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Reed group lab manual - Home
  • Welcome to our lab manual!
  • Graduate Student Resources
    • Housing Around Cornell
    • A guide to Ithaca and Cornell for Visiting Scholars
    • Course List
    • Conferences
    • Presentation Templates
    • Writing your first paper
    • Contributing to the Water Programming Blog
    • Paper Repository Templates
    • Scheduling
    • Organizational Tools
    • Citation and Reference Management Tools
    • Long Term Storage
  • Computational Resources
    • Cluster Basics
    • Crash Course in Python
    • Machine Learning Resources
    • Introduction to Linux
    • Introduction to Git & GitHub
    • Building and deploying websites with Python
  • Software
    • Borg MOEA
    • WaterPaths
    • Pywr-DRB
    • CALFEWS
    • SALib
    • Rhodium
    • MOEA Framework
    • J3 Visualization
  • Training
    • Suggested training schedule
    • Getting starting with MOEAs
    • The Shallow Lake Problem
    • Introduction to Sensitivity Analysis
    • Time-Varying Sensitivity Analysis
    • Intro to Scenario Discovery
    • Synthetic Streamflow Generation
    • Getting Started with StateMod
    • Multi-Master Borg MOEA Parallel Scaling Diagnotics
    • Introduction to MOEA Diagnostics
    • Pywr-DRB Training
    • Synthetic Weather Generation
    • The Fisheries Game
    • WaterPaths
    • Intro to MORDM
  • Water Programming Blog Post Catalog
  • List of Paper Repositories
  • Figure Library
    • Parallel Coordinates Plots
    • Synthetic Streamflow Diagnostic Figure Library
    • Scatter plots and colorbars using Matplotlib
    • 3D scatter plots, point sizes, and positioning legends
    • MOEA Diagnostics
    • T-cup diagrams
  • Contributing to this lab manual
    • Instructions on contributing to the lab manual
    • Markdown example
    • Jupyter notebook example
    • Training Title
    • Frequently-asked questions (FAQs)
  • Repository
  • Open issue
  • .md

Computational Resources

Computational Resources#

  • Cluster Basics
  • Crash Course in Python
  • Machine Learning Resources
  • Introduction to Linux
  • Introduction to Git & GitHub
  • Building and deploying websites with Python

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