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.
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.
1 maintainer
Metadata
1 maintainer
Release files for brisk 0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| brisk-0.1.tar.gz | 4.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| brisk-0.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 10.0 kB
Release files / brisk-0.1.tar.gz
| Download URL | brisk-0.1.tar.gz |
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| Size | 4.1 kB |
| Tags | Source |
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Release files / brisk-0.1-py2.py3-none-any.whl
| Download URL | brisk-0.1-py2.py3-none-any.whl |
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| Size | 5.8 kB |
| Tags | Python 2 Python 3 |
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