maartaud Goto Github PK
Name: Marcelo Rodrigues
Type: User
Company: Federal University of Santa Maria
Bio: Ph.D. in Meteorology working with cyclones and climate change.
Location: Santa Maria, RS, Brazil
Blog: maartaud.github.io
Name: Marcelo Rodrigues
Type: User
Company: Federal University of Santa Maria
Bio: Ph.D. in Meteorology working with cyclones and climate change.
Location: Santa Maria, RS, Brazil
Blog: maartaud.github.io
Awesome Open Atmospheric, Ocean, and Climate Science
Python for Climate Data Science
A collection of interactive lecture notes and assignments in Jupyter notebook format.
Python package for process-oriented climate modeling
Read and Write CSV Files Using Modern Fortran
Analysis and product generation for meteorological data.
Deep Learning for Hurricane Forecasting
A set of IPython notebooks and learning resources for an Introduction to Programming class, focusing on Python.
Course materials for Introduction to Introduction to Physical Oceanography (EESC4925)
Jupyter metapackage for installation, docs and chat
Various meterologically relevant calculations, as well as additional utilities for visualizing data.
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
All my notebooks.
Python scripts for the "NWP Data Acquisition, Processing and Visualization With Python" training course (INPE / CPTEC) - Jul / 2021
Pangeo website + discussion of general issues related to the project.
Pangeo Example Notebooks
Resources for Python Crash Course, from No Starch Press.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
A Python toolkit for running and coupling Earth surface models.
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.
A series of Jupyter Notebooks on exploring Unidata technology with Python. See website for more information.
Python lectures with oceanography examples.
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.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
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.