Resources
A public bookmark bar. Resources for computation, operations research, academia, and more.
Install / Use
/learn @eltuck/ResourcesREADME
Resources
Consider this a public bookmark bar. These are resources I've found useful or think might be one day.
Disclaimers: still in progress, definitely not comprehensive, links may not work, and in no particular order.
I welcome any additions, suggestions, or corrections! Feel free to create a pull request or send me an email.
I've found a good portion of this from links other folks have shared on Twitter. Thanks, y'all. Also a very big thank you to everyone who created the original content.
Table of Contents
- Python
- R
- GitHub
- AMPL
- Julia
- Other languages
- General coding
- Math prog. software
- Math prog. resources
- Operations research-adjacent material
- Data viz
- Datasets
- Communication
- Healthcare
- Jobs and summer schools
- Funding
- Teaching
- Anti-racism
- Blogs I like (and read occasionally)
- Various advice
- Eclectic
Python
- Overview
- Whirlwind tour from @jakevdp
- Overview from @drvinceknight
- Scipy lecture notes
- Targeted
- Python for Mathematicians (drvincekinght)
- Python for Epidemiologists (pzivich)
- Free Textbooks
- Think Python by @AllenDowney, beginners guide, programming exp. not necessary
- Python Data Science Handbook by @jakevdp
- Intro to Machine Learning in Python by @amueller
- Bayesian Methods for Hackers (Pilon)
- Modeling and Simulation in Python by @AllenDowney, targeted towards intro undergrads
- Community
- Slack channel to learn data science in Python
- Overall tutorial
- Topics/packages
- Pandas (data processing)
- Networks
- Package: NetworkX
- Tutorial: network analysis using humanities data
- Tutorial: Chinese postman problem
- Network simplex
- Package: SNAP
- Analysis of graphs and networks
- Claims often faster and able to solve larger problems than NetworkX
- Package: NetworkX
- Simulation
- Discrete-event
- Package: SimPy
- Google group
- Book chapter by Barry Nelson
- Package: Ciw (for open queueing networks)
- Package: SimPy
- Agent-based modeling
- Discrete-event
- List of operations-research-related packages
- Optimization
- Overview (Ted Ralphs)
- Modeling languages
- Package: gurobipy
- Walk-through of building simple model
- Walk-through of semi-complex model
- Example models
- Package: PuLP, linear programs
- Package: Pyomo, all-purpose
- How to run models
- Example models
- Package: Pysp, extends Pyomo for stochastic programming
- Package: gurobipy
- Solvers & algorithms
- Package: scipy.optimize
- Package: CVXPY, convex opt
- Package: Optimist, SDDP in water systems
- Package: PyBnB, parallel branch-and-bound
- Package: StochOPy, stochastic optimization
- Package: StOpt, stochastic control (written in C++, Python bindings)
- Package: py-lapsolver, fast linear assignment problems
- Package: munkres, Hungarian algorithm
- Library: PyMaxFlow, Max flow/min cut
- Package: PyPSA, power systems analysis
- Package: PySCIPOpt
- Plot convex hull
- Examples
- Optimization tutorial (ekhoda)
- TSP
- Genetic algo (Stoltz)
- Facility location problems (SCIP)
- Dimensionality reduction
- Package: umap, uniform manifold approx. and projection
- Game theory (source)
- Software: Gambit
- Package: Nashpy, 2-player games/compute equilibria, paper
- Package: Axelrod, iterated prisoner's dilemma
- Package: PyNFG, network form games
- Library: lrslib, lrsnash can be used to compute Nash equilibria
- Within SageMath, games: cooperative with finite players; matching; normal form with N players
- Math
- SageMath textbook: Computational Mathematics with SageMath, Zimmermann et al.
- Machine learning
- Statistics
- Package: lifelines, survival analysis
- Supply chain
- Package: Supplychainpy
- Webscraping
- Tutorial (by Agarwal)
- Convert PDF to html
- Package: PDFMiner, then can be used to parse
- Other fields
- Visualization / figures
- Python Graph Gallery - lots of examples wit
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