MilesCranmer

Rankings

First, let's look at just physics.

Since this is a lot less data to work with, we'll take prizes from 1970 onwards.

Country	Nobels in Physics	2016 population (millions)	Nobels per million
Denmark	2	5.7	0.350877193

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Favorite tricks

(These are ranked in order of favourites)

Getting includes automatically in C

Set up ctags:

apt-get install exuberant-ctags

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Words changed in a git repo

This should work generally, but I use this to track the number of words changed in a (LaTeX) paper with a version history in git (and which Overleaf uses by default).

This is a tricky thing to deal with for many reasons.

Show the added words, deleted words, words on duplicate lines on every commit in the last day (bash):

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import numpy

from cffi import FFI

ffi = FFI()
ffi.cdef("""
void single_test(double *x, int n);
void multi_test(double **x, int n, int m);
""")
C = ffi.dlopen("./simple.so")

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def plotdf(df, x, y, c=None, sample=10000, alpha=0.5, color=None,
           cmap='viridis', clabel=None, xlabel=None, ylabel=None,
           noise_df=None, percentile=0.98, use_noise_df_for_framing=False,
          noise_alpha=0.1):
    
    cols_to_get = [x, y]
    if c is not None:
        cols_to_get.append(c)
    
    df = df[cols_to_get]

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def plotdf(df, x, y, sample=10000):
    df = df[[x, y]].sample(sample).copy()
    for col in [x, y]:
        df = df[(df[col] > df[col].quantile(0.01)) & (df[col] < df[col].quantile(0.99))]
    
    df.plot(
        x, y,
        linestyle='', marker='.',
        markersize=0.1)

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" Delete up to begin{document}, and from end{document} to before the bibliography.

:%s/\\cite{[a-zA-Z0-9_]\+}/REF/g
:%s/\\citealt{[a-zA-Z0-9_]\+}/REF/g
:%s/\\cref{[a-zA-Z0-9_:]\+}/REF/g
:%s/\\caption{//g
:%s/\$\$.\{-}\$\$/REF/g
:%s/\$.\{-}\$/REF/g
:%s/\\[a-zA-Z_]\+{.*}/ /g
:%s/\\[a-zA-Z_]\+/ /g

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#!/bin/bash

#This builds vim with python + python3 support in a conda environment. No sudo required! Replace the directories to your own.

vi_cv_path_python=/mnt/home/mcranmer/miniconda3/envs/py27/bin/python \
vi_cv_path_python3=/mnt/home/mcranmer/miniconda3/envs/main/bin/python \
./configure \
  --with-features=huge \
  --enable-multibyte \
  --enable-rubyinterp=yes \

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##########################################
#emcee example:
##########################################
import numpy as np
import emcee

# Number of samples for each chain.
N_samp = 1000

def log_prob(x):

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Title: Composite Quasar Spectra From the Sloan Digital Sky Survey  
Authors: Vanden Berk D.E., Richards G.T., Bauer A., Strauss M.A., 
         Schneider D.P., Heckman T.M., York D.G., Hall P.B., Fan X., Knapp G.R.,
         Anderson S.F., Annis J., Bahcall N.A., Bernardi M., Briggs J.W., 
         Brinkmann J., Brunner R., Burles S., Carey L., Castander F.J., 
         Connolly A.J., Crocker J.H., Csabai I., Doi M., Finkbeiner D., 
         Friedman S., Frieman J.A., Fukugita M., Gunn J.E., Hennessy G.S., 
         Ivezic Z., Kent S., Kunszt P.Z., Lamb D.Q., Leger R.F., Long D.C., 
         Loveday J., Lupton R.H., Meiksin A., Merelli A., Munn J.A., 
         Newberg H.J., Newcomb M., Nichol R.C., Owen R., Pier J.R., Pope A.,