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Geocomputation with Python: an open source book and online resource for getting started in this space
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
Amalgamate existing climate data to create monthly climate variable fields.
A library for building cross-platform native desktop applications with Node.js and CSS 🚀. React NodeGui : https://react.nodegui.org and Vue NodeGui: https://vue.nodegui.org
A bundler for javascript and friends. Packs many modules into a few bundled assets. Code Splitting allows for loading parts of the application on demand. Through "loaders", modules can be CommonJs,…
Tutorial on geospatial data manipulation with Python
(yet another) static site generator. Simple, customisable, fast, maths with KaTeX, code evaluation, optional pre-rendering, in Julia.
Build a generative AI application using LangChain.js, from local to Azure
Fast and easy echarts with data.table backend for wrangling and a simple API
A comprehensive, reusable and efficient concurrent-safe generics utility functions and data structures library.
Introduction to Geospatial Raster and Vector Data with Python
Python Jupyter notebooks for BioImageAnalysis, GPU-accelerated image processing, bio-image data science and more
A collection of extensions for Esri's ArcPy site package
Simple structure and functions to read and write PDB files
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Up to 10x faster strings for C, C++, Python, Rust, and Swift, leveraging SWAR and SIMD on Arm Neon and x86 AVX2 & AVX-512-capable chips to accelerate search, sort, edit distances, alignment scores,…
🔥 CSS talks you have to see ⚡️ covering CSS Grid, flexbox, custom variables, performance, frameworks, Sass, tools, and more! 🚀
⚡️ A collection of tips to help take your CSS skills pro 🦾
DeepLearningfromScratch2018
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Short course on Introduction to R for the Geosciences
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science