Berkay Antmen bantmen

If you want to learn Scala, I’d suggest:

Install IntelliJ + Scala Plugin
Don’t do the Coursera courses yet.
Don’t do the “red book” Functional Programming in Scala yet.
Do: http://underscore.io/books/
- Essential Scala
- Essential Play
- Essential Slick
Do Scala for the Impatient: https://www.amazon.com/Scala-Impatient-Cay-S-Horstmann/dp/0321774094
The Neophyte’s Guide to Scala http://danielwestheide.com/scala/neophytes.html

#Web scrapers on the internet

Picking the right architecture = Picking the right battles + Managing trade-offs

User cases (description of sequences of events that, taken together, lead to a system doing something useful)
- Who is going to use it?
- How are they going to use it?

duplicates = multiple editions

This face-boxer.py script is more-or-less the same code that you'll find in the OpenCV tutorial: Face Detection using Haar Cascades. For another variation, with more explanation, check out RealPython's tutorial.

The face-boxer.py script is designed to be run from the command-line. It has two required arugments:

The path to a XML file containing a Haar-cascade of visual features. In this example, it will be the features that make up a face.
The path to an image file that you want to perform face-detection on. You can pass in more than one image file as space-separated arguments.

	"""
	Beam decoder for tensorflow

	Sample usage:

	```
	from tf_beam_decoder import beam_decoder

	decoded_sparse, decoded_logprobs = beam_decoder(
	cell=cell,

	import tensorflow as tf
	import numpy as np

	if __name__ == '__main__':
	np.random.seed(1)
	# the size of the hidden state for the lstm (notice the lstm uses 2x of this amount so actually lstm will have state of size 2)
	size = 1
	# 2 different sequences total
	batch_size= 2
	# the maximum steps for both sequences is 10

	'''
	Easy Mac
	Copyright (2015) Sean Beck
	Licensed under Creative Commons Attribution-ShareAlike 4.0 International
	See: https://creativecommons.org/licenses/by-sa/4.0/

	Easily change your MAC address on Linux using `ifconfig`
	'''
	#!/usr/bin/python2.7

	# Alec Radford, Indico, Kyle Kastner
	# License: MIT
	"""
	Convolutional VAE in a single file.
	Bringing in code from IndicoDataSolutions and Alec Radford (NewMu)
	Additionally converted to use default conv2d interface instead of explicit cuDNN
	"""
	import theano
	import theano.tensor as T
	from theano.compat.python2x import OrderedDict

	#!/bin/sh


	# this script does absolutely ZERO error checking. however, it worked
	# for me on a RHEL 6.3 machine on 2012-08-08. clearly, the version numbers
	# and/or URLs should be made variables. cheers, zmil...@cs.wisc.edu


	mkdir mosh
	cd mosh