Actually process-based parallelism is supported in more recent pythons, for the reason that using processes passes management largely to the OS. It's not the only way to do Parallelism but it's recommended by some. Thanks for suggesting Ocaml: have seen it recommended a lot lately, better check it out. On 18 April 2014 18:41:11 GMT+01:00, Ted Smith wrote: OCaml. [1]http://ocaml.org/ 1. OCaml is more obscure than many languages, but it supports programming in imperative, object-oriented, and functional styles (though it's obviously best suited for a functional style). I've seen people write Java in OCaml and produce clean, modular code. 2. OCaml is used in industrial environments (it's gotten pretty popular on Wall Street) and in open-source projects; the toolchain is mature and the community is vibrant. 3. OCaml is memory safe, but more importantly, it's type safe, and its type system is capable of encoding a great deal of your program's correctness. It will take some time to get your program to compile, but when it does you have a much stronger assurance that your program is correct than you do in C, C++, or Java. 4. OCaml compiles to native code; I'm not sure if deterministic builds have been done but they should be possible. 5. (Performance, the hidden elephant in every language discussion room) The OCaml team takes security seriously, and OCaml is performance-competitive with C. OCaml does tail-call elimination, so you can write programs functionally that are memory-efficient. 6. (Weaknesses) OCaml has a global lock due to its garbage collection, so parallel programming has to be done with processes. This is (IMO) cleaner than in similar situations like Python, but is obviously suboptimal. I'd highly recommend reading through this blog series, chronicling a developer picking OCaml as the language to rewrite a large Python open-source project in. It doesn't have the same focus as you, but it goes over various reasons why someone might switch to OCaml, and introduces some OCaml features: [2]http://roscidus.com/blog/blog/categories/ocaml/ On Fri, 2014-04-18 at 10:26 +0200, Stevens Le Blond wrote: Hello, We are a team of researchers working on the design and implementation of a traffic-analysis resistant anonymity network and we would like to request your opinion regarding the choice of a programming language / environment. Here are the criteria: 1) Familiarity: The language should be familiar or easy to learn for most potential contributors, as we hope to build a diverse community that builds on and contributes to the code. 2) Maturity: The language implementation, tool chain and libraries should be mature enough to support a production system. 3) Language security: The language should minimize the risk of security relevant bugs like buffer overflows. 4) Security of runtime / tool chain: It should be hard to inconspicuously backdoor the tool chain and, if applicable, runtime environments. To give two concrete examples: Using the C language + deterministic builds is an attractive option with respect to 1), 2) and 4), but doesn’t provide much regarding 3). Java does better with respect to 3), however, it trades some of 3) and 4) as compared to C. Specifically, we are concerned that large runtimes may be difficult to audit. A similar argument may apply to other interpreted languages. Given these criteria, what language would you choose and for what reasons? We would also appreciate feedback regarding our criteria. All the best, David, Nick, Peter, Stevens, and William -- Sent from my Android device with K-9 Mail. Please excuse my brevity. References 1. http://ocaml.org/ 2. http://roscidus.com/blog/blog/categories/ocaml