candrasa Goto Github PK
Name: Candrasa Surya Dharma
Type: User
Bio: a very beginner in programming, and currently have no idea how to use github
Location: Jakarta
Name: Candrasa Surya Dharma
Type: User
Bio: a very beginner in programming, and currently have no idea how to use github
Location: Jakarta
a project to visualize Tokyo wind and air pollutants
Advanced Geographical Information System for the Web
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Python codes for state-space analysis of output from the Data Assimilation Research Testbed
a project to visualize global weather conditions
Real-Time Twitter Monitoring Using ELK Stack
EOF analysis in Python
Have no idea about git hub
This repository contains the code and data associated with the paper titled "Numerical Simulation of the 2D Trajectory of a Non-Buoyant Fluid Parcel under the Influence of Inertial Oscillation"
C++ based input reader
Latihan Android karena lagi Buntu Thesis
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.
Kinematic Driver (KiD) for microphysics scheme development, testing and comparison.
Kinematic Driver (KiD) and Aerosol model used in the International Cloud Modelling Workshop (ICMW) 2016 and the GASS microphysics project
libcloudphysics++ - a library of algorithms for representing cloud microphysics in numerical models
Interface around Matplotlib to quickly and easily create meteogram charts.
Computational fluid dynamics code for simulation of turbulent flows in the atmospheric boundary layer
The interactive graphing library for Python (includes Plotly Express) :sparkles:
A specialized visualization tool for the Weather Research and Forecasting (WRF) model outputs
python code for dynamic tropopause calculations
A python based infrastructure for cloud large eddy simulation.
The PyEarthScience repository created by DKRZ (German Climate Computing Center) provides Python scripts and Jupyter notebooks in particular for scientific data processing and visualization used in climate science. It contains scripts for visualization, I/O, and analysis using PyNGL, PyNIO, xarray, cfgrib, xesmf, cartopy, and others.
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.
Code and tutorials to visualise your data that is both beautiful *and* statistically valid
S100-Schemas
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.