Anastasios Zouzias zouzias

Code is clean if it can be understood easily – by everyone on the team. Clean code can be read and enhanced by a developer other than its original author. With understandability comes readability, changeability, extensibility and maintainability.

General rules

Follow standard conventions.
Keep it simple stupid. Simpler is always better. Reduce complexity as much as possible.
Boy scout rule. Leave the campground cleaner than you found it.
Always find root cause. Always look for the root cause of a problem.

Design rules

Keybase proof

I hereby claim:

I am zouzias on github.
I am zouzias (https://keybase.io/zouzias) on keybase.
I have a public key ASD5s6mtU_Xas0oIByPzMdlx1dBBDUkmPeEz0tmrWJs2rQo

To claim this, I am signing this object:

#Compilng You need g++ 4.9 to compile this code. Follow these steps to install g++-4.9

After installing run the following command to compile

/usr/bin/g++-4.9 -std=c++11 lambda.cpp

#Running

./a.out

	#
	# Some constants
	#
	aws_profile = "your_profile"
	aws_region = "your_region"
	s3_bucket = "your_bucket"

	#
	# Reading environment variables from aws credential file
	#

	"""
	Patched version to support PostgreSQL
	(original version: https://github.com/pydata/pandas/blob/v0.13.1/pandas/io/sql.py)

	Adapted functions are:
	- added _write_postgresql
	- updated table_exist
	- updated get_sqltype
	- updated get_schema

	# !/bin/bash

	# Step 1. Install pyenv

	git clone https://github.com/pyenv/pyenv.git ~/.pyenv
	echo 'export PYENV_ROOT="$HOME/.pyenv"' >> ~/.bashrc
	echo 'export PATH="$PYENV_ROOT/bin:$PATH"' >> ~/.bashrc
	echo -e 'if command -v pyenv 1>/dev/null 2>&1; then\n eval "$(pyenv init -)"\nfi' >> ~/.bashrc

	# Step 2. Install missing headers for all the Python modules to be built

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	--------------------------------
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	Mein Name ist XXX und ich wohne in Zürich.

	// Start Spark Shell using
	// bin/spark-shell --packages org.zouzias:spark-lucenerdd_2.11:0.3.1
	// import required spark classes
	import org.zouzias.spark.lucenerdd.LuceneRDD
	import org.zouzias.spark.lucenerdd._

	// set the implicit value for sc (required by LuceneRDD)
	implicit val sc = spark.sparkContext

	val array = Array("Hello", "world")

	""" Example using GenSim's LDA and sklearn. """

	import numpy as np

	from gensim import matutils
	from gensim.models.ldamodel import LdaModel
	from sklearn import linear_model
	from sklearn.datasets import fetch_20newsgroups
	from sklearn.feature_extraction.text import CountVectorizer