Aetherinox

/* @settings
name: ⚙️ Blue Topaz (Aetherx Extras)
id: blue-topaz-theme-aetherx
settings:
  -
    id: atx-general
    title: 1. General
    description: General appearance settings
    type: heading
    level: 1

gadenbuie

App Install Plan

Critical

• iTerm2

  • https://iterm2.com/

• Command Line Tools

  • xcode-select –install

gadenbuie

#' Print xaringan slides to PDF
#'
#' Prints xaringan slides to a PDF file, even complicated slides
#' with panelsets or other html widgets or advanced features.
#' Requires a local installation of Chrome.
#'
#' @param input Path to Rmd or html file of xaringan slides.
#' @param output_file The name of the output file. If using NULL then
#'   the output filename will be based on filename for the input file.
#'   If a filename is provided, a path to the output file can also be provided.

tyrostone

Shiny Server Tutorial Instructions

Prerequisites

• AWS account is created
• Non-root user is created
• VPC exists in the us-east-1 region
  • We can go over the networking of what this should look like

Creating the Host

1. Log into your AWS account

lbusett

#' @title bibtex_2academic
#' @description import publications from a bibtex file to a hugo-academic website
#' @author Lorenzo Busetto, phD (2017) <lbusett@gmail.com>

bibtex_2academic <- function(bibfile,
                             outfold,
                             abstract = FALSE,
                             overwrite = FALSE) {

  require(RefManageR)

gadenbuie

warning("You probably don't want to use this `backstitch()` function.",
        "\n  It's hacky and there's a much better option in knitr called `purl()`.",
        "\n  More info at: `?knitr::purl`")

#' Backstitch an Rmd file to an R script
#'
#' Takes an Rmd file -- that would be converted with knitr::knit() -- and
#' "backstitches" it into an R script suitable for knitr::purl(). The output
#' file is the just the backstitched R script when `output_type = 'script'`, or
#' just the code chunks when `output_type = 'code'` (note that all inline code

ceshine

# Reference: https://svds.com/jupyter-notebook-best-practices-for-data-science/
import os
from subprocess import check_call

def post_save(model, os_path, contents_manager):
    """post-save hook for converting notebooks to .py scripts"""
    if model['type'] != 'notebook':
        return # only do this for notebooks
    d, fname = os.path.split(os_path)
    check_call(['jupyter', 'nbconvert', '--to', 'script', fname], cwd=d)

halhen

# data from http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/population-distribution-demography/geostat
# Originally seen at http://spatial.ly/2014/08/population-lines/

# So, this blew up on both Reddit and Twitter. Two bugs fixed (southern Spain was a mess,
# and some countries where missing -- measure twice, submit once, damnit), and two silly superflous lines removed after
# @hadleywickham pointed that out. Also, switched from geom_segment to geom_line.

# The result of the code below can be seen at http://imgur.com/ob8c8ph

library(tidyverse)

pokehanai

(use-package markdown-mode
  :defer t
  :commands (org-table-begin org-table-end orgtbl-mode)
  :config
  (progn
    (require 'org-table)
    (eval-when-compile
      (require 'whitespace))

    (defun advice:org-table-align:markdown ()

junzis

# https://stackoverflow.com/questions/25191620/
#   creating-lowpass-filter-in-scipy-understanding-methods-and-units

import numpy as np
from scipy.signal import butter, lfilter, freqz
from matplotlib import pyplot as plt


def butter_lowpass(cutoff, fs, order=5):
    nyq = 0.5 * fs