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Showing 6 open source projects for "python 2"

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  • 1
    PI-Based Image Encoder / Converter

    PI-Based Image Encoder / Converter

    Python code able to convert / compress image to PI (3.14, π) Indexes

    ...ZIP also include 16 MB file with 16,7 mil numbers of PI Benchmark(Single-Thread): Hardware & Environment Apple Silicon: Apple M2 (Mac mini/MacBook) x86_64 Platform: Intel Core Ultra 5 225F (Arrow Lake, 10 Cores) OS 1: Fedora 43 (GNOME) OS 2: Windows 11 Pro (23H2/24H2) Software: Python 3.14.3 + Numba JIT (latest) Results (Lower is better) Platform / OS CPU Time (Seconds) macOS (Native) Apple M2 52.151311 s (in default setup) Fedora Linux Intel Core Ultra 5 225F 58.536457 s (in default Power Management: Balanced) Windows 11 Intel Core Ultra 5 225F 59.681427 s (important! ...
    Downloads: 1 This Week
    Last Update:
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  • 2
    Etchimaths (ALL categories)

    Etchimaths (ALL categories)

    This is a maths solving app and study guide for various levels..

    Etchimaths is a Mathematics software, a helping tool for Mathematics simulation(solving) and study.It is a solving as well as a teaching software. It involves Mathematics programs at various levels of studies;they include: 1.Etchimaths(O'LEVEL) 2.Etchimaths(A'LEVEL) 3.Etchimaths(UNIVERSITY) 4.Etchimaths(BEPC/BEPC+1) 5.Etchimaths(BAC) 6.Etchimaths(UNIVERSITE) 7.Etchimaths(ULTIMATE) and more to come in future..
    1 Review
    Downloads: 1 This Week
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  • 3
    Abandoned version of qbc. DOES NOT WORK properly
    Downloads: 0 This Week
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  • 4
    An interactive tool to study Fourier Series and related physics phenomenons, using open source/free sorftware.
    Downloads: 0 This Week
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  • 5
    The Wolfram Machine project is an effort to create a set of documentation and useful modules (both hardware and software) for a computing architecture based on the mathematical theories presented in Steven Wolfram's book _A_New_Kind_of_Science_.
    Downloads: 0 This Week
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  • 6
    This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.
    Downloads: 0 This Week
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