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Name: jagadish
Type: User
Name: jagadish
Type: User
repository with code and documentation for the course "Geospatial analysis and representation for data science" for the students in data science of the university of Trento
Various examples for Google Earth Engine in Python using Jupyter Notebook
Generic gridding routine for satellite data with corner coordinates supplied. in the Scientific Development Phase, use at your own risk and let authors know about issues (quick&dirty was the way!)
HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.
Building an image classifier using keras
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Workshop on Machine Learning in Python
matplotlib: plotting with Python
Python module to download modis data
Access data from the MODIS web service and perform quality filtering in Python
netcdf4-python: python/numpy interface to the netCDF C library
Numpy beginner tutorial
Material for distance learning course on "Geoprocessing using Python"
Code for the book Open source geoprocessing with Python
Examples of using the Planetary Computer
Python 4-dimensional variational data assimilation tool
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Progression path for a GIS analyst who wants to become proficient in using Python for GIS: from apprentice to guru
Some sample python notebooks
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
A Python 3 programming tutorial for beginners.
A series of Jupyter Notebooks on exploring Unidata technology with Python. See website for more information.
https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Python Data Science Handbook: full text in Jupyter Notebooks
contents for 2019 raster tutorial
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.