Erlang is a programming language designed at the Ericsson Computer Science Laboratory. Open-source Erlang is being released to help encourage the spread of Erlang outside Ericsson.

Elixir is a functional meta-programming aware language built on top of the Erlang VM. It is a dynamic language with flexible syntax with macros support that leverages Erlang's abilities to build concurrent, distributed, fault-tolerant applications with hot code upgrades.

Elixir also provides first-class support for pattern matching, polymorphism via protocols (similar to Clojure's), aliases and associative data structures (usually known as dicts or hashes in other programming languages).

Finally, Elixir and Erlang share the same bytecode and data types. This means you can invoke Erlang code from Elixir (and vice-versa) without any conversion or performance hit. This allows a developer to mix the expressiveness of Elixir with the robustness and performance of Erlang.

This project is where erlang package is actually being developed.

See also: http://lists.opensuse.org/opensuse-packaging/2013-04/msg00240.html

PLEASE, don't auto-follow requests to the openSUSE:Factory, until you are sure that devel:languages:erlang/bleeding_edge_erlang_Factory is fine.

Erlang is a general-purpose programming language and runtime environment. Erlang has built-in support for concurrency, distribution and fault tolerance. Erlang is used in several large telecommunication systems from Ericsson.

Erlang is a general-purpose programming language and runtime environment. Erlang has built-in support for concurrency, distribution and fault tolerance. Erlang is used in several large telecommunication systems from Ericsson.

Instead of writing imperative code to parse a piece of data, you declaratively define a data structure that describes your data. As this data structure is not code, you can use it in one direction to parse data into Pythonic objects, and in the other direction, convert ("build") objects into binary data.

The library provides both simple, atomic constructs (such as integers of various sizes), as well as composite ones which allow you form hierarchical structures of increasing complexity. Construct features bit and byte granularity, easy debugging and testing, an easy-to-extend subclass system, and lots of primitive constructs to make your work easier:

Fields: raw bytes or numerical types
Structs and Sequences: combine simpler constructs into more complex ones
Adapters: change how data is represented
Arrays/Ranges: duplicate constructs
Meta-constructs: use the context (history) to compute the size of data
If/Switch: branch the computational path based on the context
On-demand (lazy) parsing: read only what you require
Pointers: jump from here to there in the data stream

Python module to parse Erlang BEAM files.