Pinned Repositories
AiMouseMovement
Training an AI to mimic natural human mouse movement
AIODesa
Async Dead Easy Sql Api
DigiDeck
A digital Streamdeck for poor Streamers
Flash-Cards
HTML CSS and vanilla JS Flashcard Webapp
Hardware-Client
A websocket client that communicates hardware statistics of the host to a server
ServerStats
Websocket server status page that allows me to see at a glace the "health" of my server and its hardware
StreamerSoundBoard
Terrace-Dashboard
A tool comprised of a useful "Home Page" style dashboard running in a web browser and deployable remote Python clients.
TrumpTweets
Project processes language used by trump in his most recent tweets. Can be suited to other twitter users by changing the username in the Twitter API calls. Fill in your API information in theDonNLTK.py and run it. This will create two files: 1. NaturalTweets.txt and TrumpTweetIDs.txt in the same directory as thedonNLTK.py. After creating these files run vrbnTT.py to view most used proper nouns by default. Change pos_type to valid NLTK POS identifier and most_common_to_search to desired range.
TwitchIO
An Async Bot/API wrapper for Twitch made in Python.
sockheadrps's Repositories
sockheadrps/TTBot
Tinder Twitch Bot
sockheadrps/LED-Stats
An app that compares characteristics of different light-emitting diodes stored as a JS object.
sockheadrps/Led-compare-graph
Choose different MFG and Model of LEDs and compare characteristics
sockheadrps/Flash-Cards
HTML CSS and vanilla JS Flashcard Webapp
sockheadrps/TwitWords2
A broken but in development version of TwitWords (not using python as the entire stack) (as seen on my website, app.ryanpskiles.com)
sockheadrps/CSS-Gradient-Generator
Generates gradients for use with CSS
sockheadrps/Pure-CSS-Images
sockheadrps/CSS
Just for code chunks
sockheadrps/TwitWords
Continuation of Trump Tweets in a way. It has been modified to be presented via Flask/Dash web application
sockheadrps/TrumpTweets
Project processes language used by trump in his most recent tweets. Can be suited to other twitter users by changing the username in the Twitter API calls. Fill in your API information in theDonNLTK.py and run it. This will create two files: 1. NaturalTweets.txt and TrumpTweetIDs.txt in the same directory as thedonNLTK.py. After creating these files run vrbnTT.py to view most used proper nouns by default. Change pos_type to valid NLTK POS identifier and most_common_to_search to desired range.