svaksha

#!/usr/bin/env python

import os
import logging
from collections import Counter
import gffutils
from gffutils.create import logger
logger.setLevel(logging.INFO)

usage = """

svaksha

# http://dlo.me/archives/2014/09/08/pythonrc/
# vim: set ft=python :

from __future__ import print_function

import json
import sys
import datetime

from redis import StrictRedis as Redis

svaksha

#include <iostream>

class Foo {
public:
	Foo() : val(4.2) {}

	void a() {
		std::cout << "float: " << val << '\n';
	}
	

svaksha

$ make test-linalg4
    CC src/jltypes.o
    CC src/gf.o
    FLISP src/julia_flisp.boot
    FLISP src/julia_flisp.boot.inc
    CC src/ast.o
    CC src/builtins.o
    CC src/module.o
    CC src/codegen.o
    CC src/disasm.o

svaksha

/julia/test$ JULIA_CPU_CORES=1 julia --code-coverage=all --inline=no
               _
   _       _ _(_)_     |  A fresh approach to technical computing
  (_)     | (_) (_)    |  Documentation: http://docs.julialang.org
   _ _   _| |_  __ _   |  Type "help()" for help.
  | | | | | | |/ _` |  |
  | | |_| | | | (_| |  |  Version 0.4.0-dev+2396 (2015-01-02 07:26 UTC)
 _/ |\__'_|_|_|\__'_|  |  master/3f3998e (fork: 140 commits, 8 days)
|__/                   |  i686-linux-gnu

svaksha

~/julia$ make
    CC src/jltypes.o
    CC src/gf.o
    CC src/support/hashing.o
    CC src/support/timefuncs.o
    CC src/support/ptrhash.o
    CC src/support/operators.o
    CC src/support/utf8.o
    CC src/support/ios.o
    CC src/support/htable.o

svaksha

Some thoughts on diversity in FOSS:

The lack of diversity numbers (percentages) from Foss organizations in pure technical (read core-developers or women with commit access) roles. For the most part, some Organizations include non-tech roles while releasing diversity data - while this is a good thing (I think its important to respect the technical writer and/or bug squasher as much as the programmer) we all know (and have probably experienced first-hand) that women in non-technical roles are hardly respected.

Secondly, the whole "diversity" brouhaha has given us access to some numbers (which we know are low) but there is hardly any discussion on what changes need to occur on the basis of these low numbers. Hence, I think this data is important for the following reasons:

1. It tells me how much harder and longer it will take for me to get there - Becoming a core-dev with commit access does not happen overnight. The key differentiation lies in the fact that it takes time (a LOT of it) to get familiar with a

svaksha

svaksha

svaksha

@doc doc"""
    Takes a 2d array where each column is a pattern which maps to a row in
    the resulting dataframe. Each pattern index is its own column in 
    the dataframe.
""" ->
function DataFrame(data::Array{Float64, 2})
    m = data'
    result = DataFrame()
    
    for i in 1:size(data, 1)