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#programminglanguages

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I'm starting a series of blog posts, in which I write a #bytecode #compiler and a #virtualMachine for arithmetic in #Haskell. We explore the following topics in the series:

- Parsing arithmetic expressions to ASTs.
- Compiling ASTs to bytecode.
- Interpreting ASTs.
- Efficiently executing bytecode in a VM.
- Disassembling bytecode and decompiling opcodes for debugging and testing.
- Unit testing and property-based testing for our compiler and VM.
- Benchmarking our code to see how the different passes perform.
- All the while keeping an eye on performance.

The first post of the series that focuses on writing the #parser is now out: abhinavsarkar.net/posts/arithm

abhinavsarkar.net · A Bytecode VM for Arithmetic: The Parser
Plus via Abhinav 🌏

I want to read a #compiler book written in the last 15 years that covers same topics as the Modern Compiler Implementation book by Appel, but uses recent terminology, tools and techniques. Any recommendations? #compilers #programminglanguages

EDIT: It seems like no such book exists. I guess I’ll have to read docs, blogs and papers along with old books to put things together myself.

“Hedge funds will go to great lengths in pursuit of #profits, whether it is by counting cars in satellite photos of parking lots or shipping gold across the Atlantic. Building a #compiler—a piece of #software that turns human-written code into programs a computer can execute—for your homegrown language? That still raises eyebrows.

#JaneStreet is the quant shops’ quant shop, and it does just that, with great success. Last year its trading revenue almost doubled, to $21bn, putting it on a par with giants such as #Citigroup and #MorganStanley. And the goose that lays the golden egg is its #tech system.

But it is what this system is built from that is really unusual. Other firms employ a hotchpotch of #ProgrammingLanguages, allowing staff to choose the right one for the job. At Jane Street almost everyone works in an obscure tongue developed by French academics: #OCaml.

Ask a #trader at the firm for its benefits and they will reel off a string of features, such as its support for #StaticTyping and #FunctionalProgramming, that make it hard to learn but powerful when applied to a problem. The company says the language helps “maximise the #productivity of each person we hire”.”

#HedgeFunds / #finance <economist.com/finance-and-econ> (paywall) / <archive.md/DQ0ku>

The Economist · Jane Street’s sneaky retention tacticPar The Economist

I really enjoyed @Felienne's narrative about narratives about Computer Science yesterday. She applied some of the ideas presented in the Glaciers, Gender and Science paper (journals.sagepub.com/doi/abs/1) to her experiences in the Computer Science / Programming Languages communities. She's also starting a reading club to brainstorm the meaning (and the name?) of the field of "Computer Science".

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