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Game Oriented Assembly Lisp - Wikipedia

Game Oriented Assem bly Lisp (GOAL, also known as Game Object Assem bly Lisp) is a programming language, a dialect of the language Lisp, made for video games developed by Andy Gavin and the Jak and Daxter team at the company Naughty Dog. It was written using Allegro Common Lisp and used in the development of the entire Jak and Daxter series of games. Design[edit] GOAL's syntax resem bles the Lisp dia

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Adventures in Data Compilation - Uncharted: Drake's Fortune

Adventures in Data Compilation Uncharted: Drakeâ€™s Fortune Dan Liebgold Naughty Dog, Inc. Santa Monica, CA Game Developers Conference, 2008 Motivation Code is compiled, data is â€œbuiltâ€ What should be code, what should be data? Plenty, right? Game logic, geometry, textures... What is not clearly either? Particle deï¬nitions, animation states & blend trees, event & gameplay scripting/tuning, more...

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LLJS : Low-Level JavaScript

LLJS is a typed dialect of JavaScript that offers a C-like type system with manual memory management. It compiles to JavaScript and lets you write memory-efficient and GC pause-free code less painfully, in short, LLJS is the bastard child of JavaScript and C. LLJS is early research prototype work, so don't expect anything rock solid just yet. The research goal here is to explore low-level statical

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Database transactions | Django documentation

Database transactionsÂ¶ Django gives you a few ways to control how database transactions are managed. Managing database transactionsÂ¶ Djangoâ€™s default transaction behaviorÂ¶ Djangoâ€™s default behavior is to run in autocommit mode. Each query is immediately committed to the database, unless a transaction is active. See below for details. Django uses transactions or savepoints automatically to guarante

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Python 3.5.0 b1 ãƒªãƒªãƒ¼ã‚¹ - python.jp

Python 3.5 æœ€åˆã®ãƒ™ãƒ¼ã‚¿ç‰ˆ Python 3.5.0 b1 ãŒãƒªãƒªãƒ¼ã‚¹ã•ã‚Œã¾ã—ãŸã€‚ https://www.python.org/downloads/release/python-350b1/ Python 3.5ã§ã¯ã€æ–°ãŸãªã‚³ãƒ³ãƒ†ãƒŠå±•é–‹ã®è¡¨è¨˜æ–¹æ³•ã€@ æ¼”ç®—åã€async ã‚ãƒ¼ãƒ¯ãƒ¼ãƒ‰ãªã©ã€Pythonè¨€èªžã«å¤§ããªæ©Ÿèƒ½è¿½åŠ ãŒè¡Œã‚ã‚Œã¾ã™ã€‚æ–°æ©Ÿèƒ½ã‚’ã—ã£ã‹ã‚Šç¢ºèªã—ã¦ãŠãã¾ã—ã‚‡ã†ã€‚ Python 3.5ã§è¿½åŠ ã•ã‚Œã‚‹ä¸»ãªæ©Ÿèƒ½ PEP 448 additional unpacking generalizations PEP 461 adding support for "%-formatting" for bytes and bytearray objects PEP 465 a new operator (@) for matrix multiplication PEP 471 os.sca

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Python Release Python 2.7.10

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FLANN - Fast Library for Approximate Nearest Neighbors | FLANN / FLANN

What is FLANN? FLANN is a library for performing fast approximate nearest neighbor searches in high dimensional spaces. It contains a collection of algorithms we found to work best for nearest neighbor search and a system for automatically choosing the best algorithm and optimum parameters depending on the dataset. FLANN is written in C++ and contains bindings for the following languages: C, MATLA

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FLANN

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