nicolasfauchereau

NIWA_Python_seminars

A series of IPython notebooks on Python for data analysis geared towards environmental sciences

Python-for-data-analysis-and-visualisation

NIWA Scientific Python tutorial, April 2015, Wellington, New Zealand

metocean

Python for ocean - atmosphere science and engineering

seasonal

Robustly estimate trend and periodicity in a timeseries.

climatelearn

El nino forecast based on a few machine learning methods

drought_risk

repository for drought risk visualisation toolkits demonstration interactive visualisation

cams_opi

some Python scripts and IPython notebooks to process and map CAMS / OPI precipitation data

Doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

eofs

EOF analysis in Python

FPL2015

Extra-tropical impacts of the Madden-Julian-Oscillation over New Zealand from an atmospheric circulation regime perspective

met_data_rep

Met Data Processing

PLUVAR

Diurnal Cycle of precipitation in the Pacific Islands and intra-seasonal modes of variability

Python_NIWA_Wellington

Python tutorial, NIWA Wellington, November 2014

windspharm

A Python library for spherical harmonic computations on vector winds.

Book-SocialMediaMiningPython

Companion code for the book "Mastering Social Media Mining with Python"

DeBaCl

Density Based Clustering (DeBaCl) Toolbox

GEFS_update

GEFS update

MeanShift_py

model_isotope

Supplementary material for the paper: Stable oxygen isotope signatures of early season wood in *agathis australis* (Kauri) tree-ring earlywood: Prospects for palaeoclimate reconstructions. Lorrey at al. 2015, submitted to Dendrochronologia

msla_data

process the MSLA data

notejam

The easy way to learn web frameworks

parallel_ml_tutorial

Tutorial on scikit-learn and IPython for parallel machine learning

properscoring

Proper scoring rules in Python

pytisean

Python wrapper for TISEAN

pyws-BE-15-2-26

Scientific Programming in Python for Atmospheric Sciences and Climatology

ResBaz

Interactive visualisations in the browser in Python

scipy2014

some demo material for the interesting libraries exposed during scipy2014

statsintro

Introduction to Statistics

USP_Python_workshop

Instructions and material for the University of the South Pacific Python workshop (20-21 Oct. 2016, Suva, Fiji)

Wind-Speed-Analysis

An elegant probability model for the joint distribution of wind speed and direction.