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The Computer Language Benchmarks Game (formerly called The Great Computer Language Shootout) is a free software project for comparing how a given subset of simple algorithms can be implemented in various popular programming languages. The project consists of: A set of very simple algorithmic problems
PeaZip is a free and open-source file manager and file archiver [5] for Microsoft Windows, ReactOS, [6] Linux, [7] [8] [9] MacOS [10] and BSD [11] [12] by Giorgio Tani. It supports its native PEA archive format [ 13 ] (supporting compression, multi-volume split, and flexible authenticated encryption and integrity check schemes) and other ...
The difference is an exact number of quarters of an hour up to 95 (same minutes modulo 15 and seconds) if the file was transported across zones; there is also a one-hour difference within a single zone caused by the transition between standard time and daylight saving time (DST). Some, but not all, file comparison and synchronisation software ...
Note that many of these protocols might be supported, in part or in whole, by software layers below the file manager, rather than by the file manager itself; for example, the macOS Finder doesn't implement those protocols, and the Windows Explorer doesn't implement most of them, they just make ordinary file system calls to access remote files ...
It uses a scoring system that separates single-core and multi-core performance, [7] [8] and workloads designed to simulate real-world scenarios. [9] The software benchmark is available for macOS, Windows, Linux, Android and iOS. Free users are required to upload test results online in order to run the benchmark.
[7] [8] These include the exploitation of hyper-sparsity when solving linear systems in the simplex implementations and, for the dual simplex solver, exploitation of multi-threading. The simplex solver's performance relative to commercial and other open-source software is regularly reported using industry-standard benchmarks. [9]
On 21 March 2017, the PyPy project released version 5.7 of both PyPy and PyPy3, with the latter introducing beta-quality support for Python 3.5. [25] On 26 April 2018, version 6.0 was released, with support for Python 2.7 and 3.5 (still beta-quality on Windows). [26] On 11 February 2019, version 7.0 was released, with support for Python 2.7 and ...
Ninja-IDE, free software, written in Python and Qt, Ninja name stands for Ninja-IDE Is Not Just Another IDE; PyCharm, a proprietary and Open Source IDE for Python development. PythonAnywhere, an online IDE and Web hosting service. Python Tools for Visual Studio, Free and open-source plug-in for Visual Studio. Spyder, IDE for scientific programming.