This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
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Project Description

Optimized numerical computation using Continuum’s Numba. Intended as a drop-in replacement for numerical functions in numpy, scipy, or builtins. Provides strong performance boosts.

Numba website

Inputs use numpy arrays, not lists. Rough/early release - Open to suggestions and bug reports.

Included functions

  • sum: Similar to builtin sum, or numpy.sum
  • mean: Similar to numpy.mean
  • var: Variance test, similar to numpy.var
  • cov: Covariance estimation, similar to numpy.cov
  • std: Standard deviation, similar to numpy.std
  • corr: Pearson correlation test, similar to scipy.stats.pearsonr
  • bisect: Similar to standard library bisect.bisect
  • bisect_left: Similar to standard library builtin.bisect_left
  • interp: Linear interpoliation, similar to numpy.interp. x is an array.
  • interp_one: Linear interpolation, similar to numpy.interp. x is a single value.
  • detrend: Similar to scipy.signal.detrend. Linear or constant trend.
  • ols: Simple Ordinary Least Squares regression for two data sets.
  • ols_single: Simple Ordinary Least Squares regression for one data set.
  • lin_resids: Residuals calculation from a linear regression with two data sets
  • lin_resids_single: Residuals calculation from a linear regression with one data set.
Release History

Release History


This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
brisk-0.1-py2.py3-none-any.whl (5.8 kB) Copy SHA256 Checksum SHA256 py2.py3 Wheel Apr 9, 2015
brisk-0.1.tar.gz (4.1 kB) Copy SHA256 Checksum SHA256 Source Apr 9, 2015

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