Showing 5 open source projects for "c++ to python converter"

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  • 1

    Prime number ( primenumbers )

    Benchmark for 50 000 000 prime numbers as single and multicore

    Simple source files and compiled JAR Java programs, for benchmark 50 000 000 cycle finding prime numbers. On Intel(R) Core(TM) i5-8600K CPU, Windows 10 20H2, i have 39 second on single core and 7,6 second on multi core. (PS: C++ multicore 6 second). Added C files for gcc compiler in Windows 10 and for Xcode C command line project in MacOS ( tested on Mac mini M2 with single core 16 to 25 sec and multicore 2,3 to 5 second by compiler -O switch). Surprise, same code in JavaScript for M2 chip in Safari, 12,5 sec single core and 3,3 sec multi core. Python version with numba and numpy on MacOS with M2, 3,78 sec.
    Downloads: 5 This Week
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  • 2
    classicos de leitura

    classicos de leitura

    The best of Portuguese and English classical literature

    A program to read classical literature ,6 titles added at the moment. In English: -The adventures of Sherlock Holmes -Secret Adversary In Portuguese: -Amor de Perdição -Os Maias -A morgadinha dos canaviais -A moreninha
    Downloads: 0 This Week
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  • 3
    Advanced Trigonometry Calculator

    Advanced Trigonometry Calculator

    Precision Trigonometry: Advanced Calculator for Complex Math

    Advanced Trigonometry Calculator is equipped with a user-friendly interface that allows for easy input of problems and instant computation. Professionals such as engineers who need to perform advanced trigonometric calculations in their work will find this tool extremely useful. More info by clicking below: https://advantrigoncalc.sourceforge.io/ Advanced Trigonometry Calculator was only and always only developed by the Portuguese Renato Alexandre dos Santos Freitas. Also author of...
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    Downloads: 7 This Week
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  • 4
    Downloads: 0 This Week
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  • 5
    cosmos

    cosmos

    Algorithms that run our universe | Your personal library of every algo

    Cosmos (by OpenGenus Foundation) is your personal offline collection of every algorithm and data structure one will ever encounter and use in a lifetime. This provides solutions in various languages spanning C, C++, Java, JavaScript, Swift, Python, Go and others. This work is maintained by a community of hundreds of people and is a massive collaborative effort to bring the readily available coding knowledge offline.
    Downloads: 0 This Week
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