Nim 2.0
The Nim team is proud and happy to announce Nim version 2.0.
The Nim programming language is a concise, fast programming language that compiles to C, C++ and JavaScript.
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The Nim team is proud and happy to announce Nim version 2.0.
Nim version 1.6 is now officially released!
We are very proud to announce Nim version 1.4 after six months of continuous development! Other than version 1.0, this is probably the biggest Nim release yet and we’re very excited to release it!
ORC - Algorithmic Advantages
The second release candidate (RC2) for Nim version 2.0 is ready for testing.
What do ParaSail, "modern" C++ and Rust have in common? They focus on "pointer free programming" (ok, maybe Rust doesn't, but it uses similar mechanisms). In this blog post I am exploring how we can move Nim into this direction. My goals are:
The Nim team is happy to announce version 1.6.2, our first patch release for Nim 1.6.
The Nim programming language is a concise, fast programming language that compiles to C, C++ and JavaScript.
This blog post is the beginning of a cost model for the implementation that is available via `Nim devel` aka Nim version 2.
A lot has happened in the Nim world in 2020: two new major releases, two new memory managements strategies (ARC and ORC), the first Nim conference, and much more.
The first release candidate for Nim version 2.0 is ready for testing.
The Nim programming language is a concise, fast programming language that compiles to C, C++ and JavaScript.
The Nim Team is happy to announce version 2.2.6, the third patch release for our stable release, Nim 2.2.
Nim fusion and pattern matching
The Nim programming language is a concise, fast programming language that compiles to C, C++ and JavaScript.
The Nim programming language is a concise, fast programming language that compiles to C, C++ and JavaScript.
The Nim team is happy to announce version 1.6.6, our third patch release for Nim 1.6.
The Nim team is happy to announce the double patch release of versions 1.2.10 and 1.4.4.
Nim is in an excellent position to “get married” with static analysis, and it doesn’t have to be based on some intermediate representation but can achieve a solution more similar to Spark.
Nim is advancing towards more efficient memory management models. Let's talk about ARC/ORC and see how they will change the way memory works in Nim.