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Source channel @githubtrending · Post #14753 · May 26

#tree_sitter_query#hacktoberfest#neovim#nvim_treesitter#tree_sitter Nvim-treesitter is a plugin for Neovim that makes it easy to use Tree-sitter, a modern parsing tool, for better syntax highlighting and code understanding in your editor[1][2]. It automatically installs and manages language parsers, so you don’t have to do it manually, and supports many programming languages out of the box. With nvim-treesitter, you get more accurate and faster syntax highlighting, smarter code navigation, and features like incremental selection, indentation, and code folding, all based on the actual structure of your code[4]. This means your code is easier to read and work with, and you can move around and edit code more efficiently. While some features are still experimental, using nvim-treesitter can greatly improve your coding experience in Neovim. https://github.com/nvim-treesitter/nvim-treesitter

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djangoproject

@djangoproject · Post #118 · 08/08/2016, 11:44 AM

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https://docs.python.org/3/library/multiprocessing.html multiprocessing is a package that supports spawning processes using an API similar to the threading module. The multiprocessing package offers both local and remote concurrency, effectively side-stepping the Global Interpreter Lock by using subprocesses instead of threads. Due to this, the multiprocessing module allows the programmer to fully leverage multiple processors on a given machine. It runs on both Unix and Windows. The #multiprocessing module also introduces #APIs which do not have analogs in the #threading#module. A prime example of this is the Pool object which offers a convenient means of parallelizing the execution of a function across multiple input values, distributing the input data across processes (data #parallelism). The following example demonstrates the common practice of defining such functions in a module so that child processes can successfully import that module. This basic example of data parallelism using Pool,

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#multiprocessing #apis #threading #module #parallelism