rubio

Keybase proof

I hereby claim:

• I am rubio on github.
• I am rubio (https://keybase.io/rubio) on keybase.
• I have a public key ASCqQf1Ta9Dxym-C2HZIOdFiOBalozxMZd8CBB2ogSD6JQo

To claim this, I am signing this object:

rubio

Channels Are Not Enough

... or Why Pipelining Is Not That Easy

Golang Concurrency Patterns for brave and smart.

By @kachayev

Intro

rubio

#How I built an audio book reader for my nearly blind grandfather

Tweet this - Follow me

Last year, when visiting my family back home in Holland, I also stopped by my grand-parents. My grand-father, now 93 years old, had always been a very active man. However, during the presceding couple of months, he'd gone almost completely blind and now spent his days sitting in a chair. Trying to think of something for him to do, I suggested he try out audio books. After finally convincing him -- he said audio books were for sad old people -- that listening to a well performed recording is actually a wonderful experience, I realized the problem of this idea.

####The problem with audio devices and the newly blind. After my first impulse to jump up and go buy him an iPod Touch, I soon realized that, to use an iPod, or any audio d

rubio

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs

rubio

Colors in terminal

It's a common confusion about terminal colors... Actually we have this:

• plain ascii
• ansi escape codes (16 color codes with bold/italic and background)
• 256 color palette (216 colors+16gray + ansi) (colors are 24bit)
• 24bit true color (888 colors (aka 16 milion))

The 256 color palete is configured at start, and it's a 666 cube of colors, each of them defined as a 24bit (888 rgb) color.

rubio

"""A simple addition to Python's optparse module supporting subcommands
like those found in the svn or hg CLIs.

To use it, instantiate the Subcommand class for every subcommand you
want to support. Each subcommand has a name, aliases, a help message,
and a separate OptionParser instance. Then pass a list of Subcommands
to the constructor of SubcommandsOptionParser to make a subcommand-
aware parser. Calling parse_args on that parser gives you the
subcommand invoked, the subcommand's arguments and options, and the
global options all in one fell swoop. See the smoke test at the bottom

rubio

So I heard you hosed your Riak cluster

I don't know what you did (I don't know what I did when this happened to me), but you ended up with a completely borked Riak cluster. Possible causes and symptoms include:

• riak-admin transfers shows different things depending on the node you run it on
• you tried to leave/join nodes to fix things, but it made them only worse
• you ran mixed versions in parallel, instead of doing a clean rolling upgrade
• some data seems to be missing, and when you list the keys in a bucket, clearly there is not the amount you were expecting
• YOU'RE AFRAID YOU MIGHT HAVE LOST DATA

rubio

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

So you're curious in learning this new thing called (Functional) Reactive Programming (FRP).

Learning it is hard, even harder by the lack of good material. When I started, I tried looking for tutorials. I found only a handful of practical guides, but they just scratched the surface and never tackled the challenge of building the whole architecture around it. Library documentations often don't help when you're trying to understand some function. I mean, honestly, look at this:

Rx.Observable.prototype.flatMapLatest(selector, [thisArg])

Projects each element of an observable sequence into a new sequence of observable sequences by incorporating the element's index and then transforms an observable sequence of observable sequences into an observable sequence producing values only from the most recent observable sequence.

rubio

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

So you're curious in learning this new thing called (Functional) Reactive Programming (FRP).

Learning it is hard, even harder by the lack of good material. When I started, I tried looking for tutorials. I found only a handful of practical guides, but they just scratched the surface and never tackled the challenge of building the whole architecture around it. Library documentations often don't help when you're trying to understand some function. I mean, honestly, look at this:

Rx.Observable.prototype.flatMapLatest(selector, [thisArg])

Projects each element of an observable sequence into a new sequence of observable sequences by incorporating the element's index and then transforms an observable sequence of observable sequences into an observable sequence producing values only from the most recent observable sequence.

rubio

import socket
import pickle
import random
import time
import struct
import threading
import urllib2

#from sc_watchdog.logger import log