A Templatized Header Only C++ Implementation of the Python NumPy Library. The main data structure in NumCpp is the NdArray. It is inherently a 2D array class, with 1D arrays being implemented as 1xN arrays. There is also a DataCube class that is provided as a convenience container for storing an array of 2D NdArrays, but it has limited usefulness past a simple container.

Features

  • NumCpp follows the idioms of the C++ STL providing iterator pairs to iterate on arrays in different fashions
  • Logical FUNCTIONS in NumCpp behave the same as NumPy
  • Reducers accumulate values of NdArrays along specified axes
  • When no axis is specified, values are accumulated along all axes
  • Print and file output methods
  • NumCpp universal functions are provided for a large set number of mathematical functions

Project Samples

Project Activity

See All Activity >

License

MIT License

Follow NumCpp

NumCpp Web Site

Other Useful Business Software
Train ML Models With SQL You Already Know Icon
Train ML Models With SQL You Already Know

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

Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of NumCpp!

Additional Project Details

Programming Language

C++

Related Categories

C++ Software Development Software, C++ Libraries

Registered

2022-05-31