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After 5 years of work, I'm proud to announce Shed Skin 0.3, an experimental (but obviously restricted) Python-to-C++ compiler. Looking over the release notes, I'm convinced this must be the best release so far. I would like to thank especially Jeremie Roquet, for several major contributions to this release, and Thomas Spura, for reorganizing the codebase. Joris van Rantwijk provided the great new
Please take a few minutes to complete the 2024 Django Developers Survey. Your feedback will help guide future efforts. Posted by James Bennett on Oct. 9, 2009 Today the Django project is issuing a set of releases to remedy a security issue. This issue was disclosed publicly by a third party on a high-traffic mailing list, and attempts have been made to exploit it against live Django installations;
The first word, the GC header, describes the layout. It encodes on half a word the shape of the object, including where it contains further pointers, so that the GC can trace it. The other half contains GC flags (e.g. the mark bit of a mark-and-sweep GC). The second word is used for method dispatch. It is similar to a C++ vtable pointer. It points to static data that is mostly a table of methods (
¶ Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. By using non-blocking network I/O, Tornado can scale to tens of thousands of open connections, making it ideal for long polling, WebSockets, and other applications that require a long-lived connection to each user. Quick links¶ Current version: 6.4.2 (download from PyPI, release notes) Sour
Abstract In this paper, an implementation of "Stackless Python" (a Python which does not keep state on the C stack) is presented. Surprisingly, the necessary changes affect just a small number of C modules, and a major rewrite of the C library can be avoided. The key idea in this approach is a paradigm change for the Python code interpreter that is not easy to understand in the first place. Recurs
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Note:This is another post in what I hope will be a series leading up to my concurrency/distributed systems talk at PyCon. I'm steadily working through experimenting with and learning the various frameworks/libraries in the python ecosystem. I reserve the right (and probably will) to revise these entries based on feedback from people (mainly the author(s) of said tool(s)). I will also add additiona
"What's the point of Cobra given the existence of Python?" The answer is that Cobra has several advantages over Python as described below: Better error checking Cobra has more compile-time error checking. For example, Python can throw a NameError at any point during run-time due to mispelling a variable name, but Cobra catches these errors at compile-time. Furthermore, because Python is throwing r
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