AlexHahnPublic
Working in Finance on the Quantitative/ Technical side of things.
afh53@cornell.eduafh53@cornell.edu
Pinned Repositories
AdventOfCode2022
Repo to track my solutions to Advent of Code 2022
AlgoTradingPlatform_Beta
Walk through of Michael Halls-Moore's "Success Algorithmic Trading" Ebook
amazonka
A comprehensive Amazon Web Services SDK for Haskell.
Bash
Profiles(Vim_Bash_Cygwin_ksh)
CompilersPresentation
Cornell Physics 7680: Computational Physics Compilers/optimizations Presentation
CPP_Practice
Walking through some C++ tutorials and problems
cvxpy
A Python-embedded modeling language for convex optimization problems.
DE_Differential_Evolution
Given an Objective function, one has several numerical, linear v nonlinear, computational techniques to optimize/ analyze the surface provided. Differential Evolution is one of these methods. To summarize at a high level: "DE adds the weighted difference between two population vectors to a third vector. This way no separate probability distribution has to be used which makes the scheme completely self-organizing".
envy
:angry: Environmentally friendly environment variables
NumericalRecipes
Numerical Recipes in C++ codebase (Physics 7680 and really applicable in many situations/fields)
AlexHahnPublic's Repositories
AlexHahnPublic/AlgoTradingPlatform_Beta
Walk through of Michael Halls-Moore's "Success Algorithmic Trading" Ebook
AlexHahnPublic/NumericalRecipes
Numerical Recipes in C++ codebase (Physics 7680 and really applicable in many situations/fields)
AlexHahnPublic/CompilersPresentation
Cornell Physics 7680: Computational Physics Compilers/optimizations Presentation
AlexHahnPublic/AdventOfCode2022
Repo to track my solutions to Advent of Code 2022
AlexHahnPublic/amazonka
A comprehensive Amazon Web Services SDK for Haskell.
AlexHahnPublic/Bash
Profiles(Vim_Bash_Cygwin_ksh)
AlexHahnPublic/CPP_Practice
Walking through some C++ tutorials and problems
AlexHahnPublic/cvxpy
A Python-embedded modeling language for convex optimization problems.
AlexHahnPublic/DE_Differential_Evolution
Given an Objective function, one has several numerical, linear v nonlinear, computational techniques to optimize/ analyze the surface provided. Differential Evolution is one of these methods. To summarize at a high level: "DE adds the weighted difference between two population vectors to a third vector. This way no separate probability distribution has to be used which makes the scheme completely self-organizing".
AlexHahnPublic/envy
:angry: Environmentally friendly environment variables
AlexHahnPublic/EulerProblems
Mathematical Computing: Warning Some Elementary Number Theory Required
AlexHahnPublic/GameOfLife_Haskell
Two implementations of John Conway's game of life in the very interesting functional PL Haskell
AlexHahnPublic/ghcjs-base
base library for GHCJS for JavaScript interaction and marshalling, used by higher level libraries like JSC
AlexHahnPublic/Haskell
First purpose will be used as a repo to aggregate code I write while learning Haskell, then more largely anything I do that is Haskell specific
AlexHahnPublic/hs-gsl-random
Haskell bindings to the GSL random number generators and distribution functions
AlexHahnPublic/http-media
Processing HTTP Content-Type and Accept headers
AlexHahnPublic/jsaddle
JavaScript interface that works with GHCJS or GHC
AlexHahnPublic/LatexFiles
Alex Hahn's Latex Files, Enjoy ^^
AlexHahnPublic/LearningScala
A walkthrough of several Scala tutorials and small projects
AlexHahnPublic/MobileProfilesAndDotFiles
Profiles (.vimrc, .bashrc, .bash_profile, etc) with a script to auto import and run. Great quick way to configure any machine to your exact liking!
AlexHahnPublic/Physics-7681-Quantum-Computation
Some problem sets for Cornell's Quantum computing class
AlexHahnPublic/PortfolioOptimization
Material accompanying the MOSEK Portfolio Optimization Cookbook
AlexHahnPublic/PortfolioOptimizationMosek
Nonproprietary portfolio experiments, walk through, and examples w/ mosek
AlexHahnPublic/progfun-wiki
AlexHahnPublic/qPython
interprocess communication between Python and kdb+
AlexHahnPublic/Quantitative_Trading_With_R
A walk through of Harry Georgakopoulos's "Quantitative Trading With R: Understanding Mathematical and Computational Tools from a Quant's Perspective"
AlexHahnPublic/Resume
Alex Hahn's (maybe up to date) Resume
AlexHahnPublic/SineInterp
Cornell Physics 7680: Computational Physics Fast Sine Scheme