Pinned Repositories
Census-Google-Fusion-Tables
Visualizing census data with Google Fusion Tables
datasharing
The Leek group guide to data sharing
gdsCAD
A simple but powerful Python package for creating photolithography masks in the GDSII format.
Particle-Clicker-Automator
Play CERN Particle Clicker Game like a boss! Automatically click as fast as your CPU can process. You can still do upgrades, research, and hire HR as the code is automatically clicking. To get the best results get the +4, +12, and +42 data per click upgrades first. Then get the three x3 data per click upgrades so you get 1,593 data per click ((1+4+12+42)*3*3*3) Rough estimate: I'm getting 8.7 clicks per second @ 1.6k data = 50M data per hr. Game URL: http://particle-clicker.web.cern.ch/particle-clicker/ Need Firefox, Python, and Selenium.
ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
pygmc
Python interface/API for GQ GMC Geiger Counter.
Python-Linked-List
A simple linked list class in Python.
Python_Hash_Table_Dictionary_Implementation
A custom dictionary (key value pair) implementation in Python using hash tables. Uses a load factor threshold for dynamic rehashing.
R-Shiny-Random-Numbers-From-Text
Generate random numbers from text.
Slidify-Random-Numbers-From-Text
Coursera Developing Data Products - Slidify Project
Wikilicious's Repositories
Wikilicious/pygmc
Python interface/API for GQ GMC Geiger Counter.
Wikilicious/Census-Google-Fusion-Tables
Visualizing census data with Google Fusion Tables
Wikilicious/Python_Hash_Table_Dictionary_Implementation
A custom dictionary (key value pair) implementation in Python using hash tables. Uses a load factor threshold for dynamic rehashing.
Wikilicious/datasharing
The Leek group guide to data sharing
Wikilicious/gdsCAD
A simple but powerful Python package for creating photolithography masks in the GDSII format.
Wikilicious/Particle-Clicker-Automator
Play CERN Particle Clicker Game like a boss! Automatically click as fast as your CPU can process. You can still do upgrades, research, and hire HR as the code is automatically clicking. To get the best results get the +4, +12, and +42 data per click upgrades first. Then get the three x3 data per click upgrades so you get 1,593 data per click ((1+4+12+42)*3*3*3) Rough estimate: I'm getting 8.7 clicks per second @ 1.6k data = 50M data per hr. Game URL: http://particle-clicker.web.cern.ch/particle-clicker/ Need Firefox, Python, and Selenium.
Wikilicious/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
Wikilicious/Python-Linked-List
A simple linked list class in Python.
Wikilicious/R-Shiny-Random-Numbers-From-Text
Generate random numbers from text.
Wikilicious/Slidify-Random-Numbers-From-Text
Coursera Developing Data Products - Slidify Project
Wikilicious/turn-off-screen
Turn off your screen display
Wikilicious/wikilicious.github.io
website
Wikilicious/crypto-text-msg
Protocol for communicating in a game-theory dominated world.
Wikilicious/datasciencecoursera
Data Science Tool Box Course
Wikilicious/ha-gmc
Home Assistant integration for PyGMC
Wikilicious/ha_learn
:house_with_garden: Open source home automation that puts local control and privacy first.
Wikilicious/pandas-thomaz
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Wikilicious/pygmc-feedstock
A conda-smithy repository for pygmc to upgrade to v0.14.0
Wikilicious/staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks