Title	Author	Categories	Date
Getting Started with CALFEWS	Sai Veena	Uncategorized	06/03/2024
Ensemble forecasting - application	Zach Brodeur	Uncategorized, Machine-learning, Synthetic-generation, Literature, Hydrologic-models, Ai, Climate-change, Weather, News, Overview, Climate	05/20/2024
Sankey diagrams for USGS gauge data in python(?)	Trevor Amestoy	Uncategorized, Tutorial, Visualization, Demo, Programming, Getting-started, Python, Figure-editing, Plotly, Tips, Tips-and-tricks, Tutorials, Dataviz	05/15/2024
A quick introduction to GPU Programming in Python	Lillian Lau	Dl, Machine-learning, Cpu, Gpu-programming, Cpus, Gpus, Ai, Colab, Parallel-computing, Python, Cuda, Cloud-computing, Google-colab, Neural-networks, Pytorch, Tutorials, Tensor-multiplication, Gpu	05/27/2024
Performing runtime diagnostics using MOEAFramework	Lillian Lau	Exercises, Tutorial, Diagnostics, Linux, Training, Programming, Moeaframework, Java, Software, Python	04/23/2024
Colorado State Decision Tools	Sai Veena	Hydrology, Uncategorized, Data, Environment, Water-assessment, Climate-change, Decision-tool, Gis, Colorado	05/07/2024
Ensemble forecasting - theory	Zach Brodeur	Uncategorized, Synthetic-generation, Science, Literature, Statistics, Numerical-methods, Weather, Butterfly-effect, Meteorology, Overview, Climate	04/15/2024
Introduction to Bayesian Regression using PyMC	Trevor Amestoy	Tutorial, Pymc, Training, Programming, Introduction, Statistics, Getting-started, Bayesian, Software, Python, Model, Regression, Tips, Tips-and-tricks, Tutorials, Bayesian-modeling	04/11/2024
Parallel Programming Part 2: Demonstrating OpenMP constructs with a simple test case	Lillian Lau	C, Pragma, Tutorial, Programming, Code-examples, Constructs, Parallel-programming, Openmp, High-performance-computing, Parallel-computing, Hpc	03/27/2024
Python Profiling with line_profiler	Sai Veena	Uncategorized, Runtime, Cpython, Pandas, Python, Data-science, Lineprofile	04/01/2024
Nonstationary stochastic watershed modeling	Zach Brodeur	Uncategorized, Machine-learning, Synthetic-generation, Time-series, R, Environment, Hydrologic-models, Statistics, Python, Data-science	03/11/2024
Parallel Programming Part 1: A brief introduction to OpenMP directives and constructs	Lillian Lau	C, Programming, Openmp, Hpc, High-performance-computing	03/04/2024
Interactive Visualization of Scientific Data and Results with Panel	davidlafferty94	Visualization, Tutorials, Python	02/27/2024
Tipping Points: Harnessing Insights for Resilient Futures	Marilyn Smith	Uncategorized	02/14/2024
The Thomas-Fiering Model for Synthetic Streamflow Generation with a Python Implementation	Trevor Amestoy	Uncategorized, Synthetic, Synthetic-generation, Tutorial, Programming, Python, Model, Hydrology, Tutorials	02/08/2024
A quick and straightforward introduction to LIME	Lillian Lau	Exercises, Xai, Uncategorized, Machine-learning, Scenario-discovery, Tutorial, Sensitivity-analysis, Programming, Ai, Local-interpretable-model-agnostic-explanations, Gradient-boosted-trees, Python, Xgboost, Regression-trees, Data-science, Explainable-ai, Lime, Artificial-intelligence	01/30/2024
Geocoding Using Google API Key in Python	Marilyn Smith	Uncategorized, Tutorial, Programming, Code-examples, Python, Tutorials	01/22/2024
12 Years of WaterProgramming: A Retrospective on >500 Blog Posts	Trevor Amestoy	Uncategorized, Retrospective, Blog, Statistics, Getting-started, Python, Web-publishing, Wordpress	01/15/2024
Infrastructure Investment Selection as a Two-Stage Stochastic Programming Problem (Part 2)	Lillian Lau	Exercises, Gurobi, Tutorial, Linear-programming, Stochastic-programming-tutorial, Programming, Stochastic-programming, Python, Cvxpy, Two-stage-stochastic-programming	12/18/2023
An introduction to linear programming for reservoir operations (part 2) - Implementation with Pyomo	Trevor Amestoy	Exercises, Uncategorized, Lp, Linear-programming, Tutorial, Reservoir, Programming, Code-examples, Getting-started, Python, Tutorials, Overview	12/01/2023
Runtime Visualization of MOEA with Platypus in Python	Michael Luo	Visualization, Programming, Project-platypus, Python, Jupyter, Matplotlib	11/14/2023
Infrastructure Investment Selection as a Two-Stage Stochastic Programming Problem (Part 1)	Lillian Lau	2-stage-stochastic-programming, Uncategorized, Tutorial, Programming, Stochastic-programming, Tutorials	11/07/2023
Communicating model architecture with Python Diagrams	Andrew Hamilton	Uncategorized, Diagrams, Tutorial, Visualization, Modeling, Programming, Python	10/11/2023
An introduction to linear programming for reservoir operations (part 1)	Trevor Amestoy	Exercises, Decision, Uncategorized, Tutorial, Linear-programming, Toy-problem, Optimization, Training, Hydroelectric, Reservoir, Programming, Introduction, Getting-started, Hydrology, Tips, Tips-and-tricks, Tutorials, Overview	10/02/2023
How ChatGPT Helped Me To Convert a MATLAB Toolbox to Python and Learn Python Coding	vyildiz65	Matlab, Programming, Ai, Chatgpt, Python	09/18/2023
Weather Regime-Based Stochastic Weather Generation (Part 2/2)	Nasser Najibi	Risk-assessment, Synthetic-generation, Diagnostics, Hydrologic-models, Climate-change, Statistics, Water-management, Weather-generator, Model-performance, Tutorials	09/05/2023
The Reed Group Lab Manual for efficient training & open science	Andrew Hamilton	Uncategorized, Tutorial, Markdown, Training, Programming, Jupyter-notebook, Open-source, Reed-group, Python, Lab-manual	09/01/2023
Exploring droughts produced by an ensemble of synthetically generated streamflow records	David Gold	Uncategorized	08/25/2023
An overview of the National Hydrologic Model	Trevor Amestoy	Usgs, Prms, Uncategorized, Data, Hydrologic-models, Nhm, Getting-started, Model, Nhd, Geospatial-modeling, Overview, Datasets	08/18/2023
Weather Regime-Based Stochastic Weather Generation (Part 1/2)	Rohini Gupta	Uncategorized, Synthetic-generation, R, Tutorials	08/07/2023
Variance-based local time varying sensitivity analysis: A tutorial	Lillian Lau	Tutorial, Variance-based-sensitivity-analysis, Training, Visualization, Sensitivity-analysis, Programming, Time-varying-sensitivity-analysis, Python, Global-sensitivity-analysis	08/01/2023
Legacy Code Reborn: Wrapping C++ into MATLAB Simulink	raffaelegiuseppecestari	C, Matlab, Tutorial, Wrappers, Programming, Simulink, Tips	09/13/2023
A customizable script for flexible & attractive parallel axis plots in Python	Andrew Hamilton	Python, Visualization, Uncategorized, Parallel-axis-plots	07/27/2023
Multiobjective design of a cantilever beam - an interactive pedagogical example	David Gold	Moea, Optimization, Pareto-dominance, Project-platypus, Python, Multiobjective-optimization, Platypus, Many-objective-concepts	07/21/2023
Rodionov's Regime Shift Detection Algorithm and the "Epic Pluvial" in the Delaware Basin	Trevor Amestoy	Drb, Uncategorized, Tutorial, Time-series, Rodionov, Programming, Literature, Statistics, Python, Regimes, Nyc, Tutorials, Climate	07/07/2023
Intro to HDF5/h5py and comparison to CSV for speed & compression	Andrew Hamilton	Uncategorized, Data, Timing, Data-compression, Python, Hdf5, File-input-output	06/22/2023
Parameter estimation of Hidden Markov Models using a Markov Chain Monte Carlo method in Julia	Lillian Lau	Hidden-markov-models, Hmm, Mcmc, Synthetic-streamflow-generation, Tutorial, Markov-chain-monte-carlo, Programming, Synthetic-timeseries, Julia, Streamflow, Jupyter, Tutorials, Bayesian-modeling, Markov-chain	06/12/2023
Highlighting the Excellence in Systems Analysis Teaching and Innovative Communication (ECSTATIC) Repository	Rohini Gupta	Training, Uncategorized, Tutorials, Overview	06/05/2023
Figure Library Part 2 - Visualizations Supporting Synthetic Streamflow Diagnostics	Trevor Amestoy	Uncategorized, Synthetic-generation, Time-series, Diagnostics, Synthetic-streamflow-generation, Visualization, Programming, Synthetic-timeseries, Statistics, Getting-started, Python, Figure-editing, Figure-library, Tips	05/24/2023
Building the Reed Group Figure Library - Part 1 Visualizations Supporting MOEA Diagnostics	David Gold	Visualization, Programming, Moea-diagnostics, Python, Lab-manual, Many-objective-concepts	05/16/2023
Optimizing reservoir operations with Reinforcement Learning, Pt 1: Creating a custom Gymnasium environment	Andrew Hamilton	Uncategorized, Tutorial, Gym, Programming, Reservoirs, Reinforcement-learning, Python, Control, Proximal-policy-optimization	04/27/2023
The Colorado River Basin: Exploring its Past, Present, and Future Management	Audrey Noziere	Drought-mitigation, Uncategorized, Colorado, Training, Drought, Literature, Getting-started, Water-management, Overview	05/01/2023
Exploring Internal Variability with Hidden Markov Models in Our Newly Published eBook Interactive Tutorial	Rohini Gupta	Drought-mitigation, Uncategorized, Training, Statistics, Tutorials	04/17/2023
Deep Reinforcement Learning with PPO (the ML kind, not the health insurance kind)	Lillian Lau	Uncategorized, Deep-reinforcement-learning, Programming, Sb3, Ppo2, Rl, Proximal-policy-optimization, Openai, Machine-learning, Tutorial, Jupyter, Ppo, Tutorials, Exercises, Gym, Openai-gym, Reinforcement-learning, Python, Drl	04/12/2023
Creating Interactive Geospatial Maps in Python with Folium	Trevor Amestoy	Hyriver, Mapping, Uncategorized, Tutorial, Geospatial, Visualization, Programming, Folium, Python, Jupyter, Web-publishing, Tutorials, Geospatial-modeling, Dataviz	04/05/2023
Exploring time-evolving vulnerability with the newly published interactive tutorial in the Addressing Uncertainty in MultiSector Dynamics Research eBook	David Gold	Ebook, Multisector-dynamics, Visualization, Programming, Jupyter-notebook, Python, Scenario-discovery, Tutorials	03/31/2023
Causality for Dummies	Lillian Lau	Ccms, Information-theoretic, Pcmci, Granger-causality, Causal-discovery, Correlation, For-dummies, Causality, Literature, Cross-convergent-mapping, Pc, Causal-theory, Causal-inference, Overview	03/14/2023
Introducing the GRRIEn Analysis Framework: Defining standards for reproducible and robust supervised learning of earth surface processes at large spatial scales	Rohini Gupta	Uncategorized, Machine-learning, Statistics, Git-and-github, Model-performance, Geospatial-modeling	03/06/2023
Detecting Causality using Convergent Cross Mapping: A Python Demo using the Fisheries Game	David Gold	Causal-inference, Jupyter, Python, Ccm	02/21/2023
Intro to PID controllers with a reservoir example	Andrew Hamilton	Reservoirs, Python, Uncategorized, Control	02/08/2023
Using drawdata and Mercury in Jupyter Notebooks	Rohini Gupta	Uncategorized, Machine-learning, Training, Jupyter, Tips-and-tricks, Tutorials	01/30/2023
Structuring a Python Project: Recommendations and a Template Example	Trevor Amestoy	Uncategorized, Tutorial, Training, Workflow, Programming, Getting-started, Organization, Python, Tips, Tips-and-tricks, Tutorials, Overview, File-management	01/18/2023
Ringing in the year with a lil' bit of Tkinter	Lillian Lau	Uncategorized, Tutorial, Programming, Graphical-user-interface, Tkinter, Gui, Tkinter-gui, User-interface, Waterpaths, Python, Tutorials, How-to-make-a-python-gui, Tkinter-tutorial	01/09/2023
Animating figures with Manim: A citation network example	Andrew Hamilton	Uncategorized, Tutorial, Visualization, Citation, Animation, Python	12/20/2022
The Building Blocks of Time Series Analysis (plus a demo!)	Lillian Lau	Matlab, Uncategorized, Time-series-analysis, Tutorial, Time-series, Programming, Filtering, Spectrograms, Fourier-transforms	11/30/2022
QPPQ Method for Streamflow Prediction at Ungauged Sites - Python Demo	Trevor Amestoy	Exercises, Uncategorized, Tutorial, Time-series, Qppq, Training, Programming, Hydrologic-models, Predictions, Python, Streamflow, Hydrology, Tutorials, Pub	11/22/2022
Creating a collaborative lab manual pt. 2: Automated build & deploy with GitHub Actions	Andrew Hamilton	Uncategorized, Github, Jupyter-notebook, Github-actions, Python	11/09/2022
Copula Coding Exercise	Rohini Gupta	Uncategorized, R, Time-series, Training, Statistics, Tips-and-tricks, Tutorials	10/31/2022
Markdown-Based Scientific and Computational Note Taking with Obsidian	Trevor Amestoy	Uncategorized, Productivity, Markdown, Literature, Obsidian, Organization, Latex, Jupyter, Tips-and-tricks	10/21/2022
Enhancing Jupyter Notebooks for Teaching	Rohini Gupta	Uncategorized, Training, Visualization, Jupyter, Tips-and-tricks, Tutorials	10/10/2022
Creating a collaborative research group lab manual with Jupyter Books	Andrew Hamilton	Uncategorized, Websites, Training, Github, Jupyter-notebook, Python	09/30/2022
Efficient hydroclimatic data accessing with HyRiver for Python	Trevor Amestoy	Uncategorized, Api, Visualization, Hydrologic-models, Python, Data-management, Tips-and-tricks, Geospatial-modeling	09/20/2022
Fisheries Training Part 2 – Tradeoff Visualization and Introduction to J3	Lillian Lau	D3-js, Fishgame, Training, Pyborg, Data-visualization, D3, Predator-prey, J3, Programming, Project-platypus, Many-objective-robust-decision-making, Tutorial, Visualization, Interactive-data-visualization, Fisheries, Mordm, Borg, Exercises, Borg-moea, Python	09/14/2022
Bivariate choropleth maps	Andrew Hamilton	Uncategorized, Tutorial, Maps, Visualization, Python, Gis	09/08/2022
A Hidden-Markov Modeling Based Approach to Creating Synthetic Streamflow Scenarios	Rohini Gupta	Statistics, Training, Uncategorized, Tutorials	08/30/2022
Time-evolving scenario discovery for infrastructure pathways	David Gold	Visualization, Tutorials, Python, Many-objective-robust-decision-making, Scenario-discovery, Tips, Infrastructure-pathways	08/25/2022
Fisheries Training Part 1 - Harvest Optimization and MOEA Diagnostics	Trevor Amestoy	Borg, Exercises, Tutorial, Fishgame, Training, Pyborg, Project-platypus, Python, Many-objective-robust-decision-making, Platypus, Predator-prey, Tutorials	08/08/2022
Cythonizing your Python code, Part 2: Next steps with reservoir simulation	Andrew Hamilton	Uncategorized, Cython, Simulation, Reservoirs, Python	08/05/2022
Constructing interactive Ipywidgets: demonstration using the HYMOD model	Trevor Amestoy	Uncategorized, Tutorial, Education, Visualization, Code-examples, Hydrologic-models, Python, Hydrology, Tutorials	07/20/2022
Fisheries Training 0: Exploring Predator-Prey Dynamics	Lillian Lau	Analytics, Tutorial, Training, Visualization, Programming, Binder, Jupyter-notebook, Python, Lotka-volterra, Jupyter-lab, Fisheries	07/12/2022
Viewing your Scientific Landscape with VOSviewer	Rohini Gupta	Uncategorized, Bibliographic-network, Visualization, Vosviewer, Tips-and-tricks, Tutorials	07/05/2022
Cythonizing your Python code, Part 1: the basics.	Andrew Hamilton	Uncategorized, Efficiency, Programming, Cython, Python	06/29/2022
A time-saving tip for simulating multiple scenarios	Trevor Amestoy	Uncategorized, Efficiency, Diagnostics, Timing, Python, Model-performance, Tips	06/14/2022
Introduction to Drought Metrics	Rohini Gupta	Matlab, Uncategorized, Statistics, Tips-and-tricks, Tutorials	06/06/2022
Generating synthetic timeseries while preserving historic correlation: A case study for reservoir inflow and water demand	Trevor Amestoy	Exercises, Uncategorized, Synthetic-generation, Time-series, Correlation, Statistics, Python	06/01/2022
Containerizing your code for HPC (Docker + Singularity)	Andrew Hamilton	Hpc, Uncategorized, Docker, Containers	05/25/2022
Continuous Deployment with GitHub Actions (or, What Gives Life to a Living eBook?)	Travis Thurber	Uncategorized, Tutorial, Ci-cd, Github, Github-actions, Git-and-github, Tips-and-tricks, Tutorials	05/09/2022
MORDM IX: Discovering scenarios of consequence	Lillian Lau	Boosted-trees, Factor-mapping, Machine-learning, Scenario-discovery, Visualization, Visual-analytics, Python, Pandas, Many-objective-robust-decision-making, Robust-decision-making, Mordm	06/20/2022
A step-by-step tutorial for scenario discovery with gradient boosted trees	David Gold	Boosted-trees, Factor-mapping, Sk-learn, Machine-learning, Sensitivity-analysis, Factor-ranking, Python, Many-objective-robust-decision-making, Scenario-discovery, Tutorials	04/22/2022
Checkpointing and restoring runs with the Borg MOEA	Andrew Hamilton	Borg, Python, Borg-moea, High-performance-computing	04/13/2022
Using Python, Sphinx, and reStructuredText to Create a Book (and Introducing our eBook: Addressing Uncertainty in Multisector Dynamics Research!)	Rohini Gupta	Uncategorized, Tutorial, Restructuredtext, Python, Tutorials, Sphinx	04/07/2022
Running a Python script using Excel macros	Lillian Lau	Run-python-in-excel, Linking-excel-to-python, Linking-python-to-excel, Macros, Tutorial, Excel-vba, Visualization, Vba, Excel, Execute-python-in-excel, Visual-basic, Python, Excel-macros, How-to-write-a-macro	03/30/2022
To parallelize or not to parallelize? On performance of hybrid schemes in Python with the Borg MOEA	Andrew Hamilton	Uncategorized, Borg-moea, Lake-problem, Parallel-programming, Hpc, Python	03/24/2022
Clustering basics and a demonstration in clustering infrastructure pathways	Trevor Amestoy	Uncategorized, Tutorial, K-means, Code-examples, Hierarchical, Python, Clustering, Infrastructure-pathways	03/16/2022
Efficient Storage and Querying of Geospatial Data with Parquet and DuckDB	Rohini Gupta	Uncategorized, R, Sql, Duckdb, Data-management, Tips-and-tricks, Tutorials	03/07/2022
MORDM VII: Optimality, robustness, and reevaluation under deep uncertainty	Lillian Lau	Analytics, Tutorial, Linux, Optimization, Programming, Robustness, Slurm, Research-triangle, Python, Bash, Du-reevaluation, Many-objective-robust-decision-making, Mordm	03/01/2022
Root finding algorithm basics	Trevor Amestoy	Uncategorized, Bisection, Numerical-methods, Python, Root-finding, Newton-raphson	02/24/2022
Milton Friedman's thermostat and sensitivity analysis of control policies	Andrew Hamilton	Information-theory, Sensitivity-analysis, Uncategorized, Control	02/17/2022
Understanding Information Usage in Machine Learning Models	Rohini Gupta	Uncategorized, Machine-learning, Overview	02/07/2022
Containerizing Rhodium with Docker	Lillian Lau	Containerization, Rhodium, Containers, Project-platypus, Programming, Docker, Python	02/01/2022
Five tips for creating visually appealing scientific posters	Antonia Hadjimichael	Visualization, Agu, Poster, Conference	12/17/2021
Data Augmentation for Time Series Application	Rohini Gupta	Uncategorized, Time-series	11/29/2021
The ma-R-velous tidyverse	Lillian Lau	Tidyverse, Data-management, Programming, R	11/17/2021
Plotting change on maps	Antonia Hadjimichael	Maps, Visualization, Data-visualization, Python, Cartopy, Shift-map, Matplotlib	11/15/2021
Easy batch parallelization of code in any language using mpi4py	David Gold	Programming, Code-examples, Unix, Slurm, Python, Parallel-computing, High-performance-computing	11/10/2021
Tips for Creating Watershed Maps in R	Rohini Gupta	Uncategorized, R, Visualization, Tips-and-tricks, Tutorials, Geospatial-modeling	10/18/2021
MORDM VIII: Characterizing the effects of deep uncertainty	Lillian Lau	Uncategorized, Tutorial, Heatmaps, Visualization, Sensitivity-analysis, Programming, Python, Many-objective-robust-decision-making, Robust-decision-making, Mordm, Tutorials, Matplotlib, Tips	04/26/2022
Make LaTeX easier with custom commands	David Gold	Latex	10/05/2021
Teaching Tools for Complex Adaptive Systems	Rohini Gupta	Visualization, Uncategorized, Software	09/20/2021
A non-intimidating introduction to parallel computing with Numba	Lillian Lau	Exercises, Tutorial, Multithreading, Diagnostics, Parallel-computing, Python, High-performance-computing, Hpc, Numba	09/13/2021
Simple profiling checks for running jobs on clusters	Antonia Hadjimichael	Cluster, Profiling, Slurm, High-performance-computing, Tips, Tips-and-tricks	09/08/2021
Basics of data visualization with ggplot2	Ananya Gangadhar	Tutorial, R, Visualization, Programming, Tips, Tips-and-tricks, Tutorials	08/30/2021
Custom Plotting Symbols in R	Calvin Whealton	Visualization, R, Customized-visualization	08/23/2021
Introduction to PyBorg - basic setup and running	Antonia Hadjimichael	Borg, Pyborg, Project-platypus, Tutorials, Software, Python, Moea-optimization, Many-objective-concepts	08/13/2021
MORDM Basics VI: Processing the output and reevaluating for robustness	Lillian Lau	Parallel-coordinates, Pandas, Many-objective-robust-decision-making, Python, Many-objective-concepts, Matplotlib	10/13/2021
MORDM Basics V: WaterPaths Tutorial	Lillian Lau	Borg, C, Uncategorized, Tutorial, Borg-moea, Github, Master, Mordm, Git	08/02/2021
Measuring the parallel performance of the Borg MOEA	David Gold	Borg, Parallel-computing, High-performance-computing	07/26/2021
Fitting and Simulating from NHMMs in R	Rohini Gupta	Uncategorized, Tutorial, R, Nhmm	07/15/2021
How to schedule massively parallel jobs on clusters - some basic ways	Antonia Hadjimichael	Gnu, Slurm, Parallel-computing, Hpc, High-performance-computing	06/30/2021
The ABCs of MOEAs	Lillian Lau	Borg, Moea, Glossary, Bibliography-management, Many-objective-concepts	06/22/2021
CNNs for Time Series Applications	Rohini Gupta	Uncategorized, Machine-learning, Time-series, Time-series-forecasting, Tutorials	06/14/2021
Scaling experiments: how to measure the performance of parallel code on HPC systems	David Gold	Weak-scaling, Strong-scaling, Amdahls-law, Scaling, Parallel-computing, Hpc, High-performance-computing	06/07/2021
MORDM Basics IV: Visualizing ROF-Storage Dynamics (finally)	Lillian Lau	Rof, Uncategorized, Hydrologic-models, Research-triangle, Python, Many-objective-robust-decision-making, Risk-of-failure, Ssi6, Mordm	06/01/2021
NetCDF Operators	Rohini Gupta	Uncategorized, Linux, Netcdf, Bash, Tips-and-tricks, Tutorials, Overview	05/17/2021
Visualizing large directed networks with ggraph in R	Ananya Gangadhar	R, Networks, Visualization, Network-analysis, Programming, Data-visualization	05/11/2021
MORDM Basics III: ROF Triggers and Performance Objective Tradeoffs	Lillian Lau	Rof, Drought-mitigation, Rof-triggers, Trade-offs, Python, Many-objective-robust-decision-making, Mordm	04/27/2021
Do The (Schaake) Shuffle	Rohini Gupta	Statistics, Time-series-forecasting, Uncategorized, Introduction	04/12/2021
Potential Biases and Pitfalls of Machine Learning	keyvan Malek	Statistics, Uncategorized, Machine-learning	03/31/2021
MORDM Basics II: Risk of Failure Triggers and Table Generation	Lillian Lau	Risk-analysis, Rof, Uncategorized, Rof-triggers, Risk-options-analysis, Adaptation, Water-supply-planning, Research-triangle, Risk-of-failure, Deep-uncertainty, Mordm, Water-portfolio-planning	03/22/2021
Automate remote tasks with Paramiko	Antonia Hadjimichael	Workflow, Ssh, File-transfer, Python, High-performance-computing, Sftp, Tips-and-tricks, File-management	03/17/2021
Introduction to Convergent Cross Mapping	Rohini Gupta	Uncategorized, Convergent-cross-mapping, Causality, Code-examples, Introduction, Statistics	03/12/2021
Writing sharable Python code part II: Unit Testing	David Gold	Programming, Code-examples, Unit-testing, Specifications, Python	03/08/2021
MORDM Basics I: Synthetic Streamflow Generation	Lillian Lau	Matlab, Drought-mitigation, Synthetic-streamflow-generation, Time-series, Synthetic-timeseries, Hydrologic-models, Internal-variability, Climate-change, Research-triangle, Python, Many-objective-robust-decision-making, Stochastic-hydrology, Stochastic-streamflow-generation, Deep-uncertainty, Mordm	02/15/2021
How do we deal with extreme events and imbalanced datasets in machine learning?	keyvan Malek	Uncategorized	02/08/2021
Introduction to Granger Causality	Rohini Gupta	Statistics, Uncategorized	02/01/2021
Writing sharable Python code	David Gold	Documentation, Programming, Code-examples, Python, Docstring, Function-specification	01/26/2021
Basic network analysis on a directed network using NetworkX	Antonia Hadjimichael	Networks, Networkx, Uncategorized, Visual-analytics	01/19/2021
ggplot (Part 4) – Animated Geospatial Maps	tinakarimi	Visualization, Uncategorized, R	01/11/2021
Taylor Diagram	keyvan Malek	Model-performance, Visualization, Uncategorized	12/22/2020
Networks on maps: exploring spatial connections using NetworkX and Basemap	Antonia Hadjimichael	Pyplot, Networks, Maps, Networkx, Basemap, Programming, Pandas, Python, Tutorials, Geospatial-modeling, Matplotlib	12/15/2020
Making the Most of Predictor Data for Machine Learning Applications	Rohini Gupta	Uncategorized, Machine-learning	12/07/2020
A video training on Rhodium	David Gold	Rhodium, Project-platypus, Python, Many-objective-robust-decision-making, Tutorials	11/30/2020
Parallel axis plots for the absolute beginner	Lillian Lau	Parallel-coordinates, Parallel-axis-plots, Parallel-coordinate-plots, Visualization, Numpy, Reed-research-group, Parallel-axis, Reed-group, Python, Beginner, Multiobjective-optimization, Matplotlib	11/09/2020
ggplot (Part 3) - Animating Sensitivity Analysis Indices	tinakarimi	Visualization, Sensitivity-analysis	11/02/2020
Apply Functions in R and Python	keyvan Malek	Uncategorized, Python	10/26/2020
PyCharm and Git for productive multi-project workflows	Antonia Hadjimichael	Workflows, Pycharm, Version-control, Workflow, Programming, Getting-started, Software, Python, Git-and-github, Anaconda, Ides, Conda, Python-environments	10/19/2020
Introduction to Google Cloud Platform	Rohini Gupta	Cloud-computing, Uncategorized, Tutorial	10/12/2020
Automate unit testing with Github Actions for research codes	Andrew Dircks	Uncategorized	10/05/2020
More on subplots with Matplotlib	David Gold	Visualization, Programming, Python, Subplots, Matplotlib	09/28/2020
Spatial statistics (Part 3): Geographically Weighted (GW) models	tinakarimi	Uncategorized, R, Visualization, Statistics, Geospatial-modeling	09/21/2020
Introducing the R Package "biascorrection"	keyvan Malek	Uncategorized, Modeling, Biascorrection, Hydrology, R-package	09/15/2020
How to automate scripts on a cluster	Antonia Hadjimichael	Cron, Data-backup, Job-submission, Programming, Unix, Getting-started, High-performance-computing, Bash, Parallel-computing, Job-scheduling, Data-management, Tutorials, Automation	09/08/2020
Introduction to Wavelets	Rohini Gupta	Uncategorized, R, Statistics, Tutorials, Overview	08/31/2020
Everything you want to know about subplots in Python's Matplotlib	David Gold	Pyplot, Tight_layout, Layout, Visualization, Programming, Gridspec, Python, Subplots, Matplotlib	08/27/2020
Spatial statistics (Part 2): Spatial Regression Models	tinakarimi	Statistics, R, Geospatial-modeling	08/18/2020
Using Rhodium for exploratory modeling	Andrew Dircks	Rhodium, Visualization, Project-platypus, Exploratory-modeling, Python	08/10/2020
How to make horizon plots in Python	Antonia Hadjimichael	Data, Time-series, Visualization, Sensitivity-analysis, Visual-analytics, Python	08/04/2020
Visualizing High Dimensional Data Using the T-SNE Method	keyvan Malek	Visualization, Uncategorized, Machine-learning	07/27/2020
Using the Python Borg Wrapper - Lake Problem Example	Andrew Dircks	Borg, Python-wrapper, Borg-moea, Programming, Mpi, Python	07/21/2020
Deeper Dive into Self-Organizing Maps (SOMs)	Rohini Gupta	Uncategorized, Machine-learning, R, Visualization, Statistics, Overview	07/20/2020
Lower dimensional visualizations of many-objective Pareto Fronts	David Gold	Moea, Mds, Som, Visualization, Manifold, Sammon-mapping, Visual-analytics, Mova, Python, Many-objective-visual-analytics, Many-objective-concepts, Isomap	07/14/2020
Spatial statistics (Part 1): Spatial Autocorrelation	tinakarimi	Statistics, Visualization, R, Geospatial-modeling	07/07/2020
Causal Inference Using Information-Theoretic Approaches	keyvan Malek	Uncategorized	06/29/2020
Getting started with API requests in Python	Antonia Hadjimichael	Webscraping, Machine-learning, Data, Api, Get, File-transfer, Getting-started, Python, Json, Data-management, Tutorials	06/23/2020
The New and Improved Borg R Wrapper	Rohini Gupta	Uncategorized, Tutorials, R, Overview	06/19/2020
Visualizing the diversity of a Pareto front approximation using RadVis	David Gold	Uncategorized, Runtime-diagnostics, Diagnostics, Visualization, Python, Moea-performance, Many-objective-concepts	06/16/2020
Displaying Interactions with chordDiagram in R	tinakarimi	Visualization, Sensitivity-analysis, R	06/01/2020
A template for reproducible papers	Antonia Hadjimichael	Research-tips, Programming, Github, Getting-started, Software, Reproducibility, Web-publishing, Tutorials	05/26/2020
Information Theory and Moment-Independent Sensitivity Indices	keyvan Malek	Sensitivity-analysis	05/18/2020
Interactive Lake Problem Visualizations Using Altair	Rohini Gupta	Uncategorized, Visualization, Python, Pandas, Tutorials	05/11/2020
Beyond Hypervolume: Dynamic visualization of MOEA runtime	David Gold	Borg, Parallel-coordinates, Moea, Runtime-diagnostics, Random-seed-analysis, Diagnostics, Visualization, Python, Many-objective-concepts	05/06/2020
Parallel File Compressing in Linux	tinakarimi	Data-management, File-transfer, Bash	04/27/2020
Publication-Quality Illustrations in R	keyvan Malek	Visualization, R	03/30/2020
Remote terminal environment using VS Code for Windows and Mac	Andrew Dircks	Uncategorized, Vs-code, Virtual-machine, Ssh, Unix, Thecube, File-transfer, Bash, Sftp, Ides, Data-management, Tips-and-tricks, File-management	03/31/2020
Determining the appropriate number of samples for a sensitivity analysis	Antonia Hadjimichael	Diagnostics, Sensitivity-analysis, Salib, Factor-prioritization, Sobol, Python	03/23/2020
Parallel processing with R on Windows	tinakarimi	Uncategorized, Programming, Parallel-computing, R	03/16/2020
Using Docker with Virtual Machines	Rohini Gupta	Cloud-computing, Uncategorized, Machine-learning, Tutorials	03/09/2020
Make your Git repository interactive with Binder	David Gold	Rhodium, R, Binder, Julia, Jupyter-notebook, Python	03/03/2020
Sensitivity Analysis Tools	keyvan Malek	Sensitivity-analysis, Uncategorized	02/25/2020
Factor prioritization and factor fixing: how to know what's important	Antonia Hadjimichael	Factor-fixing, Analytics, Diagnostics, Sensitivity-analysis, Salib, Factor-prioritization, Sobol, Python, Code-sample, Delta-method	02/17/2020
Accessing a Virtual Machine in Red Cloud	Rohini Gupta	Cloud-computing, Uncategorized, Tutorials, Overview	02/10/2020
More on simple Bash Shell scripts (examples of “find” and “sed”)	tinakarimi	Uncategorized, Linux, Programming, Code-examples, Shell-scripts, Getting-started, Bash	01/29/2020
EnGauge: R Code Repository for Environmental Gauge Data Acquisition, Processing, and Visualization	Jared D. Smith	Visualization, Data-management, Software, R	02/03/2020
Performing Experiments on HPC Systems	David Gold	Programming, Cluster, Hpc, High-performance-computing, Parallel-computing, Data-management	01/27/2020
So What’s the Rationale Behind the Water Programming Blog?	Antonia Hadjimichael	Wicked-problems, Evolutionary-algorithms, Many-objective-concepts, Literature, Resources, Getting-started, Hypothesis-testing, Deep-uncertainty, Complex-systems, Artificial-intelligence, Control, Overview	01/23/2020
R Shiny, Part 2	keyvan Malek	Uncategorized	12/16/2019
R Shiny - Part 1	keyvan Malek	Visualization, Uncategorized, Programming, R	11/19/2019
ggplot (Part 2)	tinakarimi	Visualization, Uncategorized, R	11/11/2019
Hydro Packages in R: HydroGOF	keyvan Malek	Hydrology, Visualization, Uncategorized, R	10/28/2019
Beginner’s Guide to TensorFlow and Keras	Rohini Gupta	Uncategorized, Machine-learning, Tutorials	10/21/2019
Dynamic Emulation in Water Resources Applications	Rohini Gupta	Uncategorized, Machine-learning	09/26/2019
ggplot (Part 1)	tinakarimi	Visualization, R	09/09/2019
A Python Implementation of grouped Radial Convergence Plots to visualize Sobol Sensitivity Analysis results	David Gold	Rhodium, Visualization, Sensitivity-analysis, Salib, Python	08/27/2019
MOEAFramework Training Part 4: Processing Metrics and Creating Visualizations	Rohini Gupta	Moeaframework, Uncategorized, Tutorials, Diagnostics	08/20/2019
More Terminal Schooling	Bernardo Trindade	Uncategorized, Make, Cygwin, Programming, Unix, High-performance-computing, Bash, Data-management, Tips-and-tricks, Tutorials, File-management	04/13/2020
Variable Infiltration Capacity (VIC) Model- Part 2	keyvan Malek	Modeling, Hydrology, Hydrologic-models	08/12/2019
Profiling your Python script using cProfile	Antonia Hadjimichael	Programming, Code-examples, Profiling, Learning-programming, Python, Methods, Tutorials	08/05/2019
MORDM using Rhodium - the lake problem workflow	Antonia Hadjimichael	Uncategorized	09/18/2019
On Parallelization of the Borg MOEA	David Gold	Borg, Multi-master-borg, Master-worker-borg, Borg-moea, Parallel-programming, Mpi, Parallel-computing, High-performance-computing	07/29/2019
Introduction to Variable Infiltration Capacity (VIC) Model	keyvan Malek	Uncategorized	07/15/2019
Packages for Hydrological Data Retrieval and Statistical Analysis	Jared D. Smith	Statistics, R, Python	07/08/2019
MOEAFramework Training Part 3: Calculating Metrics	Rohini Gupta	Uncategorized, Tutorials, Moeaframework	07/01/2019
Examining Robustness Metrics using Rhodium	David Gold	Rhodium, Project-platypus, Programming, Robustness, Lake-problem, Software, Python, Many-objective-robust-decision-making, Mordm	06/27/2019
Spatial and temporal visualization of water demands in a basin	Antonia Hadjimichael	Analytics, Water-use, Maps, Visualization, Visual-analytics, Animation, Python, Cartopy, Matplotlib	06/11/2019
Parasol Resources	William Raseman	Parallel-coordinates, Visualization, Parasol, Web-development	06/04/2019
MOEAFramework Training Part 2: Optimization of an External Problem	Rohini Gupta	Uncategorized, Tutorials, Diagnostics	05/29/2019
R-Markdown	keyvan Malek	Uncategorized, R, Markup-language, Rmarkdown, Latex	05/13/2019
Parasol: an open source, interactive parallel coordinates library for multi-objective decision making	William Raseman	Parallel-coordinates, Visualization, Parasol, Software, Web-development	05/13/2019
Radial convergence diagram (aka chord diagram) for sensitivity analysis results and other inter-relationships between data	Antonia Hadjimichael	Rhodium, Uncategorized, Figure-preparation, Visualization, Sensitivity-analysis, Project-platypus, Scientific-figures, Salib, Open-source, Sobol, Python, Figure-editing	05/06/2019
Parallelization of C/C++ and Python on Clusters	Bernardo Trindade	C, Uncategorized, Programming, Code-examples, Slurm, Python, High-performance-computing, Tips-and-tricks, Tutorials	04/24/2019
Performing random seed analysis and runtime diagnostics with the serial Borg Matlab wrapper	David Gold	Borg, Matlab, Uncategorized, Diagnostics, Programming, Tutorials, Getting-started, Bash, Many-objective-concepts	04/17/2019
MOEAFramework Training Part 1: Connecting an External Problem	Rohini Gupta	C, Uncategorized, Diagnostics, Moeaframework, Java, Tips-and-tricks, Tutorials	04/15/2019
Geospatial Mapping in R	keyvan Malek	R, Maps, Visualization, Programming, Gdal, Geographical-information, Tutorials, Geospatial-modeling	04/05/2019
From MATLAB to Julia: Insights from Translating an Opensource Kirsch-Nowak Streamflow Generator to Julia	Peter Storm	Matlab, Uncategorized, Time-series, Programming, Julia, Git-and-github	03/27/2019
Interactive visualizations of high-dimensional data using J3	Antonia Hadjimichael	Visualization, Project-platypus, Tools, Tutorials, Software, Python, Many-objective-robust-decision-making, Many-objective-concepts	03/18/2019
Intro to Boosting	Bernardo Trindade	Statistics, Uncategorized, Machine-learning, Python	03/13/2019
Intro to Machine Learning Part 6: Gaussian Naive Bayes and Logistic Regression	David Gold	Sk-learn, Machine-learning, Code-examples, Statistics, Scikit-learn, Python, Matplotlib	03/05/2019
Magnitude-varying sensitivity analysis and visualization (Part 2)	Antonia Hadjimichael	Time-series, Visualization, Sensitivity-analysis, Code-examples, Sobol, Python, Code-sample, Matplotlib	02/28/2019
Magnitude-varying sensitivity analysis and visualization (Part 1)	Antonia Hadjimichael	Uncategorized, Time-series, Plotting, Visualization, Code-examples, Python, Many-objective-robust-decision-making, Code-example	02/26/2019
Introducing Julia: A Fast and Modern Language	Peter Storm	Programming, Jupyter-notebook, Julia, Ides, Jupyter-lab	02/19/2019
Introduction to Unit Testing	Bernardo Trindade	Exercises, Uncategorized, Programming, Getting-started, Python, Tips-and-tricks, Tutorials, Overview	02/12/2019
Intro to Machine Learning Part 5: Bagging	Rohini Gupta	Uncategorized, Machine-learning, Overview	02/04/2019
Intro to machine learning part 4: Support Vector Machines	David Gold	Machine-learning, Classification, Getting-started, Scenario-discovery, Svm	01/29/2019
Intro to Machine Learning Part 3: Bias-Variance Tradeoff	Rohini Gupta	Uncategorized, Machine-learning	12/18/2018
Discriminant analysis for classification	Antonia Hadjimichael	Machine-learning, Mahalanobis, Classification, Multivariate-statistics, Discriminant-analysis, Statistics, Data-mining	12/03/2018
Introduction to Borg Operators Part 1: Simplex Crossover (SPX)	Sara Alkayali Alalam	Borg, Uncategorized, Code-examples, Python, Operator, Simplex-crossover	11/26/2018
Interacting with Plotted Functions Using Jupyter Notebooks ipywidgets with matplotlib	Peter Storm	Uncategorized, Visualization, Python, Figure-editing, Tips-and-tricks, Tutorials, Matplotlib	11/19/2018
Introduction to DiscoveryDV	Rohini Gupta	Uncategorized, Visualization, Discoverydv, Tutorials, Overview	11/05/2018
Google Earth Pro: the cool, the trade-offs and the limits	charlesrouge	Maps, Visualization, Geographical-information, Open-source, Google-earth, Tips-and-tricks, Tutorials	10/29/2018
A Beginner's Guide to Visualizing Trade Offs across Multiple Objectives using the Python Bokeh Library	Sara Alkayali Alalam	Uncategorized, Trade-offs, Visualization, Code-examples, Bokeh, Pandas, Python, Tips-and-tricks, Tutorials	10/22/2018
Introduction to Gaussian Processes	Bernardo Trindade	Statistics, Uncategorized, Machine-learning, Bayesian-modeling	10/17/2018
Time series forecasting in Python for beginners	Antonia Hadjimichael	Exercises, Uncategorized, Time-series, Optimization, Time-series-forecasting, Getting-started, Python, Tutorials	10/09/2018
From Frequentist to Bayesian Ordinary Linear Regression	Bernardo Trindade	Statistics, Machine-learning, Bayesian-modeling	10/04/2018
Intro to Machine Learning Part 2: Binary Classification With Perceptron	David Gold	Neural-networks, Uncategorized, Machine-learning, Perceptron	09/28/2018
Intro to Machine Learning: Classification using K-NN	David Gold	Machine-learning, Getting-started, K-nearest-neighbor, Curse-of-dimensionality, Overview	09/18/2018
Google Dataset Search (beta): Revolutionize your Data Searches and Database Exposure	Peter Storm	Uncategorized	09/07/2018
Implementation of the Moving Average Filter Using Convolution	Rohini Gupta	Uncategorized, Tutorials, Python, Overview	09/04/2018
Converting Latex to MS Word docx (almost perfectly)	Bernardo Trindade	Programming, Literature, Tips-and-tricks, Tutorials, File-management	08/26/2018
Recommended Software for the Kasprzyk Group	William Raseman	Introduction, Software, Overview	08/15/2018
Establishing an Effective Data Backup Strategy for Your Workstation	Peter Storm	Uncategorized, Data-backup, File-transfer, Git-and-github, Data-management, Tips-and-tricks, File-management	09/07/2018
Tips for Creating Animated Graphics (GIFs)	Peter Storm	R, Illustrator, Visualization, Figure-editing, Tips-and-tricks, Overview	07/31/2018
Multivariate Distances: Mahalanobis vs. Euclidean	William Raseman	Distance-metrics, Mahalanobis, R, Euclidean, K-nearest-neighbor	07/24/2018
Update on setting up the Borg Matlab Wrapper on Windows and tips for its use	Felipe Cordera	Getting-started, Tips-and-tricks, Matlab	07/19/2018
Guide to Your First Year in the Reed Research Group	Rohini Gupta	Training, Getting-started, Tips-and-tricks, Overview	07/13/2018
Fitting Hidden Markov Models Part II: Sample Python Script	Julie	Synthetic-streamflow-generation, Time-series, Programming, Synthetic-weather-generation, Python, Matplotlib	07/03/2018
Fitting Hidden Markov Models Part I: Background and Methods	Julie	Synthetic-weather-generation, Synthetic-streamflow-generation, Time-series	07/03/2018
Setting Up and Customizing Python Environments using Conda	Peter Storm	Environment-variables, Programming, Getting-started, Python, Tips-and-tricks, Conda, Python-environments	06/29/2018
Installing EPA SWMM on a Mac using WineBottler	JR Kasprzyk	Wine, Software, Windows, Swmm, Tips-and-tricks, Mac, Winebottler	06/18/2018
Evaluating and visualizing sampling quality	charlesrouge	Visualization, Sensitivity-analysis, Tutorials, Python	06/11/2018
Creating shaded dial plots in python	David Gold	Dial-plot, Visualization, Gauge-plot, Speedometer, Tips-and-tricks, Matplotlib	06/04/2018
Creating Dendrograms in R	Rohini Gupta	Uncategorized, R, Visualization, Hierarchical, Statistics, Clustering, Tips-and-tricks, Tutorials	05/28/2018
Creating parallel axis plots with multiple datasets, color gradients, and brushing in Python	Bernardo Trindade	Python, Visualization, Code-examples, Matplotlib	05/18/2018
Logistic Regression for Scenario Discovery	Julie	Visualization, Sensitivity-analysis, Python, Matplotlib	05/04/2018
Using HDF5/zlib compression in NetCDF4, part 2: testing the compression settings	charlesrouge	Data-backup, Netcdf, Data-compression, Testing, Profiling, Hdf5, Data-management, Tips-and-tricks, File-management	04/24/2018
Launching Jupyter Notebook Using an Icon/Shortcut in the Current Working Directory Folder	Peter Storm	Cmd, Windows-icon, Jupyter-notebook, Python, Jupyter-lab, Windows, Command-prompt, Tips, Tips-and-tricks, Windows-shortcut, Lnk	04/19/2018
A Deeper Dive into Principal Component Analysis	Rohini Gupta	R, Principal-component-analysis, Multivariate-statistics, Getting-started, Statistical-analysis, Tips-and-tricks, Multicollinearity, Overview	04/10/2018
Simple Bash shell scripts that have made my life easier	David Gold	Linux, Programming, Code-examples, Unix, Shell-scripts, Getting-started, Bash, Tips-and-tricks, Tutorials	04/06/2018
Policy Diagnostics with Time-Varying and State Space PDFs	Julie	Visualization, Python, Matplotlib	03/28/2018
Making Valgrind Easy	Bernardo Trindade	C, Uncategorized, Cygwin, Memory-debugging, Programming, High-performance-computing, Tutorials	03/25/2018
What is resilience in water resources systems?	charlesrouge	Uncategorized	03/17/2018
A completely non-exhaustive list of tutorial resources for scientific computing	Antonia Hadjimichael	Exercises, C, Matlab, Uncategorized, Code-examples, Getting-started, Python, Tips-and-tricks, Tutorials	03/13/2018
Types of Errors in Numerical Methods	Rohini Gupta	Exercises, Numerical, Methods, High-performance-computing, Error, Computing	02/21/2018
Plotting trajectories and direction fields for a system of ODEs in Python	Antonia Hadjimichael	Scipy, Visualization, Plot, Python, Lotka-volterra, Predator-prey, Equilibrium, Matplotlib, Tips	02/12/2018
Transitioning from R to Python with Spyder	Rohini Gupta	Tutorials, Python, Overview	01/22/2018
Job scheduling on HPC resources	David Gold	Uncategorized, Job-submission, Unix, Resources, Pbs, Slurm, High-performance-computing, Hpc, Parallel-computing, Job-scheduling, Tips	06/25/2018
Jupyter Notebook: A "Hello World" Overview	Peter Storm	Tutorials, Python, Jupyter-notebook	01/13/2018
Preparing Data for a Time Series Analysis	Rohini Gupta	Uncategorized, R, Time-series	12/18/2017
Directed search with the Exploratory Modeling workbench	jhkwakkel	Emaworkbench, Code-examples, Pandas, Python, Many-objective-robust-decision-making, Tutorials	12/11/2017
Installing a Native Ubuntu Terminal on Windows 10	Bernardo Trindade	Uncategorized	01/29/2018
Nondimensionalization of differential equations - an example using the Lotka-Volterra system of equations	Antonia Hadjimichael	Uncategorized, Mathematical-biology, Modeling, Lotka-volterra, Predator-prey	12/04/2017
Open exploration with the Exploratory Modelling Workbench	jhkwakkel	Emaworkbench, Sensitivity-analysis, Code-examples, Sobol, Python, Many-objective-robust-decision-making	11/19/2017
Animations (2/2)	charlesrouge	Visualization, Python	11/15/2017
Animations (1/2)	charlesrouge	Visualization, Tutorials, Visit	11/15/2017
An Introduction to Copulas	David Gold	Uncategorized	11/11/2017
Using the Exploratory Modelling Workbench	jhkwakkel	Emaworkbench, Code-examples, Software, Python, Many-objective-robust-decision-making, Tutorials	11/01/2017
Simple tricks to make your C/C++ code run faster	Bernardo Trindade	C, Uncategorized, Code-examples, Python, Tips-and-tricks, Tutorials	10/29/2017
Generating Interactive Visuals in R	Rohini Gupta	Visualization, Tutorials, R	10/09/2017
Python example: Hardy Cross method for pipe networks	JR Kasprzyk	Exercises, Programming, Engineering, Hydraulics, Hardy-cross, Getting-started, Python, Code-example, Tutorials	10/02/2017
Time Series Modeling: ARIMA Notation	William Raseman	Time-series, Notation, Moving-average, Autoregressive, Arma	09/29/2017
Introduction to Docker	charlesrouge	Software-porting, Virtual-machine, Getting-started, Docker, Bash	09/26/2017
Exploring the stability of systems of ordinary differential equations – an example using the Lotka-Volterra system of equations	Antonia Hadjimichael	Predator-prey, Uncategorized, Equilibrium, Overview	09/22/2017
Let your Makefile make your life easier	David Gold	C, Uncategorized, Make, Programming, Code-examples, Pbs, Overview	09/20/2017
Web Scraping: Constructing URLs, Downloading and Unpacking Zipped Files in Python and R	Peter Storm	Webscraping, R, Python	10/17/2017
Get your research workflow on	Jazmin Zatarain	Tips-and-tricks, Bibliography-management	09/12/2017
Open Source Streamflow Generator Part II: Validation	Julie	Python, Matlab, Synthetic-streamflow-generation, Git-and-github	08/29/2017
Open Source Streamflow Generator Part I: Synthetic Generation	Julie	Python, Matlab, Synthetic-streamflow-generation, Git-and-github	08/29/2017
Reading CSV files in C++	Bernardo Trindade	C, Tips-and-tricks, Programming	08/20/2017
Glossary of commonly used terms	Antonia Hadjimichael	Getting-started, Many-objective-concepts, Literature	08/11/2017
Enhance your (Windows) remote terminal experience with MobaXterm	David Gold	Uncategorized, Ssh, Unix, Scp, Thecube, Bash, Mobaxterm, Sftp, Data-management, Tips-and-tricks	08/04/2017
Developing parallelised code with MPI for dummies, in C (Part 2/2)	barneycodefest	Programming, Code-examples, Pbs, Parallel-programming, Tips-and-tricks, Tutorials	07/28/2017
Debugging: Interactive techniques and print statements	William Raseman	Uncategorized, Programming, Debugging, Print-statements	07/26/2017
Developing parallelised code with MPI for dummies, in C (Part 1/2)	barneycodefest	Programming, Code-examples, Pbs, Parallel-programming, Tips-and-tricks, Tutorials	07/21/2017
Dynamic memory allocation in C++	Jazmin Zatarain	C, Memory-debugging	07/10/2017
Reed Group's basic C++ code style conventions	Bernardo Trindade	C, Tips-and-tricks, Programming, Code-examples	06/27/2017
Water Programming Blog Guide (Part 2)	Jazmin Zatarain	Many-objective-concepts, Overview, Water-programming-blog-guide	06/20/2017
Profiling C++ code with Callgrind	Bernardo Trindade	C, Uncategorized, Programming, Profiling, Software, Tips-and-tricks, Tutorials	06/09/2017
Introduction To Econometrics: Part II- Violations of OLS Assumptions & Methods for Fixing them	David Gold	Overview, Econometrics	05/30/2017
An Introduction To Econometrics: Part 1- Ordinary Least Squares Regression	David Gold	Econometrics, Literature, Getting-started, Regression, Least-squares, Overview	05/13/2017
Map making in Matlab	Jon Lamontagne	Matlab, Uncategorized, Maps, Visualization, Code-examples, Plot, Figure-editing, Shapefile, Tips, Gis	04/30/2017
Water Programming Blog Guide (3)	Jazmin Zatarain	Uncategorized	08/23/2017
Water Programming Blog Guide (Part I)	Jazmin Zatarain	Getting-started, Water-programming-blog-guide	04/19/2017
Using Borg in Parallel and Serial with a Python Wrapper - Part 2	Tom Wild	Borg, Uncategorized, Many-objective-concepts, Python	04/10/2017
Making Watershed Maps in Python	Julie	Gis, Python, Matplotlib	04/03/2017
9 basic skills for editing and creating vector graphics in Illustrator	Jazmin Zatarain	Illustrator, Adobe-illustrator, Getting-started, Figure-editing, Tips	04/01/2017
A visual introduction to data compression through Principle Component Analysis	David Gold	Matlab, Data, Visualization, Data-compression, Getting-started, Statistical-analysis, Tips-and-tricks, Principle-component-analysis, Overview	03/21/2017
Solving non-linear problems using linear programming	Jon Lamontagne	Uncategorized, Linear-programming, Optimization, Non-linear-programming, Simulation, Getting-started, Tips-and-tricks	03/13/2017
Using Borg in Parallel and Serial with a Python Wrapper - Part 1	Tom Wild	Borg, Uncategorized, Programming, Borg-moea, Simulation, Python, Moea-optimization, Many-objective-concepts	03/06/2017
A simple allocation optimization problem in Platypus	Jazmin Zatarain	Tutorials	03/04/2017
Dealing With Multicollinearity: A Brief Overview and Introduction to Tolerant Methods	David Gold	Collinearity, Estimators, Ridge-regression, Multivariate-statistics, Modeling, Statistics, Hypothesis-testing, Regression, Multicollinearity, Tutorials, Overview, Lasso-regression	02/23/2017
Calculating Risk-of-Failures as in the Research Triangle papers (2014-2016) - Part 1	Bernardo Trindade	Drought-mitigation, Uncategorized, Literature, Getting-started, Overview	02/14/2017
Synthetic streamflow generation	Jon Lamontagne	Uncategorized, Literature, Statistics, Stochastic-streamflow-generation, Stochastic-hydrology, Hydrology, Statistical-analysis, Overview	02/07/2017
Using Rhodium for RDM Analysis of External Dataset	Julie	Multiobjective, Python, Many-objective-robust-decision-making	01/30/2017
Alluvial Plots	Bernardo Trindade	Uncategorized, R, Visualization, Code-examples, Many-objective-robust-decision-making, Tutorials	01/21/2017
Plotting geographic data from geojson files using Python	Jon Lamontagne	Uncategorized, Visualization, Basemap, Programming, Geojson, Software, Python, Figure-editing, Matplotlib	12/19/2016
Saving d3.parcoords to SVG	jhkwakkel	Figure-editing, Visualization, Code-examples, Many-objective-robust-decision-making	12/13/2016
Rhodium – Open Source Python Library for (MO)RDM	Julie	Multiobjective, Software, Python, Many-objective-robust-decision-making	12/02/2016
Plotting Probability Ellipses for Bivariate Normal Distributions	David Gold	Visualization, Matlab, Uncategorized, Programming	11/08/2016
Customizing color matrices in matplotlib	Jazmin Zatarain	Visualization, Tips-and-tricks	10/22/2016
A Guide to Using Git in PyCharm - Part 2	Tom Wild	Uncategorized	10/14/2016
Basic Machine Learning in Python with Scikit-learn	Bernardo Trindade	Uncategorized, Programming, Literature, Getting-started, Software, Python, Data-management	10/08/2016
A simple command for plotting autocorrelation functions in Matlab	David Gold	Matlab, Uncategorized, Visualization, Programming, Tips-and-tricks	09/27/2016
Fitting Multivariate Normal Distributions	Julie	Python, Matplotlib	09/16/2016
Easy vectorized parallel plots for multiple data sets	Jazmin Zatarain	Python, Visualization, Pandas, Matplotlib	09/12/2016
A Guide to Using Git in PyCharm - Part 1	Tom Wild	Uncategorized	09/02/2016
PBS job chaining	Bernardo Trindade	Uncategorized	08/28/2016
Root finding in MATLAB, R, Python and C++	Julie	C, Matlab, R, Programming, Python	08/18/2016
A quick example code to write data to a csv file in C++	David Gold	Uncategorized	08/12/2016
Basic implementation of the parallel Borg MOEA	Jazmin Zatarain	Borg, Tutorials	08/07/2016
Synthetic Weather Generation: Part V	Julie	Stochastic-weather-generation, Literature	07/25/2016
Getting started with C and C++	David Gold	C, Uncategorized, Tutorial, Eclipse, Programming	07/14/2016
Importing, Exporting and Organizing Time Series Data in Python – Part 2	Tom Wild	Uncategorized	07/08/2016
Compiling Code using Makefiles	William Raseman	C, Programming, Code-examples, Makefiles, Compilation	06/28/2016
Use python `cf ` and `esgf-python-client` package to interact with ESGF data portal	Yu Li	Netcdf, Python, Data-management, Tips-and-tricks, Tutorials	06/20/2016
Using HDF5/zlib Compression in NetCDF4	gggarner121	C, Tutorial, Data-backup, Netcdf, Code-examples, Data-compression, Programming, Hdf5, Tips, Data-management, Tips-and-tricks, Tutorials, File-management	06/15/2016
The Linked Parallel Coordinate Plot with Linked Heatmap: A tool for simultaneous visualization of the objective and decision spaces	David Gold	Uncategorized	06/10/2016
New web-based multi-objective data interactive visualization tools	Bernardo Trindade	Uncategorized	05/25/2016
Python's template class	Jon Lamontagne	Uncategorized, Sensitivity-analysis, Sobol, Python, Tips-and-tricks	06/03/2016
Extracting Data from Borg Runtime Files	tjclarkin	Uncategorized	05/16/2016
Interactive plotting basics in matplotlib	Jazmin Zatarain	Uncategorized	04/29/2016
Visualizing multidimensional data: a brief historical overview	David Gold	Visualization, Getting-started, Literature, Overview	04/22/2016
Synthetic Weather Generation: Part IV	Julie	Stochastic-weather-generation, Literature	04/13/2016
Debugging in Python (using PyCharm) – Part 3	Tom Wild	Programming, Python	04/08/2016
Speeding up algorithm diagnosis by epsilon-sorting runtime files	Bernardo Trindade	Uncategorized	03/29/2016
From Writing NetCDF Files in C to Loading NetCDF Files in R	gggarner121	C, Tutorial, R, Linux, Netcdf, Code-examples, Programming, Getting-started, Code-example, Data-management, Tutorials	03/21/2016
Visualization strategies for multidimensional data	Jazmin Zatarain	Tips-and-tricks, Many-objective-concepts, R, Matplotlib	03/15/2016
A beginner’s guide to narrating the multiobjective tradeoff story	David Gold	Visualization, Getting-started	03/09/2016
Making Movies of Time-Evolving Global Maps with Python	Jon Lamontagne	Uncategorized, Cygwin, Visualization, Basemap, Code-examples, Programming, Unix, Animation, Python, Matplotlib	03/01/2016
SALib v0.7.1: Group Sampling & Nonuniform Distributions	Calvin Whealton	Python, Sensitivity-analysis, Sobol, Code-examples	02/25/2016
Importing, Exporting and Organizing Time Series Data in Python - Part 1	Tom Wild	Uncategorized, Code-examples, Pandas, Python, Microsoft-excel	02/22/2016
Synthetic Weather Generation: Part III	Julie	Synthetic-weather-generation, Literature	02/15/2016
Collecting Borg's operator dynamics	Jazmin Zatarain	Uncategorized	02/05/2016
Survival Function Plots in R	gggarner121	R, Visualization, Plot, Figure-editing, Code-example, Survival-function	02/01/2016
Setup for LaTeX and Sublime	Jazmin Zatarain	Uncategorized, Latex	01/19/2016
Easy labels for multi-panel plots in R	gggarner121	Uncategorized, R, Visualization, Label, Plot, Figure-editing	12/02/2015
Debugging in Python (using PyCharm) - Part 2	Tom Wild	Python, Uncategorized, Debugging	11/09/2015
Debug in Real-time on SLURM	William Raseman	Cluster-computing, Debugging, Bash	10/18/2015
Cyberduck setup to ssh files for Mac users	Jazmin Zatarain	Uncategorized	10/07/2015
Using a virtual machine to run 32-bit software on a modern PC	JR Kasprzyk	Uncategorized, Virtual-machine, Compatibility-settings, Software, Epa-wtp-model, Windows, Virtualbox	10/03/2015
Introducing OpenMORDM	dhadka	Uncategorized, R, Open-source, Mordm, Openmordm	10/01/2015
Simple Python script to create a command to call the Borg executable	JR Kasprzyk	Borg, Moea, Borg-moea, Code-examples, Moeaframework, Python, Data-management, Code-example	09/18/2015
Debugging in Python (using PyCharm) - Part 1	Tom Wild	Python, Uncategorized, Debugging	09/10/2015
MOEA diagnostics for a simple test case (Part 3/3)	Jazmin Zatarain	Uncategorized	09/04/2015
MOEA diagnostics for a simple test case (Part 2/3)	Jazmin Zatarain	Uncategorized	08/26/2015
MOEA diagnostics for a simple test case (Part 1/3)	Jazmin Zatarain	Uncategorized	08/25/2015
Speed up your Python code with basic parallelization	Bernardo Trindade	Uncategorized	08/26/2015
Synthetic Weather Generation: Part II	Julie	Stochastic-weather-generation, Literature	08/20/2015
Synthetic Weather Generation: Part I	Julie	Stochastic-weather-generation, Literature	08/06/2015
Scenario discovery in Python	jhkwakkel	Emaworkbench, Python, Many-objective-robust-decision-making, Pandas, Matplotlib	08/05/2015
PyCharm as a Python IDE for Generating UML Diagrams	Tom Wild	Python	07/29/2015
Embedding figure text into a Latex document	Bernardo Trindade	Inkscape, Figure-preparation, Scientific-figures, Pdf, Figure-editing, Latex, Tips-and-tricks, Tutorials	07/28/2015
Parameter Description Files for the MOEAFramework algorithms and for the Borg MOEA	Jazmin Zatarain	Uncategorized	07/24/2015
Useful Linux commands to handle text files and speed up work	Bernardo Trindade	Uncategorized, Terminal, Linux, Cygwin, Unix, Command-line, Getting-started, Text-files, Tips, Data-management, Tips-and-tricks	07/22/2015
Solving Analytical Algebra/Calculus Expressions with Matlab	Jon Lamontagne	Uncategorized	09/21/2015
New Federal Flood Frequency Analysis Guidelines	Jon Lamontagne	Risk-analysis, Uncategorized, Flood-risk, Literature, Statistics, Flood-frequency-analysis, Floods	07/13/2015
Random Seed Analysis for the Borg MOEA using DTLZ2, 3 objective instance	Jazmin Zatarain	Uncategorized	07/03/2015
On constraints within MOEAs	JR Kasprzyk	Borg, Constraints, Literature, Getting-started, Moea-optimization, Restricted-tournament-selection, Many-objective-concepts, Classical-mathematical-programming	06/30/2015
Porting GCAM onto a UNIX cluster	Jon Lamontagne	C, Unix, Integrated-assessment, Hpc, Code-porting, Gcam, Iam	08/03/2015
Basic Borg MOEA use for the truly newbies (Part 2/2)	Jazmin Zatarain	Borg, Borg-moea, Tutorials, Dtlz2	06/25/2015
Setting up Eclipse for C/C++	Bernardo Trindade	C, Uncategorized, Tutorial, Eclipse, Programming, Software, Tips-and-tricks, Tutorials, Installation	06/30/2015
Power Spectral Density Estimation in Matlab	Jon Lamontagne	Exercises, Matlab, Code-examples, Classes, Code-example	08/31/2015
Google Earth as a Visualization Tool for Water Resources Systems Planning (Part 2)	Tom Wild	Visualization	06/23/2015
Google Earth as a Visualization Tool for Water Resources Systems Planning (Part 1)	Tom Wild	Reservoirs, Dams, Visualization, Google-earth	06/11/2015
Using arcpy to calculate area-weighted averages of gridded spatial data over political units (Part 2)	Julie	Python, Arcgis	06/09/2015
Using arcpy to calculate area-weighted averages of gridded spatial data over political units (Part 1)	Julie	Python, Arcgis	06/09/2015
My first experience with GitHub for sharing data and code	JR Kasprzyk	Uncategorized	05/29/2015
PBS Batch Serial Job Submission with Slot Limit	Jon Herman	Uncategorized	04/06/2015
Creating parallel axes plots	Bernardo Trindade	Parallel-axes, Visualization, Figure-editing, Plots, Gnuplot	03/24/2015
Basic Borg MOEA use for the truly newbies (Part 1/2)	Jazmin Zatarain	Uncategorized	06/25/2015
Terminal basics for the truly newbies	Jazmin Zatarain	Uncategorized	03/17/2015
Setting Borg parameters from the Matlab wrapper	Jon Herman	Uncategorized	03/13/2015
latexdiff: "track changes" for LaTeX	Jon Herman	Uncategorized	03/13/2015
Compiling shared libraries on Windows (32 bit and 64 bit systems)	Tori Ward	Borg, Tips-and-tricks, Uncategorized	02/20/2015
Code Sample: Perl wrapper to run Borg with the Variable Infiltration Capacity (VIC) model	LH	Uncategorized	02/20/2015
Plotting Code added to Lake Problem Diagnostics Repository	Tori Ward	Visualization, Matlab, Figure-editing	01/19/2015
Algorithm Diagnostics Walkthrough using the Lake Problem as an example (Part 3 of 3: Metrics-based analysis of algorithm performance)	Tori Ward	Borg, Programming, Code-examples, Pbs, Moeaframework, Software, Git-and-github, Bash	01/19/2015
Algorithm Diagnostics Walkthrough using the Lake Problem as an example (Part 2 of 3: Calculate metrics for Analysis) Tori Ward	Tori Ward	Borg, Programming, Code-examples, Pbs, Moeaframework, Software, Git-and-github, Bash	01/19/2015
Overleaf: LaTeX Collaboration and Publication	aawats	Uncategorized	01/16/2015
Programming language R is gaining prominence in the scientific community	JR Kasprzyk	Uncategorized	01/05/2015
Thanks for a great 2014! Our year in review	JR Kasprzyk	Uncategorized	01/04/2015
Python - Extract raster data value at a point	Jon Herman	Data-management, Raster, Gdal, Python	10/07/2014
Python - Clip raster data with a shapefile	Jon Herman	Raster, Basemap, Gdal, Python, Shapefile, Data-management	10/03/2014
Interpolation and resampling across projections and spatial resolutions with GDAL	benlivneh	Uncategorized	09/30/2014
Getting Started: Git and GitHub	aawats	Getting-started, Git-and-github, Github, Git	09/29/2014
Introduction to mpi4py	Jon Herman	Uncategorized	09/25/2014
Scientific figures in Illustrator	Jon Herman	Illustrator, Scientific-figures, Adobe-illustrator, Vector-graphics, Figure-editing, Matlab-eps	09/18/2014
Using a local copy of Boost on your cluster account	JR Kasprzyk	C, Makefile, Boost	09/02/2014
Algorithm Diagnostics Walkthrough using the Lake Problem as an example (Part 1 of 3: Generate Pareto approximate fronts)	Tori Ward	Borg, Exercises, Code-examples, Moeaframework, Software, Git-and-github, Bash, Tips-and-tricks, Tutorials	01/19/2015
Determining Whether Differences in Diagnostic Results are Statistically Significant (Part 2)	Tori Ward	Uncategorized, Statistical-analysis	08/27/2014
Running jobs on the supercomputer: JANUS	benlivneh	Submitting-jobs, Cluster, Unix, Code-examples, Getting-started, Bash, Janus	09/05/2014
How to set up MinGW for the first time	JR Kasprzyk	Environment-variables, Compilers, Programming, Mingw, Makefiles, Getting-started, Windows, Installation	07/24/2014
PDFExtract: Get a list of BibTeX references from a scholarly PDF	Jon Herman	Software, Bibliography-management, Latex	07/24/2014
Determining Whether Differences in Diagnostic Results are Statistically Significant (Part 1)	Tori Ward	Exercises, Code-examples, Moeaframework, Statistical-analysis, Tips-and-tricks, Tutorials	08/27/2014
RSS Feeds for Water Resources Journals	Jon Herman	Uncategorized	07/14/2014
R plotting examples added to Matlab and Matplotlib plotting examples	Tori Ward	Matlab, R, Visualization, Code-examples, Getting-started, Git-and-github, Tips-and-tricks, Tutorials, Matplotlib	07/24/2014
Parallel plots in R	JR Kasprzyk	Parallel-coordinate, R, Visualization, Programming, Parallel-axis, Many-objective-visual-analytics, Code-example	07/07/2014
Default parameters for MOEAFramework algorithms and Borg	Tori Ward	Borg, Tips-and-tricks, Moeaframework	07/10/2014
Basic NetCDF processing in Matlab	JR Kasprzyk	Matlab, Uncategorized, Data, Netcdf	06/25/2014
NumPy vectorized correlation coefficient	Jon Herman	Uncategorized	06/13/2014
Runtime metrics for MOEAFramework algorithms, extracting metadata from Borg runtime, and handling infinities	Tori Ward	Borg, Uncategorized, Code-examples, Moeaframework, Data-management, Tips-and-tricks	07/03/2014
Plotting a map of NetCDF data with Matplotlib/Basemap	Jon Herman	Data-management, Python, Matplotlib	04/30/2014
Reducing size of NetCDF spatial data with list representation	Jon Herman	Uncategorized	04/30/2014
Converting ASCII data to NetCDF (Python)	Jon Herman	Data-management, Python	04/28/2014
Compiling OpenSees on the Janus cluster	JR Kasprzyk	C, Structural-engineering, Unix, Code-examples, Simulation, Compilation, Getting-started, Makefile, Earthquake, Opensees	04/25/2014
Invoking a Matlab wrapper while running a Parallel C process	JR Kasprzyk	C, Matlab, Parallel, Environment-variables, Wrapper, Code-examples, Code-mixing, Getting-started	04/25/2014
Thoughts on using models with a long evaluation time within a Parallel MOEA framework	JR Kasprzyk	Parallel, Getting-started, Many-objective-concepts, Pseudocode	04/24/2014
Compiling MODFLOW2005 on the Janus computing cluster	JR Kasprzyk	Modflow, Unix, Code-examples, Compilation, Getting-started, Makefile	04/22/2014
Send all optimization algorithms the same model when comparing performance!	Tori Ward	Borg, Tips-and-tricks, Moeaframework	06/12/2014
Job dependency in PBS submission	Jon Herman	Uncategorized	04/02/2014
When coloring stacked solutions in Aerovis, make sure colorbar is first turned off.	Tori Ward	Uncategorized	04/19/2014
Runtime dynamics with serial Borg	Tori Ward	Borg, Getting-started, Tutorials, Exercises	03/18/2014
Compiling the Borg Matlab Wrapper (OSX/Linux)	Jon Herman	Borg, Matlab	02/18/2014
Extensions of SALib for more complex sensitivity analyses	Jon Herman	Sensitivity-analysis, Sobol	02/11/2014
Compiling, running, and linking a simulation model to Borg: LRGV Example	JR Kasprzyk	Uncategorized, Borg-moea, Simulation	01/24/2014
Compiling the Borg Matlab Wrapper (Windows)	Jon Herman	Borg, Matlab	01/21/2014
Data Visualization Resources	matt	Bibliography, Visualization, Resources	12/20/2013
Updated rainfall-runoff models	Jon Herman	Uncategorized	11/10/2013
Diffusion in a 2D Box	Jon Herman	Uncategorized	11/02/2013
Python makes the world go 'round	Jon Herman	Uncategorized	11/02/2013
Announcing version 1.0 of pareto.py	matt	Lgpl, Multiobjective, Nondomination, Many-objective-concepts, Pareto, Programming, Free-software, Open-source, Python, Git-and-github, Optimal, Epsilon, Nondominated-sort	10/29/2013
Globus Connect for Transferring Files Between Clusters and Your Computer	JR Kasprzyk	Ssh, Cluster, File-transfer, Data-management, Tips-and-tricks, Globus-online	10/22/2013
Running tmux on the cluster	matt	Tmux, Running, Unix, Cluster, Without-root, Software, Building, Tips-and-tricks	10/21/2013
Method of Morris (Elementary Effects) using SALib	Jon Herman	Sensitivity-analysis, Sobol, Python, Software	09/23/2013
Git branch in bash prompt	Jon Herman	Uncategorized	09/18/2013
Announcing pareto.py: a free, open-source nondominated sorting utility	matt	Lgpl, Multiobjective, Nondomination, Many-objective-concepts, Programming, Free-software, Open-source, Python, Pareto, Epsilon, Nondominated-sort	09/18/2013
Comparing Data Sets: Are Two Data Files the Same?	matt	Tips-and-tricks, Programming, Python	09/16/2013
Python for automating cluster tasks: Part 2, More advanced commands	JR Kasprzyk	Tutorial, Programming, Code-examples, Unix, Cluster, Python, Tips, Tips-and-tricks, Tutorials	09/16/2013
Python for automating cluster tasks: Part 1, Getting started	JR Kasprzyk	Tutorial, Programming, Code-examples, Unix, Cluster, Python, Tips-and-tricks, Tutorials	09/13/2013
Zotero group for shared, synced references	Jon Herman	Uncategorized	07/24/2014
Git on thecube	matt	Unix, Programming, Thecube, Git-and-github, Tips-and-tricks, Git	10/29/2013
The Module Command in PBS Scripts on Thecube	matt	Qsub, Module-load, Unix, Pbs, Thecube, Python, Bash, Tips-and-tricks	10/29/2013
Integrating a MOEA with a sample water management problem	JR Kasprzyk	Getting-started, Many-objective-concepts, Overview	08/20/2013
Running Sobol Sensitivity Analysis using SALib	Jon Herman	Sensitivity-analysis, Sobol, Python, Software	08/05/2013
Matlab and Matplotlib Plotting Examples	matt	Line-plot, Matlab, Gridded-data, Cdf, Scatter-plot, Visualization, Filled-line-plot, Programming, Animated-gif, Animation, Python, Histogram, Matplotlib	08/01/2013
Generating .gifs from Matlab Figures	Jon Herman	Tips-and-tricks, Matlab, Sensitivity-analysis	07/31/2013
Colorbrewer: Color palettes for your figures	Jon Herman	Matlab, Tips-and-tricks	07/22/2013
MOEA Performance Metrics	JR Kasprzyk	Epsilon-indicator, Generational-distance, Many-objective-concepts, Moeaframework, Hypervolume, Moea-performance, Tutorials	06/25/2013
Writing a Paper in Markdown Using Pandoc	matt	Tips-and-tricks, Software, Latex	06/07/2013
All of the Analysis Code for my Latest Study is on GitHub	matt	Visualization, Sensitivity-analysis, Code-examples, Moeaframework, Sobol, Git-and-github, Pandas, Python, Source-control, Data-management, Matplotlib	06/07/2013
GitHub Pages	JR Kasprzyk	Github, Git-and-github, Web-publishing, Code-sharing, Octopress, Git	05/29/2013
Making ssh better	Jon Herman	Tips-and-tricks, Unix	05/02/2013
Re-evaluating solutions using Python subprocesses	JR Kasprzyk	Programming, Code-examples, Cluster, Moeaframework, Unix, Command-line, Python, External-problem, Tips, Tips-and-tricks	04/16/2013
Many Objective Robust Decision Making (MORDM): Concepts and Methods	Jon Herman	Tutorial, Literature, Code-examples, Tutorials, Decision-framework, Moeaframework, Getting-started, Many-objective-robust-decision-making, Many-objective-concepts, Deep-uncertainty	04/16/2013
Connecting to an iPython HTML Notebook on the Cluster Using an SSH Tunnel	matt	Port-forwarding, Ipython, Visualization, Ssh, Tunnel, Software, Python, Pandas, Html-notebook, Tutorials, Matplotlib	02/14/2013
Installing IPython	matt	Setup, Notebook, Getting-started, Software, Python, Ipython, Installation	02/14/2013
Python Data Analysis Part 2: Pandas / Matplotlib Live Demo	matt	Ipython, Visualization, Demo, Code-examples, Pandas, Python, Tutorials, Matplotlib	02/14/2013
Using linux "split"	JR Kasprzyk	Split, Linux, Man, Unix, Programming, Command-line, Bash, Tips, Data-management, Tips-and-tricks, File-management	02/09/2013
Python Data Analysis Part 1c: Borg Runtime Metrics Plots	matt	Exercises, Visualization, Python, Pandas, Tutorials, Matplotlib	02/08/2013
Python Data Analysis Part 1b: Setting up Matplotlib and Pandas	matt	Python	02/08/2013
Python Data Analysis Part 1a: Borg Runtime Metrics Plots (Preparing the Data)	matt	Exercises, Data-management, Python	02/05/2013
PBS Job Submission with Python	Jon Herman	Uncategorized	01/24/2013
Quick testing of code online	JR Kasprzyk	C, Codepad, Programming, Testing, Ideone, Tips-and-tricks	12/27/2012
New Windows install? Here's how to get everything set up	JR Kasprzyk	Getting-started, Software	08/21/2013
Intro to git Part 2: Remote Repositories	Jon Herman	Source-control	10/29/2012
Welcome to our blog!	JR Kasprzyk	Uncategorized	10/28/2012
Symbolic Links	matt	Tips-and-tricks, Unix, File-management	10/27/2012
What's taking up space on your cluster account?	matt	Tips-and-tricks, Unix, File-management	10/27/2012
Training video: Cluster job submission basics	JR Kasprzyk	Moea, Tutorial, Moeaframework, Gui, Tutorials, Video	10/26/2012
Training video: MOEAFramework, submitting multiple random seeds	JR Kasprzyk	Moea, Tutorial, Moeaframework, Gui, Tutorials, Video	10/26/2012
Training video: MOEAframework Sobol Sensitivity Analysis	JR Kasprzyk	Tutorials, Sensitivity-analysis, Sobol, Moeaframework	10/26/2012
Training video: Elements of Problem Formulation	JR Kasprzyk	Moea, Tutorial, Video, Tutorials, Gui, Moeaframework, Getting-started, Many-objective-concepts, Overview	10/26/2012
Intro to git Part 1: Local version control	Jon Herman	Source-control	10/29/2012
Get more screens ... with screen	Jon Herman	Uncategorized	10/25/2012
Key bindings for Bash history-search	Jon Herman	Uncategorized	10/23/2012
Some ideas for your Bash submission scripts	JR Kasprzyk	Tutorial, Job-submission, Unix, Code-examples, Cluster, Code-sample, Bash, Tips-and-tricks, File-management	10/11/2012
Additional information on MOEAframework Setup Guide	mxgiuliani	Moeaframework	10/11/2012
Debugging MPI By Dave Hadka	JR Kasprzyk	C, Debugging, Unix, Memory-debugging, Programming, Valgrind, Mpi, Tips-and-tricks, Gdb	10/10/2012
Starting out with the R Sensitivity Package	Jon Herman	Uncategorized	09/20/2012
Building the PSUADE diagnostics library on Linux	Jon Herman	Software	09/14/2012
MOEAframework on Windows	JR Kasprzyk	Installing, Tutorial, Java-development-kit, Moeaframework, Getting-started, Java, Windows, Tutorials	09/12/2012
Running Sobol Sensitivity Analysis using MOEAFramework	Jon Herman	Software, Moeaframework	08/13/2012
How to specify constraints in MOEAframework (External Problem)	JR Kasprzyk	Uncategorized	08/09/2012
Training video: Java file for external problems	JR Kasprzyk	Moea, Tutorial, Rosenbrock, Moeaframework, Java, External-problem, Tutorials, Video	08/08/2012
Training video: MOEAFramework GUI	rlu5001	Moea, Tutorial, Moeaframework, Gui, Tutorials, Video	08/01/2012
WordPress: How to post a Screenr/YouTube video	JR Kasprzyk	Tutorial, Youtube, Screenr, Tutorials, Wordpress	08/01/2012
Training Video: External problems in MOEAFramework	JR Kasprzyk	C, Moea, Tutorial, Code-examples, Rosenbrock, Moeaframework, External-problem	08/01/2012
Using Linux input redirection in a C++ code test	JR Kasprzyk	C, Numerical-algorithms, Tutorial, Linux, Unix, Code-examples, Input-redirection, Programming, Testing, Bash, Tips, Code-example	08/01/2012
Using linux "grep"	JR Kasprzyk	Linux, Man, Unix, Programming, Search-for-strings, Command-line, Bash, Grep, Tips, Tips-and-tricks	07/18/2012
Using linux "cut"	JR Kasprzyk	Cat, File-processing, Linux, Unix, Code-examples, Scripting, Bash, Tips, Tips-and-tricks, Cut	06/26/2012
Using gdb, and notes from the book "Beginning Linux Programming"	JR Kasprzyk	C, Debugging, Tutorial, Linux, Preprocessor, Unix, Cluster, Programming, Getting-started, Tips-and-tricks, Gdb, Book-recommendations	06/14/2012
Accessing Hammer With Remote Graphics - Updated	JR Kasprzyk	Remote-desktop, Visualization, Cygwin, Cluster, Hammer, Getting-started, Remote-display, X11	05/29/2012
Converting an SVG to EPS	matt	Eps, Figure-preparation, Svg, Visualization, Tutorials, Convert	05/18/2012
Emacs in Cygwin	Josh	Linux, Cygwin, Unix, Emacs	04/27/2012
Speed up your Bash sessions with "alias"	Jon Herman	C, Java, Programming, Code-examples	04/26/2012
Moving Off-screen Windows in Windows 7	ryanmckelly	Tutorial, Tipbox, Tricks, Tips, Tips-and-tricks	04/20/2012
Debugging the NWS model: lessons learned	Jon Herman	C, Programming, Code-examples	04/19/2012
Common PBS Batch Options	ryanmckelly	Parallel, Cluster, Unix, Pbs, Moeaframework, Cluster-computing, Cyberstar, Tutorials, Command-line-parameters, Overview	04/12/2012
File IO Within a Loop - Lessons Learned	Josh	C, Uncategorized, Unix, Programming, Code-examples	04/05/2012
You have a problem integrated into your MOEA, now what?	JR Kasprzyk	Getting-started, Many-objective-concepts, Tutorials	04/03/2012
Code Sample: Stacked Bars and Lines in Matlab	JR Kasprzyk	Matlab, Plotting, Plotyy, Visualization, Code-examples, Stacked-bar, Water-use	03/05/2012
AeroVis: Reproducing the DTLZ1 Animation	JR Kasprzyk	Tutorial, Visualization, Dtlz1, Aerovis, Animation, Powerpoint, Gif, Tutorials	03/01/2012
Getting the most out of academic papers	JR Kasprzyk	Web-of-knowledge, Uncategorized, Research-tips, Literature, Getting-started	02/21/2012
How to cite packages in R	JR Kasprzyk	R, Statistical-packages, Citation, Latex, Bibtex	02/20/2012
Beginner's LaTeX Guide	rlu5001	Latex	02/22/2012
C++ Training: Libraries	JR Kasprzyk	Libraries, C, Programming, Linux	02/10/2012
Using YAML in C++	JR Kasprzyk	C, Markup-language, Parameter-files, Cluster-computing, Yaml, Yaml-cpp, Libraries	02/09/2012
Setting up Python and Eclipse	Josh	Scipy, Pydev, Eclipse, Programming, Numpy, Py2exe, Software, Python, Pil, Tutorials, Matplotlib	02/02/2012
Programming Language Overview	dhadka	C, Java, Programming, Tutorials	02/01/2012
The Ternary Operator	matt	C, Java, Programming, Code-examples	01/29/2012
Zotero introduction (video)	Jon Herman	Uncategorized, Bibliography-management	01/26/2012
C++: Vectors vs. Arrays	Jon Herman	Exercises, C	01/24/2012
C++ Training: Valgrind	JR Kasprzyk	C, Programming, Memory-debugging, Cluster, Profiling	01/24/2012
C++ Training: Makefiles	JR Kasprzyk	Uncategorized	01/24/2012
MOEAs: Basic Concepts and Reading	Jon Herman	Getting-started, Many-objective-concepts	01/23/2012
C++ Training: Exercise 1	JR Kasprzyk	Exercises, C, Statistics, File-input-output, Learning-programming	01/20/2012
Virtual Machines for Remote Code Development	ryanmckelly	Tutorial, Linux, Unix, Programming, Remote-development, Getting-started, Centos, Vm, Installation, Virtualbox	02/14/2012
Meeting Notes - January 18	JR Kasprzyk	Uncategorized	01/18/2012
Running Sobol Sensitivity Analysis	Jon Herman	Software	01/18/2012
Web-based Free Options for Bibliography Management and LaTeX Editing	rlu5001	Google-docs, Bibliography-management, Latex	01/18/2012
Discrete Event System Simulation	matt	Simulation, Programming, Industrial-engineering, Operations-research	01/17/2012
"The Problem" is the Problem Formulation! Definitions and Getting Started	JR Kasprzyk	Problem-formulation, Xlrm, Multiobjective, Policy-analysis, Operations-research, Getting-started, Many-objective-concepts, Many-objective	01/18/2012
Matt's Thoughts on C++	matt	C, Classes, Programming, Stl	01/16/2012
C++ Training: Using gprof	JR Kasprzyk	Profiling, C, Unix, Gprof	01/15/2012
Code Sample: Timing Functions for C++	JR Kasprzyk	C, Code-examples	01/14/2012
An Alternative File Manager	Josh	Data-management, Software, File-manager, File-management	01/13/2012
Software for Comparing Files and Directories	Josh	Winmerge, Data-backup, Data-archiving, Software, Data-management, File-management	01/13/2012
Thoughts on Learning C++	JR Kasprzyk	C, Object-oriented-programming, Getting-started, Command-line-parameters, C-syntax	01/13/2012
AeroVis: Turning a Glyph Plot Into a Figure	matt	Inkscape, Visualization, Adobe-illustrator, Glyph-plots, Aerovis	01/16/2012
AeroVis Documentation	Josh	Visualization, Getting-started, Aerovis	01/12/2012
The Cluster and Basic UNIX Commands	Jon Herman	Ssh, Unix, Cluster-computing, Getting-started, Data-management	01/12/2012
Some WordPress Tips	JR Kasprzyk	Blog, Web-publishing, Wordpress	01/16/2012
Code Sample: Modify AeroVis files for Matlab	JR Kasprzyk	Visualization, Matlab, Code-examples, Aerovis	01/11/2012
What do you need to learn?	JR Kasprzyk	Overview	01/11/2012
Software to Install on Personal Computers - For Mac Users!	JR Kasprzyk	Apple, Visualization, Ssh, Programming, Cluster, Unix, File-transfer, Getting-started, Mac	01/11/2012
Software to Install on Personal Computers	JR Kasprzyk	Visualization, Programming, Cluster, Unix, File-transfer, Getting-started	01/20/2012
AeroVis: Notes on Making GIFs	JR Kasprzyk	Visualization, Aerovis, Getting-started, Powerpoint, Animations	01/09/2012
Publishing websites at Penn State	JR Kasprzyk	Websites, Web-publishing, Getting-started, Psu, Css, Html	01/09/2012
Welcome!	JR Kasprzyk	Uncategorized	01/09/2012
Stochastic	Rohini Gupta	Uncategorized	None
Infrastructure Sequencing as a Two-Stage Stochastic Programming Problem	Lillian Lau	Uncategorized	None
Weather Regime Based Stochastic Weather Generation (Part 1/3)	Rohini Gupta	Uncategorized	None
C	raffaelegiuseppecestari	Uncategorized	None
Exploring time-evolving vulnerability with the newly published interactive tutorial in the Addressing Uncertainty in MultiSector Dynamics Research eBook	David Gold	Uncategorized	None
None	David Gold	Uncategorized	None
Measuring the parallel performance of the Borg MOEA	David Gold	Uncategorized	None
Demonstrating scalability of parallel code on HPC systems	David Gold	Uncategorized	None
Scale-free networks and why they matter	Antonia Hadjimichael	Uncategorized	None
fgs	David Gold	Uncategorized	None
Copying classes with dynamic memory in C++	David Gold	Uncategorized	None
Data management in Rhodium and Project Platypus	Antonia Hadjimichael	Uncategorized	None
ggplot (Part 1)	tinakarimi	Uncategorized	None
Measuring the Parallel Efficiency of the Borg MOEA	David Gold	Uncategorized	None
Reed Group Interactive Visualization Tools Now Hosted on Github Pages	David Gold	Uncategorized	03/09/2018
My first blog	Jazmin Zatarain	Uncategorized	None
Avoid memory bottlenecks by understanding your cache size (working title)	David Gold	Uncategorized	None
Simplify your Unix command line experience by customizing your .bashrc	David Gold	Uncategorized	None
Making tree diagrams with D3	Jon Lamontagne	Uncategorized	None
MOEA diagnostics for a simple test case (Part 2/3)	Jazmin Zatarain	Uncategorized	08/25/2015
MOEA diagnostics for a simple test case (Part 2/3)	Jazmin Zatarain	Uncategorized	None
Quick and easy C/C++ MPI Tutorial	Jon Lamontagne	Uncategorized	None
Thoughts on using models with a long evaluation time within a Parallel MOEA framework	JR Kasprzyk	Uncategorized	None
Steps for performing comparative analysis	JR Kasprzyk	Uncategorized	None
Github miscellany	Jon Herman	Uncategorized	03/15/2013
Getting a project ready for GitHub	Jon Herman	Uncategorized	03/14/2013
Getting code ready for Github	Jon Herman	Uncategorized	01/29/2013
Processing Data Files to Extract Statistical Information	dhadka	Uncategorized	09/16/2012
Random Seed Analysis on PBS Systems	ryanmckelly	Uncategorized	None
Using gedit	alisharfernandez	Gedit, Cygwin, Uncategorized	None
Downloading Evolutionary Algorithms	JR Kasprzyk	Uncategorized	None
Discussion on Organizing Literature	Josh	Efficiency, Archiving, Data-archiving, Literature, Organization, Bibliography-management, Latex, Bibliography, Data-management, References, File-management	01/26/2012
Notes on Cygwin and Eclipse	JR Kasprzyk	Uncategorized	01/24/2012
Discussion: Moving Forward with MOEAframework	matt	Source-control, Moeaframework	01/22/2012
Objective Functions for the GAA Problem	matt	C, Programming, Code-examples, Moeaframework, Java, Software	01/21/2012
MCDM Reading List	matt	Many-objective-concepts	01/17/2012
BORG Analysis - Approximation sets, reference sets, and metrics	Jon Herman	Uncategorized, Moeaframework	01/16/2012
MOEAframework: Creating java script files for a problem	JR Kasprzyk	C, Java, Code-examples, Moeaframework	01/16/2012
MOEAframework: Communicating through stdin	JR Kasprzyk	C, Code-examples, Moeaframework	01/14/2012