soaxelbrooke

• Update HISTORY.rst
• Update version number in my_project/__init__.py
• Update version number in setup.py
• Install the package again for local development, but with the new version number:

python setup.py develop

• Run the tests:

python setup.py test

soaxelbrooke

class GzipBuffer(object):
    def __init__(self):
        self.len = 0
        self.buffer = io.BytesIO()
        self.writer = gzip.GzipFile(fileobj=self.buffer, mode='wb')

    def append(self, thing):
        self.len += 1
        self.writer.write(thing)

soaxelbrooke

class GzipBuffer(object):
    def __init__(self):
        self.len = 0
        self.buffer = io.BytesIO()
        self.writer = gzip.GzipFile(fileobj=self.buffer, mode='wb')

    def append(self, thing):
        self.len += 1
        self.writer.write(thing)

soaxelbrooke

Keybase proof

I hereby claim:

• I am stuartaxelowen on github.
• I am soaxelbrooke (https://keybase.io/soaxelbrooke) on keybase.
• I have a public key whose fingerprint is F8B6 D6F2 A6A7 5C3C C49A 702F 9F22 8954 24AC 725A

To claim this, I am signing this object:

soaxelbrooke

object implicits {
  implicit class ESFuture[Response <: ActionResponse](future: ListenableActionFuture[Response])
    extends Future[Response] {

    override def onComplete[U](f: (Try[Response]) => U)(implicit executor: ExecutionContext): Unit = {
      future.addListener(new ActionListener[Response] {
        override def onFailure(e: Throwable): Unit = throw e

        override def onResponse(response: Response): Unit = f(Try(response))
      })

soaxelbrooke

#!/usr/bin/env bash
# Usage: $ ec2ssh cassandra-i-3
ssh $(aws ec2 describe-instances --query 'Reservations[].Instances[].[Tags[?Key==`Name`].Value | [0], PrivateIpAddress]' --output text | grep $1 | head -n 1 | python -c 'import sys; print(sys.stdin.read().split("\t")[1].strip())')

soaxelbrooke

from gensim.models import Phrases
import sys

assert len(sys.argv) > 2, "Need gensim model path and output filename!"
in_path, out_path = sys.argv[:2]

class PrefixTree(object):
    def __init__(self, words, impl=dict, suffix_impl=list):
        self.word = words[0]

soaxelbrooke

import scala.sys.process._

object BetaDistributionFit {

  val distName: String = "beta"

  def fitCommand(samples: Seq[Double]): Seq[String] =
    Seq("python", "-c", 
        s"""
        |from scipy import stats

soaxelbrooke

Text analytics engine!

Hey guys! I'm @soaxelbrooke, and I am here to show you ladies and guys how to create a basic text analytics engine with Elasticsearch.

Getting the data

Let's get the data first! These are product reviews from Amazon, which can be found here.

$ curl http://times.cs.uiuc.edu/~wang296/Data/LARA/Amazon/AmazonReviews.zip -o reviews.zip

soaxelbrooke

from typing import Optional, Hashable, TypeVar

class CallableDict(dict):
    V = TypeVar('V')
    
    """ A callable dictionary useful for functional programming """
    def __call__(self, key: Hashable, default: Optional[V]=None) -> Optional[V]:
        return self.get(key, default)