pat-alt

using ConformalPrediction
using Distributions
using MLJ
using Plots

# Inputs:
N = 600
xmax = 3.0
d = Uniform(-xmax, xmax)

farr

name: latex-build
on: [push]
jobs:
  build-latex:
    runs-on: ubuntu-latest
    steps:
    - name: Checkout
      uses: actions/checkout@v2
    - name: Install TeXlive
      run: sudo apt-get install texlive texlive-publishers texlive-science latexmk

yk

set nocompatible              " be iMproved, required
let g:python3_host_prog = '/usr/local/opt/python@3.8/bin/python3.8'

if empty(glob('~/.vim/autoload/plug.vim'))
  silent !curl -fLo ~/.vim/autoload/plug.vim --create-dirs
    \ https://raw.githubusercontent.com/junegunn/vim-plug/master/plug.vim
  autocmd VimEnter * PlugInstall --sync | source $MYVIMRC
endif

call plug#begin('~/.vim/plugged')

benwillkommen

Remove All Subscriptions from a Specific Github Organization

This script will delete all the subscriptions in your account for the Github Organization passed to it.

This script was created when I took a new job, and my notification settings inadvertantly subscribed me to all 600+ of their repos. I wanted a better signal to noise ratio in my notifications, but I didn't want to click the "Unwatch All" button, which would remove my subscriptions to repos outside my new employer's org.

How To

1. Create a Personal Access Token with the "repo" scope, and expose it as the GITHUB_PERSONAL_ACCESS_TOKEN environment variable:

$ export GITHUB_PERSONAL_ACCESS_TOKEN=

MilesCranmer

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

# Number of samples for each chain.
N_samp = 1000

def log_prob(x):

markwk

#!/bin/bash
##################################
#
# THE ARCHIVE TRACKER
#
# REF: https://gist.github.com/markwk/c85a8a72bc8c03d0f510262bb5219a34/
#
# INTRODUCTION: 
# Daily script to navigate to a directory of plain text files,
# add files to git repo, calculate key stats, store stats to csv

apaszke

import torch                                                                                          
                                                                                                      
def jacobian(y, x, create_graph=False):                                                               
    jac = []                                                                                          
    flat_y = y.reshape(-1)                                                                            
    grad_y = torch.zeros_like(flat_y)                                                                 
    for i in range(len(flat_y)):                                                                      
        grad_y[i] = 1.                                                                                
        grad_x, = torch.autograd.grad(flat_y, x, grad_y, retain_graph=True, create_graph=create_graph)
        jac.append(grad_x.reshape(x.shape))                                                      

alexanderbailey1

# 
# Kurtosisf.py calculates the spectral kurtosis from fast-capture .dada files 
# and outputs spectral kurtosis, real and imaginary kurtosis values, and flagging
# information for each window of every channel in all of the antennas.
# Commented out code relates to making histograms, and other junk. I know it's a mess.
#
# Original code written by Hugh Garsden
# Edited and made a general mess of by Alex Bailey, June 2017
#

MilesCranmer

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):

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