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IN-CORE Manual
4.5.0
  • Introduction
  • IN-CORE Account
  • Getting Started
  • pyIncore
    • Quick Reference
    • Prerequisites
    • Installation
    • pyIncore Upgrade Guide
    • Testing and Running
    • Analyses
      • Bridge damage
      • Building damage
      • Building functionality
      • Building Economic Loss
      • Capital shocks
      • Combined wind, wave, surge building damage
      • Cumulative building damage
      • Electric power facility damage
      • Electric power facility restoration
      • EPN functionality analysis
      • Household-level housing sequential recovery
      • Housing recovery
      • Housing unit allocation
      • Joplin Computable General Equilibrium (CGE)
      • Joplin empirical restoration model
      • Mean damage
      • Multi-objective retrofit optimization model
      • Monte Carlo failure probability
      • Network cascading interdependency functionality
      • Nonstructural building damage
      • Pipeline damage
      • Pipeline damage with repair rate
      • Pipeline functionality analysis
      • Pipeline restoration
      • Population dislocation
      • Portfolio recovery
      • Residential building recovery
      • Road damage
      • Seaside Computable General Equilibrium (CGE)
      • Social vulnerability
      • Tornado electric power network (EPN) damage
      • Transportation recovery
      • Water facility damage
      • Water network functionality
      • Water facility restoration
  • pyIncore viz
  • pyIncore data
  • IN-CORE Lab
  • IN-CORE Web Tools
  • Tutorials and Tips
    • Create and Use Dataset Object
    • Create DFR3 and Mapping Objects
    • Create Earthquakes
    • Create Tornadoes
    • An example of Joplin tornado scenario analysis with Joplin retrofit plan
    • Create Network Dataset
  • Frequently asked questions
  • IN-CORE workshops
    • Workshop May 26, 2021
      • Session 2: working with Hazards (Tornado and Earthquake)
      • Session 2: Assignment
      • Session 2: Assignment Answer
      • Session 3: Damage analysis (buildings and electric power facilities)
      • Session 3: Assignment
      • Session 3: Assignment
      • Session 4: Visualization of outputs
      • Session 4: Assignment
      • Session 4: Assignment explanation and answers
    • Lifeline workshop January 31, 2022
      • Session 1: Introduction to Jupyter Notebook
      • Session 2: Working with Hazards (Tornado and Earthquake)
      • Session 3: Building Damage Analysis
      • Session 4: Damage Analyses on Lifelines
  • Example Notebooks
    • Galveston Testbed
    • Joplin Tornado Example
    • Lumberton Testbed
    • Seaside Example Notebook 1: Multi-Hazard Building Damage
    • MMSA: Seismic Functionality Analysis for Interdependent Buildings-Water-Power using Fragility and Repair Rate Curves
    • MMSA: Seismic Functionality and Restoration Analysis for Interdependent Buildings-Water-Power using Restoration Curves
    • Other Examples
  • Technical References
  • Useful links
  • Contact Information
  • Acknowledgement
  • IN-CORE Terms of Service
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  • .md
Contents
  • Python and Virtual environment
  • Jupyter Notebook and Lab
  • IN-CORE related

Useful links

Contents

  • Python and Virtual environment
  • Jupyter Notebook and Lab
  • IN-CORE related

Useful links#

Python and Virtual environment#

  • Miniconda: Installing Miniconda

  • Anaconda or Miniconda? Conda documentation and differences.

  • Anaconda: Installing on Windows, Installing on macOS and Installing on Linux, and Frequently asked questions

Jupyter Notebook and Lab#

  • A Beginner’s Guide to installing Jupyter Notebook using Anaconda distribution. Opening a Jupyter Notebook on Windows.

  • For details on running and manipulating ipynb files refer to Jupyter documentation. If you have problems running Notebooks, check our WIKI questions page or contact us at incore-dev@lists.illinois.edu.

IN-CORE related#

  • IN-CORE Lab extends from Jupyter Lab. To Learm more about Jupyter Lab, see Jupyter Lab and blog.

  • IN-CORE’s Frequently Asked Questions (FAQ) and WIKI Questions) for detail information.

  • The Building analysis Jupyter Notebook is also available at IN-CORE project on GitHub.

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Technical References

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Contact Information

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