Code I'm tinkering with, sometimes borrowed from strangers on the internet.
scratchpad
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├── bash
│ ├── bash-guide : A quick guide to the Bash Shell.
│ └── bash-commands : Some of the most popular Bash commands!
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├── c
│ ├── HackerRank : Notes for solving HackerRank problems
│ └── InterviewCake : Notes for solving InterviewCake problems
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├── clojure
│ ├── cljs-quickstart : The (Google) ClojureScript quickstart.
│ └── clojure-code-demo : A demo for Vscode Clojure integration.
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├── excel
│ └── functions : Some Excel functions I like.
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├── f#
│ └── functional-practice : Practice with Monads & F#.
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├── git
│ └── ohshitgit : Oh shit git!
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├── javascript
│ ├── backpropNEAT : "Playground with Backprop NEAT." - @hardmaru
│ ├── ItsyBitsyDataStructures : "All the things you didn't know you wanted to know about data structures." - @thejameskyle
│ └── TheSuperTinyCompiler : "Possibly the smallest compiler ever." - @thejameskyle
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├── klong
│ └── klong : "An Array Language." - @nmh
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├── julia
│ └── JuliaByExample : "Examples of Julia." - @samuelcolvin
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├── latex
│ ├── cv : A resume in LaTeX.
│ └── TiesAsAServices : A pet project to learn R and get into Hootsuite. I didn't get into Hootsuite.
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├── markdown
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├── matlab
│ ├── bitcoinFractals : The code behind my 2014 paper "Multifractal Behavior in Bitcoin Pricing."
│ └── neuralNetworks : The code behind my 2013 Medium post "My First Neural Network."
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├── python
│ ├── 12StepstoScientificPythonCode : Some useful tips on writing clean Python code. On step 1.
│ ├── algorithms : "Minimal examples of data structures and algorithms in Python" - @keon
│ ├── Bayes : Playing around with some Bayesian stats.
│ ├── codeWars : Stuff from my Codewars adventures.
│ ├── cl-chess : "A python program to play chess against an AI in the terminal." = @marcusbuffet
│ ├── evolutionaryStrategies : "Notebooks and various random fun" - @karpathy
│ ├── hackerRank : Stuff from my Hackerrank games.
│ ├── intermediatePython : Notes from someone who is better at Python than me
│ ├── kaggle : Kaggle attempts and notes.
│ ├── kerasDeepLearning : "Introduction to Deep Neural Networks with Keras and Tensorflow" - @leriomaggio
│ ├── leetCode : A few Python3 solutions to some Leetcode problems
│ ├── pyCrumbs : "Bits and bytes of Python from the Internet" - @kirang89
│ ├── pytudes : "Python programs to practice or demonstrate skills." - @norvig
│ └── tensorflowExamples : "TensorFlow Tutorial and Examples for Beginners with Latest APIs" - @aymericdamien
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├── r
│ ├── Bayes : Let's get Bayesian in this bitch.
│ ├── gTrendScraper : Querying Google Trends from R.
│ ├── irisMachineLearning : Everyone's favorite dataset, explored via Machine Learning!
│ ├── socialScraper : A variety of helpful scripts I wrote for Advertising jobs, focused on scraping social networks.
│ ├── swirlPractice : swirl is THE best intro to R I've ever found
│ └── TiesAsAService : The code behind TaaS, focused on MRR modeling and simulation via Monte Carlo
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└── tableau
├── practice : Tableau workbooks rebuilt for practice.
└── functions : Stuff from Tableau I felt like keeping.