alep

import nltk

from collections import namedtuple

from sklearn.linear_model import LogisticRegression
from sklearn.feature_extraction import FeatureHasher


Data = namedtuple('Data', [
    'word_i_minus_2',

alep

"""

http://en.wikipedia.org/wiki/ID3_algorithm
http://www.cise.ufl.edu/~ddd/cap6635/Fall-97/Short-papers/2.htm

"""

from collections import namedtuple, Counter, defaultdict
from math import log2

alep

# coding: utf-8
import scipy as sp

from sklearn.feature_extraction.text import CountVectorizer, HashingVectorizer
from sklearn.naive_bayes import BernoulliNB
from sklearn.linear_model import LogisticRegression
from sklearn import cross_validation
from sklearn import metrics

datafile = open("data.tsv")

alep

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

alep

In [1]: %load test.py

In [2]: import pandas as pd
import numpy as np

frame = pd.read_csv("table.csv", engine="python", parse_dates=['since'])
print frame
d = pd.pivot_table(frame, index=pd.TimeGrouper(key='since', freq='1d'), values=["value"], columns=['id'], aggfunc=np.sum, fill_value=0)
print d
print "^that is not what I expected"

alep

alep

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

So you're curious in learning this new thing called Reactive Programming, particularly its variant comprising of Rx, Bacon.js, RAC, and others.

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.

alep

[Desktop Entry]
Version=24.5
Name=Emacs
Exec=env UBUNTU_MENUPROXY=0 /usr/local/bin/emacs-24.5
Terminal=false
Icon=/usr/local/share/icons/hicolor/128x128/apps/emacs.png
Type=Application
Categories=IDE
X-Ayatana-Desktop-Shortcuts=NewWindow
[NewWindow Shortcut Group]

alep

package main

import (
	"fmt"
)

type Fetcher interface {
	// Fetch returns the body of URL and
	// a slice of URLs found on that page.
	Fetch(url string) (body string, urls []string, err error)

alep

// includes bindings for fetching/fetched

var PaginatedCollection = Backbone.Collection.extend({
  initialize: function() {
    _.bindAll(this, 'parse', 'url', 'pageInfo', 'nextPage', 'previousPage', 'filtrate', 'sort_by');
    typeof(options) != 'undefined' || (options = {});
    typeof(this.limit) != 'undefined' || (this.limit = 20);
    typeof(this.offset) != 'undefined' || (this.offset = 0);
    typeof(this.filter_options) != 'undefined' || (this.filter_options = {});
    typeof(this.sort_field) != 'undefined' || (this.sort_field = '');