hannes-brt

import pyximport
import numpy as np
pyximport.install(setup_args={'include_dirs': np.get_include()})

mages

n <- 50
m <- 50
set.seed(1)
mu <- -0.4
sig <- 0.12
x <- matrix(data=rlnorm(n*m, mu, sig), nrow=m)

library(fitdistrplus)
## Fit a log-normal distribution to the 50 random data set
f <- apply(x, 2,  fitdist, "lnorm")

henrik

tmux cheatsheet

As configured in my dotfiles.

start new:

tmux

start new with session name:

ramnathv

Creating a clean gh-pages branch

This is the sequence of steps to follow to create a root gh-pages branch. It is based on a question at [SO]

cd /path/to/repo-name
git symbolic-ref HEAD refs/heads/gh-pages
rm .git/index
git clean -fdx
echo "My GitHub Page" > index.html

phn

PyFITS: FITS files in Python

In this article, we provide examples of using the python module PyFITS for working with FITS data. We first go through a brief

dfm

#include <Python.h>
#include <numpy/arrayobject.h>
#include "chi2.h"

/* Docstrings */
static char module_docstring[] =
    "This module provides an interface for calculating chi-squared using C.";
static char chi2_docstring[] =
    "Calculate the chi-squared of some data given a model.";

why-not

"""making a dataframe"""
df = pd.DataFrame([[1, 2], [3, 4]], columns=list('AB'))

"""quick way to create an interesting data frame to try things out""" 
df = pd.DataFrame(np.random.randn(5, 4), columns=['a', 'b', 'c', 'd'])

"""convert a dictionary into a DataFrame"""
"""make the keys into columns"""
df = pd.DataFrame(dic, index=[0])

jbwhit

jakevdp

# By Jake VanderPlas
# License: BSD-style

import matplotlib.pyplot as plt
import numpy as np


def discrete_cmap(N, base_cmap=None):
    """Create an N-bin discrete colormap from the specified input map"""

nonsleepr

ngrams.tokenizer <- function(x, n = 2) {
  trim <- function(x) gsub("(^\\s+|\\s+$)", "", x)
  terms <- strsplit(trim(x), split = "\\s+")[[1]]
  ngrams <- vector()
  if (length(terms) >= n) {
    for (i in n:length(terms)) {
      ngram <- paste(terms[(i-n+1):i], collapse = " ")
      ngrams <- c(ngrams,ngram)
    }
  }