Nuitka Home Nuitka Home. For quite a bit, there have been no status posts, not for lack of news, but a. I just seem to post a lot more to the mailing list. I do here. Especially about unfinished stuff, which is essentially for a. Nuitka everything thats going on. Like I previously said, I am shy to make public postings about unfinished stuff. But I am breaking it, to keep you up to date with. Nuitka has been going lately. And with release focuses, I have been making some actual changes that I think. The SSA using release has been made last summer. Recent releases have lifted. And that trend is going to continue. Compile Python Into Windows Exe To Mac' title='Compile Python Into Windows Exe To Mac' />For shared variables closure variables and module variables, Nuitka is still. Oranges Cracking On Orange Tree Load on this page. Code does annotate value escapes, but. The next releases will focus on lifting that kind of. When doing my talk to Euro. Python 2. 01. 5, I was demoing it that, and indeed, what. The circumstances under which it is done are still far too. Essentially that ability is there, but will not normally be. More code generation improvements will be needed to be able to inline functions. Also the cost of inlining a function is also. It will become the focus again, once the SSA use. So there is a lot of things to do for this to really make a difference to your. But its still great to have that part solved so far. Recent releases have replaced some of the oldest code of Nuitka, the one that. That gives the C backend compiler a much easier time. Previously 3 C functions. Python level function, two of which could get really big with. Something similar was going on with variable error messages. Each had their. exception value pre computed and created at module load time. Most of these. are of course unused. Softwares/GUI2Exe_4.png' alt='Compile Python Into Windows Exe To Mac' title='Compile Python Into Windows Exe To Mac' />This has been replaced with code that generates it on. And another thing was to look after code objects, of which there often were two. Python level function. The one used or the frame during run time and. That of course was just the result of not passing that along, but created cached. Resolving that, and sharing the code object used for creation and then the frame. C code too. The scalability of Nuitka also depends much on generated code size. With the. optimization become more clever, less code is generated, and that trend will. Every time e. g. an exception is identified to not happen, this removes the. Compile Python Into Windows Exe To Mac' title='Compile Python Into Windows Exe To Mac' />C code, which then makes it easier for the. C compiler. Also more specialized code as we now have or dictionaries, is often. Important things have happened here. Full compatibility mode is planned to not. CPython. more correct line numbers, or for version differences, the best Python version. The stable release has full support for Python 3. So recent releases can pronounce it as fully supported. I am not sure, if you can fully appreciate the catch up game needed to play. CPython clearly implements a lot of features, that I have to emulate. Sources. For most Unix systems, you must download and compile the source code. The same source code archive can also be used to build the Windows and Mac versions. Installing more modules. There are as yet few distributionready packages. We recommend installing pip, which is the standard package manager of Python. Thats going to repeat for every major release. The good news is that the function type of Nuitka is now specialized to the. The generators have no more their own function creation stuff. Another focus driven from Python. To fully support Python. Good news is that the next release. I also presented this weak point to Euro. Python 2. 01. 5 and my plan on how to. Unfortunately, nothing really happened here. My plan is still to. Py. Py people have developed as vmprof. So that is not progressing, and I could need help with that definitely. Get in. contact if you think you can. The standalone mode of Nuitka was pretty good, and continued to improve further. I dont care much. This was a blast. Meeting people who knew Nuitka but not me was a regular. And many people well appreciate my work. It felt much different. I was able to present Nuitkas function in lining indeed there, and this high. I set myself, quite impressed people. Also I made many new contacts, largely with the scientific community. I hope to. find work with data scientists in the coming years. More amd more it looks like. Nuitka and my expertise in Python. Nuitka receives the occasional donation. As there is no support from organization like the. PSF, I am all on my own there. This year I want to travel to Europython 2. It would be sweet if aside of my. So please consider donating some. Nuitka. Nuitka is making more and more break through progress. And you can be a part of. Now. You can join and should do so now, just. I make, e. g. review posts of mine, test out. There is a Youtube channel of mine with all the videos of Nuitka so far. I have been preparing myself with proper equipment to make Videos of Nuitka. I do however really want to change that. Lets see if it happens. So, there is multiple things going on Type Inference. With SSA in place, Nuitka starts to recognize types, and treat things. Thats going to be a lot of work. For float and list there are very. But dict is the. hardest case, and to get the structure of shape tracing right, we are going. Shape Analyisis. The plan for types, is not to use them, but the more general shapes, things. In. fact the precise knowledge will be rare, but more often, we will just have. Shape analysis will begin though with concrete types like dict. The reason. is that some re formulations like Python. Tracing that correctly. Plug ins. Something I wish I could have shown at Euro. Python was plug ins to Nuitka. It. has become more complete, and some demo plug ins for say Qt plugins or. The. API will need work and of course documentation. Hope is for this to expand. Nuitkas reach and appeal to get more contributors. It would be sweet, if there were any takers, aiming to complete these things. Nested frames. One result of in lining will be nested frames still present for exceptions. Some cleanup of these will be needed for code generation and SSA to be able. Let me know, if you are willing to help. I really need that help to make things. Nuitka will become more and more important only. And with your. help, things will be there sooner. One thing I have started recently, is to make changes to Nuitka focused to just. So instead of across the board improvements in just about everything, I. This progresses Nuitka in one field. And the next release then e. That way, more flow is possible and more visible progress too. Orange Range Discography Rar. As an example. of this, these are the focuses of last releases. Full Python 3. 5 on a clean base with generators redone so that coroutines. Scalability of C compilation with argument parsing redone. Next release soon Shape analysis of subscript usages and optimization to. Next release thereafter Comparison benchmarking vmprof, resolving C level. Other focuses will also happen, but thats too far ahead. Mostly like some. Focus is for. things that are too complex to attack as a side project, and therefore never. Digging into Python. So I am very excited about Nuitka. It feels like the puzzle is coming together. And should dictionaries be. With this, and then harder import association knowing what other modules are. SSA tracing that can be trusted, we can finally expect Nuitka. That will take a while, but its likely to happen in 2. Lets see if I will. Euro. Python 2. 01.