ianfiske/python-guide
Python best practices guidebook, written for Humans.
Discovered public repositories for ianfiske in the GitHub catalog.
Python best practices guidebook, written for Humans.
Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js
Optional extensions for petl based on third party libraries.
Time series toolkit for Julia
Declarative vector graphics
Julia-to-R interface
Julia wrapper for the International Components for Unicode (ICU) library
Basic functions for clustering data: k-means, dp-means, etc.
The Julia Language: A fresh approach to technical computing.
Julia bindings to libsvm backed by JuliaData
library for working with tabular data in Julia
R package for hierarchical models in ecological research