2 projects for "python for windows" with 2 filters applied:

  • Composable, Open Source Payments Platform Icon
    Composable, Open Source Payments Platform

    Build or enhance your payments stack, while maintaining control with an open-source, full-stack and modular infrastructure.

    Juspay's Payments Orchestration Platform offers a comprehensive product suite for businesses, including open-source payment orchestration, global payouts, seamless authentication, payment tokenization, fraud & risk management, end-to-end reconciliation, unified payment analytics & more. The company’s offerings also include end-to-end white label payment gateway solutions & real-time payments infrastructure for banks. These solutions help businesses achieve superior conversion rates, reduce fraud, optimize costs, and deliver seamless customer experiences at scale.
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  • Automate Proposals with AI in Microsoft Word. Icon
    Automate Proposals with AI in Microsoft Word.

    Streamline proposal creation with the smartest AI, the best content, seamless integration with Microsoft Word, and unmatched efficiency.

    Automate your best practices, processes, and standards to guide your proposal writers, sales teams, and subject experts. And don’t worry, it’s so easy to use they will use it. We would love the opportunity to help you quantify the impact your business can expect from investing in Expedience Software. Click here to request a Return on Investment (ROI) calculation. In this 15-minute session, we will ask 20 simple questions to assess and grade your current proposal quality and scalability. Manual proposal processes are likely costing you far more than you realize. These models waste time and kill the productivity of proposal writers, sales team members, senior staff, and subject experts.
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  • 1

    Prime number ( primenumbers )

    Benchmark for 50 000 000 prime numbers as single and multicore

    Python version with numba and numpy on MacOS with M2: 3,78 sec, Intel Ultra 5 225F Linux Fedora 43 GNOME(*Intel): 3,64 sec., W11Intel: 3,73; Faster style in python, MacOS M2: 1,81 sec, *Intel & W11Intel: 2,02 sec.; Ultra faster style in python, MacOS M2: 1,24 s - 1,26 s - 1,34 s, *Intel: 1,48 s - 1,50 s, W11Intel: 1,53 - 1,63.
    Downloads: 3 This Week
    Last Update:
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  • 2
    OhodO

    OhodO

    OhodO optical marks recogination

    OhodO is optical marks recogination, written by python 3.6, opencv 3, tkinter. work with webcam of the laptop or usb webcam.
    Downloads: 0 This Week
    Last Update:
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