What’s a good small laptop that’ll run a recent Linux distro? I’d like to get one to have an ultra-portable machine for doing lightweight development work - I don’t need much more than a text editor and a C compiler.
Would a second-hand 11” MacBook Air or 12” MacBook be a good choice?
So is LuaJIT resuming active development after a decade or so of only maintenance? Great!
A lot of these changes make sense (although some of them are a bit too TIMTOWTDI for my taste) - but perhaps LuaJIT 3 would benefit from a change of name as well? Certainly with all these changes, it would be more like a separate language than merely a JIT-compiled version of Lua.
How does it handle garbage collection? AFAIK GC is the main reason behind Lua's stack-based API: it's designed so that C code never needs to hold a pointer to a Lua object, which means an object will never be garbage-collected while C code is still trying to use it.
OTOH Python does allow C code to hold such pointers - so it requires that code to perform error-prone manual reference-counting.
> they intended to make it compatible with existing Python code
That was the original claim, but it was quietly removed from the website. (Did they fall for the common “Python is a simple language” misconception?).
Now they promise I can “write like Python”, but don’t even support fundamentals like classes (which are part of stage 3 of the roadmap, but they’re still working on stage 1).
Maybe Mojo will achieve all its goals, but so far has been over-promising and under-delivering - it’s starting to remind me of the V language.
The PEP for this change is here [0] and discussion of it is here [1]. Both are very long and seem to represent a huge amount of complexity, apparently to make installing Python easier for novices?
But what about those of us who listened to Rich Hickey and prefer "simple" over "easy"? With the executable installer no longer available, how do I get a copy of python.exe, python316.dll etc onto my machine so that `C:\Python316\python.exe <script>` works, without having to think about `py`, `pymanager`, Windows Store etc?
In a similar vein, see this page about the performance of the interpreter for the dynamic language Wren: https://wren.io/performance.html
Unlike the Zef article, which describes implementation techniques, the Wren page also shows ways in which language design can contribute to performance.
In particular, Wren gives up dynamic object shapes, which enables copy-down inheritance and substantially simplifies (and hence accelerates) method lookup. Personally I think that’s a good trade-off - how often have you really needed to add a method to a class after construction?
> all the encoding/decoding functions default to utf-8
Languages that use UTF-8 natively don't need those functions at all. And the ones in Python aren't trivial - see, for example, `surrogateescape`.
As the sibling comment says, the only benefit of all this encoding/decoding is that it allows strings to support constant-time indexing of code points, which isn't something that's commonly needed.
The funding was Microsoft employing most of the team. They were laid off (or at least, moved onto different projects), apparently because they weren't working on AI.
The Python devs didn’t want to make huge changes because they were worried Python 3 would end up taking forever like Perl 6. Instead they went to the other extreme and broke everyone’s code for trivial reasons and minimal benefit, which meant no-one wanted to upgrade.
Even the main driver for Python 3, the bytes-Unicode split, has unfortunately turned out to be sub-optimal. Python essentially bet on UTF-32 (with space-saving optimisations), while everyone else has chosen UTF-8.
Python’s backward compatibility story still isn’t great compared to things like the Go 1.x compatibility promise, and languages with formal specs like JS and C.
The Python devs still make breaking changes, they’ve just learned not to update the major version number when they do so.