charalampos papaloizou dxe4

## WebGL-WebGPU-frameworks-libraries.md

      
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                dmnsgn
                / WebGL-WebGPU-frameworks-libraries.md
            
            
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                A collection of WebGL and WebGPU frameworks and libraries
              
          
A non-exhaustive list of WebGL and WebGPU frameworks and libraries. It is mostly for learning purposes as some of the libraries listed are wip/outdated/not maintained anymore.

Engines and libraries ⚙️


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three.js
![GitHub


## angular-ios9-uiwebview.patch.js
/**
 * ==================  angular-ios9-uiwebview.patch.js v1.1.1 ==================
 *
 * This patch works around iOS9 UIWebView regression that causes infinite digest
 * errors in Angular.
 *
 * The patch can be applied to Angular 1.2.0 – 1.4.5. Newer versions of Angular
 * have the workaround baked in.
 *
 * To apply this patch load/bundle this file with your application and add a

## defaultDict.js

/* Kinda like Python's defaultdict, but for JS*/
function defDict(type) {
    var dict = {};
    return {
        get: function (key) {
        if (!dict[key]) {
            dict[key] = type.constructor();
        }
        return dict[key];

## analyze.py
'''
A script for analyzing twitter stats on Ferguson
'''
import json
import re

import tweepy

def get_api():
    '''

## .block
license: mit

## lda_vs_pca.R
require(MASS)
require(ggplot2)
require(scales)
require(gridExtra)

pca <- prcomp(iris[,-5],
              center = TRUE,
              scale. = TRUE)

prop.pca = pca$sdev^2/sum(pca$sdev^2)

## url-shortner.c
/**
 * Author: Felipe Ferreri Tonello <eu@felipetonello.com>
 *
 * This url-shortner it only works with ASCII characters. It encodes and
 * decodes ids.
 * You can change base_x as you wish.
 *
 * It runs at least 20 times faster then a Python implementation.
 *
 * $ time python url-shortner.py -s I7

## README.rst

      
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                livibetter
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              January 22, 2021 08:39
            
              
                Frequency spectrum of sound using PyAudio, NumPy, and Matplotlib
              
          
    This Gist has been moved to https://github.com/lbgists/audio-spectrum-matplotlib.


## gaussian.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# vim: filetype=pyopencl.python

import sys
import time
from PyQt4 import QtCore
from PyQt4 import QtGui
import pyopencl as cl
import numpy

## server.R
library(shiny)
library(ggplot2)

function(input, output) {

  dataset <- reactive({
    diamonds[sample(nrow(diamonds), input$sampleSize),]
  })

  output$plot <- renderPlot({
	/**
	* ================== angular-ios9-uiwebview.patch.js v1.1.1 ==================
	*
	* This patch works around iOS9 UIWebView regression that causes infinite digest
	* errors in Angular.
	*
	* The patch can be applied to Angular 1.2.0 – 1.4.5. Newer versions of Angular
	* have the workaround baked in.
	*
	* To apply this patch load/bundle this file with your application and add a

	/* Kinda like Python's defaultdict, but for JS*/
	function defDict(type) {
	var dict = {};
	return {
	get: function (key) {
	if (!dict[key]) {
	dict[key] = type.constructor();
	}
	return dict[key];
	'''
	A script for analyzing twitter stats on Ferguson
	'''
	import json
	import re

	import tweepy

	def get_api():
	'''
	require(MASS)
	require(ggplot2)
	require(scales)
	require(gridExtra)

	pca <- prcomp(iris[,-5],
	center = TRUE,
	scale. = TRUE)

	prop.pca = pca$sdev^2/sum(pca$sdev^2)
	/**
	* Author: Felipe Ferreri Tonello <eu@felipetonello.com>
	*
	* This url-shortner it only works with ASCII characters. It encodes and
	* decodes ids.
	* You can change base_x as you wish.
	*
	* It runs at least 20 times faster then a Python implementation.
	*
	* $ time python url-shortner.py -s I7
	#!/usr/bin/env python
	# -- coding: utf-8 --
	# vim: filetype=pyopencl.python

	import sys
	import time
	from PyQt4 import QtCore
	from PyQt4 import QtGui
	import pyopencl as cl
	import numpy
	library(shiny)
	library(ggplot2)

	function(input, output) {

	dataset <- reactive({
	diamonds[sample(nrow(diamonds), input$sampleSize),]
	})

	output$plot <- renderPlot({