Numeric Analysis

• Numerical Computing with MATLAB

• Getting Started with MATLAB

• Ordinary Differential Equation and Numeric Integration

• Finite Element Method

• GNU Octave

• Scilab

• Dynamic Simulation in Python

• Fundamentals of Numerical Computation - Julia

  • Chapter Examples

• Fundamentals of Numerical Computation

Misc. Resources - MATLAB

• Algebraic Loops

• Working with Derived Files in Project

• Difference Between MDL and SLX files

• C Source MEX File in MATLAB

Math Prelims

• Linear Algebra

  • Introduction to Applied Linear Algebra: Vectors, Matrix, and Least Square

  • Definitions(Wolfram)

  • Linear Algebra

• Vector Space

  • Wolfram

  • Geoffrey Scott, University of Toronto

• Optimization

  • Convex Optimization Stanford(EE364a)

  • COIN-OR Projects Projects

  • Hands-On Mathematical Optimization with Python

  • HiGHS - High Performance Optimization Software

  • PyOptInterface (Python Optimization Interface)

• Dynamical System

  • Introduction to Linear Dynamical System

• Machine Learning

  • Introduction to Machine Learning

  • Introduction to Deep Learning

  • Machine Learning in Python

  • Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory

• Digital Signal Processing

  • MIT OCW (Prof. Alan V. Oppenheim)

• Miscellaneous Courses

  • Introduction to Computational Thinking

  • 3blue1brown

    • Manim - An animation engine for explanatory math graphics

  • Python Documentation

  • Python Package Index

  • Julia Documentation

  • Divergence and Curl

  • Begin Java

Tools

• MATPOWER

• PYOMO

• ND Pyomo Cookbook

Misc. Resources

• Cleve's Corner

• A Brief History of MATLAB

• IBM Research - Explainers

• Introduction to Object Oriented Programming in Java

• Base - CS - Vaidehi Joshi --- A compiled, chronological list of content from the basecs series

• System Design Resources

• System Design Case Study / Newsletter / Fundamentals

• EE 274: Data Compression, Theory and Applications - Fall 2023-24 --- EE 274: YouTube Playlist

• The latest research from Google

  • Fast, accurate climate modeling with NeuralGCM

  • NeuralGCM documentation

• ML YouTube Courses

Compiler Docs

• The GNU Project

• GCC Online Documentation

• The GNU Compiler Collection

• The GNU Fortran Compiler

• Fortran: Building Programs

• Compiled Vs. Interpreted Programming Languages

• Using GCC with MinGW

• MSYS2

• GNU Binutils

• Setting up Eclipse CDT

FORTRAN

• Fortran

• Fortran - AMath 483/583 Class Notes - Spring Quarter, 2011 - University of Washington

• Fortran Wiki --- Admin - Jason Blevins

• Introduction to Fortran --- Texas A&M HPRC Short Course

• Learning resources: Fortran - Princeton Research Computing

EMTP Docs

• Electromagnetic Transient Program (EMTP) Workbook - EPRI

  PSCAD

  • Electromagnetic Transient Including DC (EMTDC)

    • EMTDC Intrinsic Variables

  • PSCAD X4 (v4.6) Online Help

  • PSCAD V5 Application Help

  • Resolving PSCAD and Related Software Issues

  • Intel Fortran Compiler - Issues

  • Definitions Branch

  • MHI PSCAD Automation Library V4

    • Canvas & Components

    • Automation example

  • MHI PSCAD Automation Library V 5.0.0

  • MHI PSCAD Automation Library V 5.0.2

  • PSCAD V4+ Features

    • Blackbox Modules - V 4.5

  • PSCAD V5 Features

    • Blackbox Modules - V 5

  • PSCAD - New features and bug fixes






Version Control

• Pro Git Book

• Sourcetree - Say goodbye to the command line - simplify distributed version control with a Git client and quickly bring everyone up to speed.





Misc. resources on data analysis





• Packaging Python Projects - Python Packaging User Guide

• Clean Code in Python - Nik Tomazic

• Simplify Python Imports with Explicit Packaging

• Introduction to PyTorch - Youtube Series

• Configuring Python

• Understanding the Python Traceback

• Speed up data science and scientific computing code

• PyData

• Spyder - IDE

• Miniconda

• Pandas Docs.

• Keras

• Tutorials  |  TensorFlow Core

• PyTorch --- PyTorch YouTube

  • Learn PyTorch for Deep Learning: Zero to Mastery book

• Seaborn

• Introduction To Forecasting - Skforecast

• towards data science

• Data Science Tutorial for Beginners

• Run Python in Your HTML

• Matplotlib Docs --- matplotlib backend pdf

• Dask Docs --- Dask use cases

• ReportLab PDF Library

• Data Structures and Information Retrieval in Python

• pyDatView

• The Python Graph Gallary

• How Python Import System Works

• Learning Scientific Programming with Python - by Christian Hill

• XGBoost - gradient boosting library

• Polars - DataFrame Library

• Rust: The Next Big Thing in Data Science

• Rust Polars: Unlocking High-Performance Data Analysis — Part 1

• Data Handling in Python: File IO: Create, Export, Import and Convert Data

• Signal Processing

• Data Science - Medium

• Dash Enterprise App Galary - Plotly

• statsmodels - statistical models, hypothesis tests, and data exploration

• Real Python

• Tabulate JSON Data in Python Using Pandas

• Taipy - Development of data-driven web applications

• PyViz - open-source Python data visualization tools

• YOLO - You Only Look Once - Object Detection --- YOLOv8

• Deci’s YOLO-NAS: Next-Generation Model for Object Detection

• Nerfstudio: A Modular Framework for Neural Radiance Field Development

• Stumpy: Python library for identifying repeating patterns in timeseries

• NetworkX - Network Analysis in Python --- Introductory examples for NetworkX

• Grounding DINO — PyTorch implementation and pretrained models for Grounding DINO

• Roboflow - Notebooks

• Data Binning Explained

• Physical symbolic optimization -- A symbolic optimization package built for physics

• Great Tables for Python v0.1.0 - posit

• Quarto - Using Python

  
  

  • Word Basics - Quarto

  • PDF Basics - Quarto

  • Typst Basics - Quarto

• The Way of Python

• Ibis - An open source python dataframe library that works with any data system

• Typst - A new markup-based typesetting system that is powerful and easy to learn.

• Typst docs

• JAX: High performance array computing

Time Series Analysis

• Intro to Time Series Forecasting

• Everything you can do with a time series

• Time Series Forecasting - TensorFlow

• Lancaster CMAF - The official channel of the Centre for Marketing Analytics and Forecasting (CMAF), Lancaster University, UK

• Time Series in Python — Exponential Smoothing and ARIMA processes

• Time Series in Python — Part 2: Dealing with seasonal data

• PyTimeTK — Simplifying Time Series Analysis for Everyone

• Darts — Time Series Made Easy in Python

• Modeling Short Time Series with Prior Knowledge

• Modeling Short Time Series with Prior Knowledge in PyMC

• Misc. applications on time series by Dr. Juan Camilo Orduz

• Nixtlaverse - Open-source libraries, for comprehensive, cutting-edge toolkit for Time Series Forecasting











Datasets

• Kaggle

• The SpaceNet Datasets

• Open Buildings - A dataset of building footprints to support social good applications - Google Research

• NOAA Open Data Dissemination Program Datasets

• AI for Earth Data Sets - Notebooks and documentation for AI-for-Earth-managed datasets on Azure

• Amazon Sustainability Data Initiative (ASDI)

  • AWS CLI

• Overture Maps Foundation Open Map Data

  • Overture Maps Docs

  • Let’s explore Overture Maps

• NASA Goddard Earth Sciences (GES) - Information Services Center (DISC)

  • GES DISC Tutorials

Python Enhancement Proposals (PEPs)

• PEP 8 – Style Guide for Python Code

• PEP 621 – Storing project metadata in pyproject.toml

Remote Sensing / GIS

• NASA Earthdata - Youtube

• QGIS - A Free and Open Source Geographic Information System (GIS) --- git repo - QGIS

• An Introduction to Earth Engine Python API

• Cloud-Based Remote Sensing with Google Earth Engine

• Earth Engine Code Editor

• End-to-End Google Earth Engine - A hands-on introduction to applied remote sensing using Google Earth Engine - Ujaval Gandhi

• Python Foundation for Spatial Analysis - A gentle introduction to Python programming with a focus on spatial data - Ujaval Gandhi

• Introduction to Remote Sensing (End-to-End Google Earth Engine)

• Google Earth Engine 101: An Introduction for Complete Beginners

• What is Remote Sensing - EARTHDATA ( NASA )

• NASA Earth Observatory --- Blogs

• NASA Applied Remote Sensing Training Program (ARSET) - Learn To Use Earth Observations

• NASA Applied Remote Sensing Training Program (ARSET) - Fundamentals of Remote Sensing

• NASA Applied Remote Sensing Training Program (ARSET) - Hyperspectral Data for Land and Coastal Systems

• NASA Applied Remote Sensing Training Program (ARSET) - Introduction to Lightning Observations and Applications

• Applying Deep Learning to Satellite and Aerial Imagery

• Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detection

• Step by Step Visual Introduction to Diffusion Models

• What are Diffusion Models

• DiffusionSat: A Generative Foundation Model For Satellite Imagery

• Pedestrian Collision Hot Spot Detection Using Machine Learning and Embeddings

• LISS4 Image Processing using XArray and Dask

• Getting Started With SpaceNet Data

• Road Network and Travel Time Extraction from Multiple Look Angles with SpaceNet Data

• SAR 101: An Introduction to Synthetic Aperture Radar

• AI for polar remote sensing (Michel Tsamados, UCL/CPOM)

Databases

• DuckDB Python API --- DuckDB - EuroPython 2023

Misc. Applications

• HVAC Occupancy Detection with ML and DL Methods

• Tackling Water Pollution using YOLO-NAS and W&B

• Zero-Shot Object Detection with Grounding DINO

• Using AI To Digitize Data From Scanned Maps

• Misc. ML projects

• 100-Days-Of-ML-Code

• Open-Source AI Cookbook

• Recent Updates to Taipy That Made It Even More Powerful

• ML Techniques by Vincent Granville

• Miles Cranmer - The Next Great Scientific Theory is Hiding Inside a Neural Network (April 3, 2024)

• Vizro - Rapidly self-serve the assembly of customized dashboards in minutes

• Bringing Data to Life: Crafting Animated Timeline Graphs from Dust

VS Code Extensions

• Data Wrangler - Microsoft

• Draw.io Integration

• Tinymist Typst

• Typst LSP

• Typst Sync

Blogs

• Dr. Juan Camilo Orduz

• Emily Riederer

• Sara Hooker

  • Taming the Tail: Adventures in Improving AI Economics

• Mark Litwintschik

• Daniel Bourke

  • Youtube

• Anna-Lena Popkes

  • An unbiased evaluation of environment management
    and packaging tools

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