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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.
100+ Python challenging programming exercises
slides + IPython notebooks for the Stony Brook University "Python for Scientific Computing" class.
Repository to store all the Python Textbook Companions.
rainfall onset-cessation and extreme indices
Bias corrected monthly precipitation projections over Costa Rica using a GCM-RCM ensemble for RCP 26 45 and 85
Lectures on scientific computing with python, as IPython notebooks.
Course materials for the Geo-Python course at the University of Helsinki, Finland
A Python library for calculating and displaying the skill of model predictions against observations.
Web-based access, aggregation, and visualization of future climate projections with emphasis on agricultural assessments. To cite this software publication: https://www.sciencedirect.com/science/article/pii/S2352711017300626
Tutorial on processing climate (netcdf) data with R and CDO/NCO
R code used in generating the SPEI global database.
Fast algorithms for raster pixel extraction from geometry features
Lecture materials
Tephigram plotting in Python
Latex template for writing a thesis
FORTRAN version of the WOrld FOod STudies (WOFOST) crop simulation model.
Parameter sets for the WOFOST crop simulation model implemented in YAML
Historical & future climatologies (1970-2100) - Time series extraction and maps plotting
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
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Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.