Table of Contents

Welcome to NumSharp

NumSharp is a .NET port of Python's NumPy library, bringing powerful numerical computing to the .NET ecosystem.

Why NumSharp?

  • NumPy API compatibility - Feel right at home if you're coming from Python
  • High-performance NDArray - Multi-dimensional arrays stored efficiently in unmanaged memory
  • Full .NET integration - Works seamlessly with C#, F#, VB.NET, and other .NET languages
  • Part of the SciSharp ecosystem - Works alongside TensorFlow.NET, ML.NET, and other ML libraries

Quick Start

dotnet add package NumSharp

using NumSharp;

var a = np.array(new int[] { 1, 2, 3, 4, 5 });
var b = np.arange(5);
var c = a + b;
Console.WriteLine(c);  // [1, 3, 5, 7, 9]

Features

  • Array Creation - np.zeros, np.ones, np.arange, np.linspace, and more
  • Array Manipulation - Reshape, transpose, concatenate, stack operations
  • Math Operations - Element-wise arithmetic, broadcasting, linear algebra
  • Slicing & Indexing - NumPy-style slicing with views, not copies
  • Random Sampling - Full numpy.random compatibility with seed/state matching
  • File I/O - Load and save .npy and .npz files

Get Started

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