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from bokeh.plotting import figure, ColumnDataSource
from bokeh.models import HoverTool


def scatter_with_hover(df, x, y,
                       fig=None, cols=None, name=None, marker='x',
                       fig_width=500, fig_height=500, **kwargs):
    """
    Plots an interactive scatter plot of `x` vs `y` using bokeh, with automatic
    tooltips showing columns from `df`.

arendu-zz

from bokeh.plotting import figure, ColumnDataSource
from bokeh.models import HoverTool


def scatter_with_hover(df, x, y,
                       fig=None, cols=None, name=None, marker='x',
                       fig_width=500, fig_height=500, **kwargs):
    """
    Plots an interactive scatter plot of `x` vs `y` using bokeh, with automatic
    tooltips showing columns from `df`.

arendu-zz

import theano
import theano.tensor as T
from theano.tensor.shared_randomstreams import RandomStreams
from theano.sandbox.rng_mrg import MRG_RandomStreams
from lasagne.updates import adam
from lasagne.utils import collect_shared_vars

from sklearn.datasets import fetch_mldata
from sklearn.cross_validation import train_test_split
from sklearn import preprocessing

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[global]
mode = FAST_RUN
floatX = float32
int_division = floatX
exception_verbosity = high
warn_float64 = raise
allow_gc = False
compiledir_format=compiledir-%(platform)s-%(processor)s-%(python_version)s-%(python_bitwidth)s-%(hostname)s
linker = cvm
openmp = true

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#!/usr/bin/env python

# NOTE : This script assumes that the aligments are in the src-tgt format

import optparse
import pprint
import sys
import numpy as np

optparser = optparse.OptionParser()

arendu-zz

# the following two lines give a two-line status, with the current window highlighted
hardstatus alwayslastline
hardstatus string '%{= kG}[%{G}%H%? %1`%?%{g}][%= %{= kw}%-w%{+b yk} %n*%t%?(%u)%? %{-}%+w %=%{g}][%{B}%m/%d %{W}%C%A%{g}]'

# huge scrollback buffer
defscrollback 5000

# no welcome message
startup_message off

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$ cvs -z3 -d:pserver:anonymous@cvs.savannah.gnu.org:/sources/screen co screen
$ curl http://old.evanmeagher.net/files/gnu-screen-vertsplit.patch > gnu-screen-vertsplit.patch
$ cd screen/src
$ patch < ../../gnu-screen-vertsplit.patch
$ ./configure --enable-locale --enable-telnet --enable-colors256 --enable-rxct_osc
$ make
$ sudo make install

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# set up flags for Numpy C extentions compiling
export CFLAGS="-arch i386 -arch x86_64"
export FFLAGS="-m32 -m64"
export LDFLAGS="-Wall -undefined dynamic_lookup -bundle -arch i386 -arch x86_64"
export CC=gcc
export CXX="g++ -arch i386 -arch x86_64"

sudo pip install numpy
# success!

arendu-zz

OPENFST_VERSION=1.3.4
PYFST_VERSION=0.2.3

export CXX="clang++ -std=c++11 -stdlib=libstdc++"

cd ~/Downloads

curl -O http://openfst.org/twiki/pub/FST/FstDownload/openfst-$OPENFST_VERSION.tar.gz
tar zxf openfst-$OPENFST_VERSION.tar.gz
pushd openfst-$OPENFST_VERSION