isaacs

echo 'export PATH=$HOME/local/bin:$PATH' >> ~/.bashrc
. ~/.bashrc
mkdir ~/local
mkdir ~/node-latest-install
cd ~/node-latest-install
curl http://nodejs.org/dist/node-latest.tar.gz | tar xz --strip-components=1
./configure --prefix=~/local
make install # ok, fine, this step probably takes more than 30 seconds...
curl https://www.npmjs.org/install.sh | sh

piscisaureus

Locate the section for your github remote in the .git/config file. It looks like this:

[remote "origin"]
	fetch = +refs/heads/*:refs/remotes/origin/*
	url = git@github.com:joyent/node.git

Now add the line fetch = +refs/pull/*/head:refs/remotes/origin/pr/* to this section. Obviously, change the github url to match your project's URL. It ends up looking like this:

agramfort

# Author : Alex Gramfort
# license BSD (copied for Chaco example data_stream.py)

# to use it:
# Start ./sine2ft in the background (available in fieldtrip repo)
# Start the buffer
# Then run this script in a python terminal

# Major library imports
import sys

agramfort

returns:
27.0745537031
365.073216463
27.1356784749

AnwarShah

[Desktop Entry]
Type=Application
Terminal=false
StartupNotify=true
Name=Sublime Text 3
Name[en_US]=Sublime Text 3
GenericName=Text Editor
GenericName[en_US]=Text Editor
Comment=Edit text files
Comment[en_US]=Edit text files

mmcc

sudo apt-key adv --keyserver hkp://p80.pool.sks-keyservers.net:80 --recv-keys 58118E89F3A912897C070ADBF76221572C52609D

sh -c 'echo deb https://apt.dockerproject.org/repo ubuntu-trusty main > /etc/apt/sources.list.d/docker.list'

# Install docker
sudo apt-get update
sudo apt-get purge lxc-docker
sudo apt-get install linux-image-extra-$(uname -r)
sudo apt-get install docker-engine
sudo service docker start

DrDub

import os

import ipywidgets as widgets


class FileBrowser(object):
    def __init__(self):
        self.path = os.getcwd()
        self._update_files()
        

agramfort

#!/usr/bin/env python
#
# Solve LASSO regression problem with ISTA and FISTA
# iterative solvers.

# Author : Alexandre Gramfort, first.last@telecom-paristech.fr
# License BSD

import time
from math import sqrt

larsoner

# -*- coding: utf-8 -*-

# Authors: Eric Larson <larson.eric.d@gmail.com>
#
# License: BSD (3-clause)

from __future__ import print_function

from copy import deepcopy
import time

clbarnes

Install instructions

These instructions are for installing NEURON and NetPyNE with linux and a conda environment.

Create a neuron directory in your home directory, put the gzipped source files in it, and expand them.

cd $HOME
mkdir neuron
mv iv-mm.tar.gz neuron