mnkmishra02 Goto Github PK

cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

datashader

Turns even the largest data into images, accurately.

dlmmc

Dynamical linear modeling (DLM) regression code for analysis of atmospheric time-series data.

eddytracking

Code for the detection and tracking of eddies, following Chelton et al. (Prog. Ocean., 2011) given a series of sea level maps.

eof2

EOF analysis in Python (new users should use eofs: https://github.com/ajdawson/eofs/)

eofs

EOF analysis in Python

genetic-algorithm-rnn

Using Genetic Algorithms to optimize Recurrent Neural Network's Configuration

genetic_algorithm_challenge

Data files, code, and results for Genetic Algorithm Challenge by @Sirajology on Youtube

imos-user-code-library

jhepc

John Hunter Excellence in Plotting Contest

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kpywavelet

Continuous wavelet transform module for Python. Includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. This module references to the numpy, scipy and pylab Python packages.

mayank_iit

melodist

MELODIST is an open-source toolbox written in Python for disaggregating daily meteorological time series to hourly time steps. It is licensed under GPLv3 (see license file). The software framework consists of disaggregation functions for each variable including temperature, humidity, precipitation, shortwave radiation, and wind speed. These functions can simply be called from a station object, which includes all relevant information about site characteristics. The data management of time series is handled using data frame objects as defined in the pandas package. In this way, input and output data can be easily prepared and processed. For instance, the pandas package is data i/o capable and includes functions to plot time series using the matplotlib library.

mjo_indices

ocean-ftle

FTLE (finite-time Lyapunov exponent) code for oceanographic flows

ocean-regrid

Regrid global ocean data in 3d.

oceanspy

A Python package to extract information from ocean model outputs stored on SciServer

okean

ocean modelling and analysis tools

otistidalprediction

Tidal prediction at positions and times from OTIS netcdf files...

pcm

Profile Classification Modelling (PCM) is an ocean data analysis method based on un-supervised classification of vertical profiles

pymeteo

Meteorological routines

pyseals

Quick subsetting and visualization of vertical profiles from the Marine Mammals Exploring the Oceans Pole to Pole (MEOP) dataset.

pystorms

Tropical Storms Analysis tool based on python

python-oceans

Misc tools for oceanographers

python-practical-application-on-climate-variability-studies

This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts with some basic statistic for time series analysis as estimation of means, anomalies, standard deviation, correlations, arriving the estimation of particular climate indexes (Niño 3), detrending single time series and decomposition of time series, filtering, interpolation of climate variables on regular or irregular grids, leading modes of climate variability (EOF or HHT), signal processing in the climate system (spectral and wavelet analysis). In addition, this tutorial also deals with different data formats such as CSV, NetCDF, Binary, and matlab'mat, etc. It is assumed that you have basic knowledge and understanding of statistics and Python.

python-seawater

Translated version of the matlab CSIRO seawater toolbox

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pythonmachinelearning

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

pytseb

A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data