styles matching Google's style guides.

https://trends.google.com/trends/explore?date=all&geo=US&q=%2Fm%2F07zh7,%2Fm%2F01yp0m

https://www.quora.com/Why-is-interest-in-Emacs-dropping
And it is still that. It’s just that emacs is no longer unique, and neither is Lisp.

Dynamically typed scripting languages with garbage collection are a dime a dozen now. Anybody in their right mind developing an extensible text editor today would just use python, ruby, lua, or JavaScript as the extension language and get all the power of Lisp combined with vibrant user communities and millions of lines of ready-made libraries that Stallman and Steele could only dream of in the 70s.

In fact, in many ways emacs and elisp have fallen behind: 40 years after Lambda, the Ultimate Imperative, elisp is still dynamically scoped, and it still doesn’t support multithreading — when I try to use dired to list the files on a slow NFS mount, the entire editor hangs just as thoroughly as it might have in the 1980s. And when I say “doesn’t support multithreading,” I don’t mean there is some other clever trick for continuing to do work while waiting on a system call, like asynchronous callbacks or something. There’s start-process which forks a whole new process, and that’s about it. It’s a concurrency model straight out of 1980s UNIX land.

But being essentially just a decent text editor has robbed emacs of much of its competitive advantage. In a world where every developer tool is scriptable with languages and libraries an order of magnitude more powerful than cranky old elisp, the reason to use emacs is not that it lets a programmer hit a button and evaluate the current expression interactively (which must have been absolutely amazing at one point in the past).

https://www.reddit.com/r/emacs/comments/bh5kk7/why_do_many_new_users_still_prefer_vim_over_emacs/

more general comparison, not just popularity:
Differences between Emacs and Vim: https://stackoverflow.com/questions/1430164/differences-between-Emacs-and-vim

https://www.reddit.com/r/emacs/comments/9hen7z/what_are_the_benefits_of_emacs_over_vim/

https://unix.stackexchange.com/questions/986/what-are-the-pros-and-cons-of-vim-and-emacs

https://www.quora.com/Why-is-Vim-the-programmers-favorite-editor
- Adrien Lucas Ecoffet,

Because it is hard to use. Really.

However, the second part of this sentence applies to just about every good editor out there: if you really learn Sublime Text, you will become super productive. If you really learn Emacs, you will become super productive. If you really learn Visual Studio… you get the idea.

Here’s the thing though, you never actually need to really learn your text editor… Unless you use vim.

...

For many people new to programming, this is the first time they have been a power user of… well, anything! And because they’ve been told how great Vim is, many of them will keep at it and actually become productive, not because Vim is particularly more productive than any other editor, but because it didn’t provide them with a way to not be productive.

They then go on to tell their friends how great Vim is, and their friends go on to become power users and tell their friends in turn, and so forth. All these people believe they became productive because they changed their text editor. Little do they realize that they became productive because their text editor changed them[1].

This is in no way a criticism of Vim. I myself was a beneficiary of such a phenomenon when I learned to type using the Dvorak layout: at that time, I believed that Dvorak would help you type faster. Now I realize the evidence is mixed and that Dvorak might not be much better than Qwerty. However, learning Dvorak forced me to develop good typing habits because I could no longer rely on looking at my keyboard (since I was still using a Qwerty physical keyboard), and this has made me a much more productive typist.

Technical Interview Performance by Editor/OS/Language: https://triplebyte.com/blog/technical-interview-performance-by-editor-os-language
[ed.: I'm guessing this is confounded to all hell.]

The #1 most common editor we see used in interviews is Sublime Text, with Vim close behind.

Emacs represents a fairly small market share today at just about a quarter the userbase of Vim in our interviews. This nicely matches the 4:1 ratio of Google Search Trends for the two editors.

...

Vim takes the prize here, but PyCharm and Emacs are close behind. We’ve found that users of these editors tend to pass our interview at an above-average rate.

On the other end of the spectrum is Eclipse: it appears that someone using either Vim or Emacs is more than twice as likely to pass our technical interview as an Eclipse user.

...

In this case, we find that the average Ruby, Swift, and C# users tend to be stronger, with Python and Javascript in the middle of the pack.

...

Here’s what happens after we select engineers to work with and send them to onsites:

[Python does best.]

There are no wild outliers here, but let’s look at the C++ segment. While C++ programmers have the most challenging time passing Triplebyte’s technical interview on average, the ones we choose to work with tend to have a relatively easier time getting offers at each onsite.

The Rise of Microsoft Visual Studio Code: https://triplebyte.com/blog/editor-report-the-rise-of-visual-studio-code
This chart shows the rates at which each editor's users pass our interview compared to the mean pass rate for all candidates. First, notice the preeminence of Emacs and Vim! Engineers who use these editors pass our interview at significantly higher rates than other engineers. And the effect size is not small. Emacs users pass our interview at a rate 50… [more]
news  linux  oss  tech  editors  devtools  tools  comparison  ranking  flux-stasis  trends  ubiquity  unix  increase-decrease  multi  q-n-a  qra  data  poll  stackex  sv  facebook  google  integration-extension  org:med  politics  stereotypes  coalitions  decentralized  left-wing  right-wing  chart  scale  time-series  distribution  top-n  list  discussion  ide  parsimony  intricacy  cost-benefit  tradeoffs  confounding  analysis  crosstab  pls  python  c(pp)  jvm  microsoft  golang  hmm  correlation  debate  critique  quora  contrarianism  ecosystem  DSL  techtariat  org:com  org:nat  cs 
june 2019 by nhaliday
What makes Java easier to parse than C? - Stack Overflow
Parsing C++ is getting hard. Parsing Java is getting to be just as hard

cf the Linked questions too, lotsa good stuff
q-n-a  stackex  compilers  pls  plt  jvm  c(pp)  intricacy  syntax  automata-languages  cost-benefit  incentives  legacy 
may 2019 by nhaliday
Continuous Code Quality | SonarSource
they have cyclomatic complexity rule
$150/year for dev edition (needed for C++ but not Java/Python)
devtools  software  ruby  saas  programming  python  checking  c(pp)  jvm  structure  intricacy  graphs  golang  scala  metrics  javascript  dotnet  quality  static-dynamic 
may 2019 by nhaliday
language design - Why does C++ need a separate header file? - Stack Overflow
C++ does it that way because C did it that way, so the real question is why did C do it that way? Wikipedia speaks a little to this.

Newer compiled languages (such as Java, C#) do not use forward declarations; identifiers are recognized automatically from source files and read directly from dynamic library symbols. This means header files are not needed.
q-n-a  stackex  programming  pls  c(pp)  compilers  trivia  roots  yak-shaving  flux-stasis  comparison  jvm  code-organizing 
may 2019 by nhaliday
c++ - Why are forward declarations necessary? - Stack Overflow
C++, while created almost 17 years later, was defined as a superset of C, and therefore had to use the same mechanism.

By the time Java rolled around in 1995, average computers had enough memory that holding a symbolic table, even for a complex project, was no longer a substantial burden. And Java wasn't designed to be backwards-compatible with C, so it had no need to adopt a legacy mechanism. C# was similarly unencumbered.

As a result, their designers chose to shift the burden of compartmentalizing symbolic declaration back off the programmer and put it on the computer again, since its cost in proportion to the total effort of compilation was minimal.
q-n-a  stackex  programming  pls  c(pp)  trivia  yak-shaving  roots  compilers  flux-stasis  comparison  jvm  static-dynamic 
may 2019 by nhaliday
maintenance - Why do dynamic languages make it more difficult to maintain large codebases? - Software Engineering Stack Exchange
Now here is the key point I have been building up to: there is a strong correlation between a language being dynamically typed and a language also lacking all the other facilities that make lowering the cost of maintaining a large codebase easier, and that is the key reason why it is more difficult to maintain a large codebase in a dynamic language. And similarly there is a correlation between a language being statically typed and having facilities that make programming in the larger easier.
programming  worrydream  plt  hmm  comparison  pls  carmack  techtariat  types  engineering  productivity  pro-rata  input-output  correlation  best-practices  composition-decomposition  error  causation  confounding  devtools  jvm  scala  open-closed  cost-benefit  static-dynamic  design  system-design 
may 2019 by nhaliday
Stack Overflow Developer Survey 2018
Rust, Python, Go in top most loved
F#/OCaml most high paying globally, Erlang/Scala/OCaml in the US (F# still in top 10)
ML specialists high-paid
editor usage: VSCode > VS > Sublime > Vim > Intellij >> Emacs
ranking  list  top-n  time-series  data  database  programming  engineering  pls  trends  stackex  poll  career  exploratory  network-structure  ubiquity  ocaml-sml  rust  golang  python  dotnet  money  jobs  compensation  erlang  scala  jvm  ai  ai-control  risk  futurism  ethical-algorithms  data-science  machine-learning  editors  devtools  tools  pro-rata  org:com  software  analysis  article  human-capital  let-me-see  expert-experience  complement-substitute 
december 2018 by nhaliday
Which benchmark programs are faster? | Computer Language Benchmarks Game
old:
https://salsa.debian.org/benchmarksgame-team/archive-alioth-benchmarksgame
https://web.archive.org/web/20170331153459/http://benchmarksgame.alioth.debian.org/
includes Scala

very outdated but more languages: https://web.archive.org/web/20110401183159/http://shootout.alioth.debian.org:80/

OCaml seems to offer the best tradeoff of performance vs parsimony (Haskell not so much :/)
https://blog.chewxy.com/2019/02/20/go-is-average/
http://blog.gmarceau.qc.ca/2009/05/speed-size-and-dependability-of.html
old official: https://web.archive.org/web/20130731195711/http://benchmarksgame.alioth.debian.org/u64q/code-used-time-used-shapes.php
https://web.archive.org/web/20121125103010/http://shootout.alioth.debian.org/u64q/code-used-time-used-shapes.php
Haskell does better here

other PL benchmarks:
https://github.com/kostya/benchmarks
BF 2.0:
Kotlin, C++ (GCC), Rust < Nim, D (GDC,LDC), Go, MLton < Crystal, Go (GCC), C# (.NET Core), Scala, Java, OCaml < D (DMD) < C# Mono < Javascript V8 < F# Mono, Javascript Node, Haskell (MArray) << LuaJIT << Python PyPy < Haskell < Racket <<< Python << Python3
mandel.b:
C++ (GCC) << Crystal < Rust, D (GDC), Go (GCC) < Nim, D (LDC) << C# (.NET Core) < MLton << Kotlin << OCaml << Scala, Java << D (DMD) << Go << C# Mono << Javascript Node << Haskell (MArray) << LuaJIT < Python PyPy << F# Mono <<< Racket
https://github.com/famzah/langs-performance
C++, Rust, Java w/ custom non-stdlib code < Python PyPy < C# .Net Core < Javscript Node < Go, unoptimized C++ (no -O2) << PHP << Java << Python3 << Python
comparison  pls  programming  performance  benchmarks  list  top-n  ranking  systems  time  multi  🖥  cost-benefit  tradeoffs  data  analysis  plots  visualization  measure  intricacy  parsimony  ocaml-sml  golang  rust  jvm  javascript  c(pp)  functional  haskell  backup  scala  realness  generalization  accuracy  techtariat  crosstab  database  repo  objektbuch  static-dynamic  gnu  mobile 
december 2018 by nhaliday
How to pass a programming interview - Triplebyte
Mostly intuitive (eg, I had also planned to interview in reverse order and use Python but mention C++ experience), but still very good advice. Summoning/faking enthusiasm will prob be hardest part for me.
programming  career  jobs  tech  recruiting  advice  checklists  working-stiff  interview-prep  system-design  minimum-viable  pls  jvm  python  c(pp)  practice  education  signaling  judgement  prioritizing  list  top-n  metabuch  objektbuch  🖥  transitions  techtariat  org:com 
march 2016 by nhaliday

Copy this bookmark:





to read