Useful n8n resources: list of community nodes and tutorials

Need a step by step video guide? See my full course:

Technically-oriented PDF Collection (Papers, Specs, Decks, Manuals, etc)

Student Sourced Solution Manual for "An Introduction to Statistical Learning: with Applications in R"

An Introduction to Statistical Learning with Applications in R

Complete solutions & exercises for "An Introduction to Statistical Learning with Applications in R second edition"

This R package is designed to obtain USGS or EPA water quality sample data, streamflow data, and metadata directly from web services.

This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

An R package to hold and facilitate interaction with natural earth map data 🌍

Repository to store sample python programs for python learning

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow t…

You will find all the scripts organized by chapter of my book "Mapping Worlds with R: Your Journey from Beginner to Data Cartographer" in this GitHub repo.

A curated list of resources for (aspiring) data journalists

Data on energy by Our World in Data

A curated list of sustainable finance resources (software, data and more)

A part of HyRiver software stack for accessing hydrology data through web services

Access and analyze historical weather and climate data with Python.

Serverless ML system to predict the direction and volume of electricity flows to and from the Netherlands and its energy transmission partners.

Wattif - Electrical energy policies explorer

List of open datasets related to energy projects in Switzerland

Example Jupyter notebooks hosted on Kaggle that demonstrate how to work with US energy data from PUDL.

A simple wrapper for the U.S. Energy Information Administration API

This contains the energy disaggregation code based on Graph Signal Processing approach

A power station dictionary that enables mapping between various naming conventions and associated plant metadata

An Energy Information Administration (EIA) API python client for researchers who just need data.

An R package wrapping the US Energy Information Administration open data API.

Resources for the Energy System Modelling course by Tom Brown at Karlsruhe Institute of Technology (2020).

🔋 Represent energy systems as Python data classes for improved modularity and readability

list of papers, code, and other resources