Disclaimer: I have no professional education in Compulational Fluid Dynamics, these are various notes on what I found/learned when trying to learn a bit on the topic. Some of the notes lack sources as I wrote them up later often just remembering some StackExchange answer. Some things I might have misinterpreted.
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Latency Comparison Numbers (~2012) | |
---------------------------------- | |
L1 cache reference 0.5 ns | |
Branch mispredict 5 ns | |
L2 cache reference 7 ns 14x L1 cache | |
Mutex lock/unlock 25 ns | |
Main memory reference 100 ns 20x L2 cache, 200x L1 cache | |
Compress 1K bytes with Zippy 3,000 ns 3 us | |
Send 1K bytes over 1 Gbps network 10,000 ns 10 us | |
Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD |
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kubectl get pods | grep Evicted | awk '{print $1}' | xargs kubectl delete pod |
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/* bling.js */ | |
window.$ = document.querySelectorAll.bind(document); | |
Node.prototype.on = window.on = function (name, fn) { | |
this.addEventListener(name, fn); | |
} | |
NodeList.prototype.__proto__ = Array.prototype; |
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# set the base image to Debian | |
# https://hub.docker.com/_/debian/ | |
FROM debian:latest | |
# replace shell with bash so we can source files | |
RUN rm /bin/sh && ln -s /bin/bash /bin/sh | |
# update the repository sources list | |
# and install dependencies | |
RUN apt-get update \ |
THIS GIST WAS MOVED TO TERMSTANDARD/COLORS
REPOSITORY.
PLEASE ASK YOUR QUESTIONS OR ADD ANY SUGGESTIONS AS A REPOSITORY ISSUES OR PULL REQUESTS INSTEAD!
It's a common misconception that [William Shakespeare][1] and [Miguel de Cervantes][2] died on the same day in history - so much so that UNESCO named April 23 as [World Book Day because of this fact][3]. However because England hadn't yet adopted [Gregorian Calendar Reform][4] (and wouldn't until [1752][5]) their deaths are actually 10 days apart. Since Ruby's Time
class implements a [proleptic Gregorian calendar][6] and has no concept of calendar reform then there's no way to express this. This is where DateTime
steps in:
>> shakespeare = DateTime.iso8601('1616-04-23', Date::ENGLAND)
=> Tue, 23 Apr 1616 00:00:00 +0000
>> cervantes = DateTime.iso8601('1616-04-23', Date::ITALY)
=> Sat, 23 Apr 1616 00:00:00 +0000
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<?xml version='1.0'?> | |
<!DOCTYPE fontconfig SYSTEM 'fonts.dtd'> | |
<fontconfig> | |
<dir>~/.fonts</dir> | |
<alias> | |
<family>serif</family> | |
<prefer> | |
<family>Source Serif Pro</family> | |
<family>IPAMincho</family> | |
</prefer> |
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// derived from http://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Parallel_algorithm | |
function map() { | |
emit(1, // Or put a GROUP BY key here | |
{sum: this.value, // the field you want stats for | |
min: this.value, | |
max: this.value, | |
count:1, | |
diff: 0, // M2,n: sum((val-mean)^2) | |
}); |
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""" | |
Taken from my suggestion at: | |
https://groups.google.com/forum/#!msg/tweepy/OSGRxOmkzL4/yaNT9fL9FAIJ | |
Note that this is an incomplete snippet; you'll need to create the API auth object. | |
""" | |
import simplejson as json | |
import tweepy |
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