deroneriksson

Deron Eriksson SystemML Git Notes

Useful Links

• Luciano's Development Guidelines - https://github.com/SparkTC/development-guidelines
• Mike's SystemML Git Guide - https://gist.github.com/dusenberrymw/78eb31b101c1b1b236e5
• Dev Mailing List - http://mail-archives.apache.org/mod_mbox/systemml-dev/
• SystemML Website - http://systemml.apache.org/
• SystemML on GitHub - https://github.com/apache/systemml
• SystemML Documentation - https://apache.github.io/systemml
• Scott Chacon's Pro Git - https://progit.org/

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

mgreensmith

Solarized
#FDF6E3,#EEE8D5,#93A1A1,#FDF6E3,#EEE8D5,#657B83,#2AA198,#DC322F

Solarized Dark
#073642,#002B36,#B58900,#FDF6E3,#CB4B16,#FDF6E3,#2AA198,#DC322F

nicebread

These code snippets have been tested on R 3.1.0 and Mac OS 10.9.3. They presumably do *not* work on R 2.X!

## Enter these commands in the Mac OS Terminal

# use faster vecLib library
cd /Library/Frameworks/R.framework/Resources/lib
ln -sf  /System/Library/Frameworks/Accelerate.framework/Frameworks/vecLib.framework/Versions/Current/libBLAS.dylib libRblas.dylib

# return to default settings
cd /Library/Frameworks/R.framework/Resources/lib

Bouke

Previous versions used homebrew to install the various versions. As suggested in the comments, it's better to use pyenv instead. If you are looking for the previous version of this document, see the revision history.

$ brew update
$ brew install pyenv
$ pyenv install 3.5.0
$ pyenv install 3.4.3
$ pyenv install 3.3.6
$ pyenv install 3.2.6
$ pyenv install 2.7.10

$ pyenv install 2.6.9

DavidWalz

import scipy.stats
def clopper_pearson(k,n,alpha=0.32):
    """
    http://en.wikipedia.org/wiki/Binomial_proportion_confidence_interval
    alpha confidence intervals for a binomial distribution of k expected successes on n trials
    Clopper Pearson intervals are a conservative estimate.
    """
    lo = scipy.stats.beta.ppf(alpha/2, k, n-k+1)
    hi = scipy.stats.beta.ppf(1 - alpha/2, k+1, n-k)
    return lo, hi

honza

#!/usr/bin/env python
"""
This script parses a geocaching.loc file and produces GPX files suitable
for loading into a GPS unit.

Usage:

    $ ./loc2gpx geocaching.log

timyates

package java8tests ;

import java.util.function.BiFunction ;
import java.util.function.Function ;

public class Currying {

    public void currying() {
        // Create a function that adds 2 integers
        BiFunction<Integer,Integer,Integer> adder = ( a, b ) -> a + b ;

fedir

#!/usr/bin/env python
# Clone or update all a user's gists
# curl -ks https://raw.github.com/gist/5466075/gist-backup.py | USER=fedir python
# USER=fedir python gist-backup.py

import json
import urllib
from subprocess import call
from urllib import urlopen
import os

nblumoe

fireplace

• cpr => (require ... :reload)
• cpR => (require ... :reload-all)

Evaluation

• :Eval (clojure code) => runs (clojure code) in repl
• cpp => evaluate inn-most expessions under cursor
• cp<movement> => evaluate text described by <movement>
• cqp => opens quasi-repl
• cqc => quasi-repl command line window