Showing 7 open source projects for "math with python learn"

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  • 1
    Money Math

    Money Math

    Smart financial calculator for savings, discounts and payments

    Looking for a simple yet powerful financial tool? Our calculator app helps you easily manage your money with four key features. You can calculate how much your savings will grow with interest — just enter your deposit, rate, and period. It’s perfect for planning your investments. The app also helps you understand discounts — input the original price and discount percentage, and see the final price instantly. Managing regular payments is simple: just enter the amount, frequency, and duration...
    Downloads: 0 This Week
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  • 2
    AIQuant

    AIQuant

    AI-powered platform for quantitative trading

    ai_quant_trade is an AI-powered, one-stop open-source platform for quantitative trading—ranging from learning and simulation to actual trading. It consolidates stock trading knowledge, strategy examples, factor discovery, traditional rules-based strategies, various machine learning and deep learning methods, reinforcement learning, graph neural networks, high-frequency trading, C++ deployment, and Jupyter Notebook examples for practical hands-on use. Stock trading strategies: large models,...
    Downloads: 4 This Week
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  • 3
    KherveSheet

    KherveSheet

    Excel for scientists: high-quality plots, Python in cells, AI side bar

    ...An integrated AI assistant can generate the cell code from a plain-language description if needed. Learn by doing with 300 ready-made scientific examples covering plotting, data analysis, fitting and simulation. Built entirely in Python, KherveSheet adds a familiar Excel-style grid, an optimisation solver, and a native .ksheet format with CSV and Excel import/export. Runs on Windows.
    Downloads: 5 This Week
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  • 4
    Loss

    Loss

    The Brutalist Market Analyzer

    ...Wrapped in a distraction-free, "Brutalist" user interface, this tool is built for traders who rely on data, not hype. Modern financial websites are bloated with ads, conflicting opinions, and unnecessary jargon. LOSS solves this by automating the math and reading the news for you. Instead of a monolithic architecture, LOSS uses a Split-Stack approach: A Vercel Relay handles raw data fetching, bypassing CORS and rate limits. A Render Python Backend acts as the "Brain," executing heavy machine learning and NLP tasks. Try the live application in action here: https://loss-by-vignesh.vercel.app before downloading the source code Visit For More Details : https://github.com/Vignesh-72/Loss
    Downloads: 0 This Week
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    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

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  • 5
    AlphaPy

    AlphaPy

    Python AutoML for Trading Systems and Sports Betting

    AlphaPy is a Python-based AutoML framework tailored for trading systems and sports betting applications. Built on popular libraries like scikit-learn and pandas, it enables data scientists and speculators to craft predictive models, ensemble strategies, and automated forecasting systems with minimal setup. Run machine learning models using scikit-learn, Keras, xgboost, LightGBM, and CatBoost.
    Downloads: 0 This Week
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  • 6

    math toolkit

    A C++ and Python library for finance, statistics and linear algebra.

    A lightweight C++ and Python library for finance, statistics and linear algebra. Finance features include compound rate present/future value, annuity, various present/future value coefficients ... Statistics features include mean, median, variance, standard deviation, covariance, correlation, linear regression, probabilities and random variates of various distributions ... Linear algebra features include matrix arithmetic, inverse, determinant, rank, linear system solution, lu/qr...
    Downloads: 0 This Week
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  • 7
    This money manager is a simple one (very simple at that) and someday might fork and have a GUI counterpart. Note: you need python installed on your system for this to work.
    Downloads: 0 This Week
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