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libuv is a multi-platform C library that provides support for asynchronous I/O based on event loops. It supports epoll(4) , kqueue(2) , Windows IOCP , Solaris event ports and Linux io_uring . It is primarily designed for use in Node.js but it is also used by other software projects. [ 3 ]
For Python: Built-in implementation [83] pythonfutures [84] Twisted's Deferreds [85] For R: future, implements an extendable future API with lazy and eager synchronous and (multicore or distributed) asynchronous futures [86] [87] For Ruby: Concurrent Ruby [88] Promise gem [89] libuv gem, implements promises [90] Celluloid gem, implements ...
This is a list of notable programming languages with features designed for object-oriented programming (OOP).. The listed languages are designed with varying degrees of OOP support.
Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...
PyTorch 2.0 was released on 15 March 2023, introducing TorchDynamo, a Python-level compiler that makes code run up to 2x faster, along with significant improvements in training and inference performance across major cloud platforms. [25] [26]
A snippet of Python code with keywords highlighted in bold yellow font. The syntax of the Python programming language is the set of rules that defines how a Python program will be written and interpreted (by both the runtime system and by human readers). The Python language has many similarities to Perl, C, and Java. However, there are some ...
libuv; Kqueue equivalent for other platforms: on Solaris, Windows and AIX: I/O completion ports. Note that completion ports notify when a requested operation has completed, whereas kqueue can also notify when a file descriptor is ready to perform an I/O operation. on Linux: epoll system call has similar but not identical semantics.
Project Jupyter's name is a reference to the three core programming languages supported by Jupyter, which are Julia, Python and R. Its name and logo are an homage to Galileo's discovery of the moons of Jupiter, as documented in notebooks attributed to Galileo. Jupyter is financially sponsored by NumFOCUS. [1]