gf3

Black: 0, 0, 0
Red: 229, 34, 34
Green: 166, 227, 45
Yellow: 252, 149, 30
Blue: 196, 141, 255
Magenta: 250, 37, 115
Cyan: 103, 217, 240
White: 242, 242, 242

dhoerl

/*
     File: KeychainItemWrapper.h
 Abstract: 
 Objective-C wrapper for accessing a single keychain item.
 
  Version: 1.2 - ARCified
 
 Disclaimer: IMPORTANT:  This Apple software is supplied to you by Apple
 Inc. ("Apple") in consideration of your agreement to the following
 terms, and your use, installation, modification or redistribution of

netmute

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
	<key>Ansi 0 Color</key>
	<dict>
		<key>Blue Component</key>
		<real>0.48771023750305176</real>
		<key>Green Component</key>
		<real>0.48781105875968933</real>

maxim

In Rails 3

NOTE: This post now lives (and kept up to date) on my blog: http://hakunin.com/rails3-load-paths

If you add a dir directly under app/

Do nothing. All files in this dir are eager loaded in production and lazy loaded in development by default.

If you add a dir under app/something/

plentz

# to generate your dhparam.pem file, run in the terminal
openssl dhparam -out /etc/nginx/ssl/dhparam.pem 2048

debasishg

General Background and Overview

1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
2. Models and Issues in Data Stream Systems
3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

rbranson

Rust is the first language that has emerged in the past few years that solves enough of my problems that it would be worth not only learning & teaching an entirely new language, but also sacrificing the maturity of the language ecosystems I’ve become accustomed to.

I highly suggest you read the "Guide" provided by the language developers or this won't make much sense. These are just some of my thoughts and are intended to highlight particular things that stand out to me. I am just a practitioner and not an expert in any of these languages, so I have probably made some incorrect assumptions and out-of-date assertions. Bare with me.

Rust feels like the first time momentum has gained behind a true systems programming language that uses modern PL design techniques to prevent common errors when dealing with memory. It seems like others have previously either been too anemic to be worth adopting or too abstract to provide proper control. The type system and assignment semantics are designed specifically to preven

tcnksm

Stackdriver Profiler at Mercari

We already use Stackdriver Profiler in Production at Mercari!

• API gateway at Mercari JP
• Observability, Observability, Observability in Seeking SRE by Envoy author
• High Performance Go
• Profiling and Optimizing Go（Best performance tuning video ever!!）
• GolangでFlame Graphを描く
• Netflix FlameScope