NumPy is the fundamental package for array computing with Python.
Numpy in the cloud
Ring buffer implementation for numpy
Simple financial functions
Preconverts common numpy types to their serializable (jsonifiable, msgpackable, etc...) form.
Extract image data into a 3D numpy array from a set of DICOM files.
A Python package which provides tools to convert files to and from IDX format (described at http://yann.lecun.com/exdb/mnist/) into numpy.ndarray.
Wrapper module for ccv using numpy arrays interface
This package contains functionality for indexed operations on numpy ndarrays, providing efficient vectorized functionality such as grouping and set operations.
Python functions for reading TOPAS result files
Mapchete NumPy read/write extension
Missing NumPy functionalities
Module for converting directly from BSON to NumPy ndarrays and vice versa
Turtle graphics with NumPy
SQL PARTITION BY and window functions for NumPy
NumPy optimized with Intel(R) MKL library
Manage a Numpy data structure using Peewee-Sync
Optimised tools for group-indexing operations: aggregated sum and more.
A simple table renderer for numpy arrays. Provides a rich display hook for use with Jupyter Lab / Notebook.