Parameter | YouTube recommends setting |
---|---|
-movflags faststart | moov atom at the front of the file (Fast Start) |
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import bpy | |
myCurve = bpy.data.curves[0] # here your curve | |
spline= myCurve.splines[0] # maybe you need a loop if more than 1 spline | |
scale = 200 | |
curvepath_template = """ | |
var curves = new THREE.CurvePath(); | |
%s |
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# Infrafloss, a fairyfloss for the infra among us | |
# Intended for use with nopjmp's fairyfloss VS Code extention | |
# VS Marketplace Link: https://marketplace.visualstudio.com/items?itemName=nopjmp.fairyfloss | |
# Copy this file into your settings.json | |
"workbench.colorTheme": "fairyfloss", | |
"editor.tokenColorCustomizations": | |
{ | |
"textMateRules": | |
[ |
https://gist.github.com/victor-shepardson/5b3d3087dc2b4817b9bffdb8e87a57c4
I'm using Ubuntu 16.04 with a GTX 1060
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#!/bin/bash | |
#set url and port to the xbmc box webservice | |
XBMC_HOST="http://127.0.0.1:8080" | |
if [ "$1" = "" ]; then | |
echo -n "Insert URL: " | |
read url | |
else | |
url="$1" | |
fi |
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Not sure how to summarize/organize this into something useful. Some can be made into Spotify/Rdio playlists, but others are likely unavailable and some are just URLs to other services. Genre is all over the place as well...lots of ambient and classical, soundtracks, uptempo dancey stuff, rock w/ words, and even Slayer. Not sure all that can be put into one playlist that's useful for anyone. What I'm saying is, good luck! | |
fantoraygun @fantoraygun 1h | |
@jkottke some great mixes here: http://musicforprogramming.net/ | |
Andrew @jandrewc 1h | |
@jkottke "From here we go sublime" by The Field and "Alive 2007" by Daft Punk. | |
Lenny @lenny_ 1h | |
@jkottke SomaFM's Groove Salad station |
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#!/usr/bin/env python | |
'''Build up a set of URLs using the common crawl index. See | |
http://commoncrawl.org/2015/04/announcing-the-common-crawl-index/ for more info. | |
''' | |
from __future__ import print_function | |
import gzip | |
import logging | |
import os | |
import random |
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from pandas import DataFrame | |
from pandas.util.testing import set_trace | |
import os | |
import numpy as np | |
import matplotlib.pyplot as plt | |
dirs = [] | |
names = [] | |
lengths = [] |
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int[][] result; | |
float t, c; | |
public float ease(float p) { | |
return 3*p*p - 2*p*p*p; | |
} | |
public float ease(float p, float g) { | |
if (p < 0.5f) | |
return 0.5f * pow(2*p, g); |
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