🚀 Simplify tasks with Tg-Forwards, a Python tool that streamlines processes for improved efficiency and ease of use.

📊 Compute the maximum value of sorted numeric arrays efficiently with this easy-to-use JavaScript library for numerical computation.

Effortlessly compute statistical ranges in arrays with stats-array-nanmskrange. Ideal for numerical tasks in JavaScript and Node.js. 🚀📊

Compute the cumulative maximum value of a one-dimensional double-precision floating-point ndarray.

Compute the maximum value of a one-dimensional ndarray.

Maximum safe nth double factorial when stored in single-precision floating-point format.

📊 Compute strided absolute differences efficiently with the stats-strided-drangeabs library, designed for fast numerical analysis in JavaScript and C.

📱 Build an alternative iOS client for the Max messaging app using SwiftUI and Python, providing seamless API interaction and robust features.

📊 Compute strided mid-range statistics for large datasets efficiently with the stats-strided-mskmidrange library, designed for fast numerical analysis in JavaScript.

Repository ufficiale del gruppo telegram https://t.me/mfAnycubicIT

🔍 Compute the statistical range while ignoring NaN values for efficient data analysis in JavaScript and Node.js environments.

⚙️ Calculate the maximum base-2 exponent for float16 constants, enabling precise numerical computation in web and Node.js environments.

📊 Compute the maximum values of a numeric ndarray while ignoring NaN values for effective statistical analysis in JavaScript.

🧮 Compute the maximum values of a numeric array while ignoring NaN values, optimized for performance in JavaScript and Node.js environments.

Creates Home Assistant sensors that maintain the maximum and/or minimum value of a source sensor during a specified period

A minimal Record type with a Min (decimal) and a Max (decimal) and maximum JSON compatibility

An AutoFaker (AutoBogus) override for the DTO MinMax

The Modular Platform (includes MAX & Mojo)

Compute the maximum value of a one-dimensional single-precision floating-point ndarray.

Compute the maximum absolute value of a one-dimensional double-precision floating-point ndarray.