brantfaircloth

# Create a new repo at github called `test`
# On your local machine:
$ cd test
$ git init
Initialized empty Git repository in /Users/bcf/Git/me/test/.git/ 
$ touch README
$ git add .
$ git commit -m 'first commit'

# wire everything up to the remote at github (replace yourName)

jgomezdans

# Start by storing model names in an array. This keeps order, but prolly not important
models = [ 'casa', 'lpj', 'jules', 'middle_aged_glamour_model']

# The year list that you are going to loop over
years = np.arange ( 1990, 2011 ) 

# Model variables for each model
# You need to keep each list in the order they appear in the output. That's fairly important.
model_var = {  'casa':[ 'doy','NEE', 'NPP'], 'lpj':['year', 'doy','NEE', "GPP"], \
                       'doy',middle_aged_glamour_model']=[ 'doy','you','dont','wanna_know'] }

zonca

import numpy as np

def rebin(a, new_shape):
    """
    Resizes a 2d array by averaging or repeating elements, 
    new dimensions must be integral factors of original dimensions

    Parameters
    ----------
    a : array_like

jiahao

#!/usr/bin/env python

'''
Pure Python implementation of some numerical optimizers

Created on Jan 21, 2011

@author Jiahao Chen
'''

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:

teoliphant

from numpy.random import rand
from numpy import r_, ix_, uint8, roll
import matplotlib.pyplot as plt
import time

size = 200
GRID = (rand(size,size) > 0.75).astype(uint8)
# Rotate indices because the world is round
indx = r_[0:size]
up = roll(indx, -1)

paolo-losi

import numpy as np
import FuncDesigner as fd
from openopt import NLP

from sklearn.metrics.pairwise import rbf_kernel, polynomial_kernel


def theta(x):
    return 0.5 * (fd.sign(x) + 1.)

iamatypeofwalrus

What

Roll your own iPython Notebook server with Amazon Web Services (EC2) using their Free Tier.

What are we using? What do you need?

• An active AWS account. First time sign-ups are eligible for the free tier for a year
• One Micro Tier EC2 Instance
• With AWS we will use the stock Ubuntu Server AMI and customize it.
• Anaconda for Python.
• Coffee/Beer/Time

goerz

((*- extends 'article.tplx' -*))

% See http://blog.juliusschulz.de/blog/ultimate-ipython-notebook#templates
% for some useful tips

%===============================================================================
% Document class
%===============================================================================

((* block docclass *))

ocefpaf

# See https://www.anaconda.com/understanding-and-improving-condas-performance/ for more info.

# help debug channel issues
show_channel_urls: true

# pip will always be installed with python 
add_pip_as_python_dependency: true

# strict priority and conda-forge at the top will ensure
# that all of your packages will be from conda-forge unless they only exist on defaults