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My Pandoc Markdown-PDF Workflow for Routine, Not Especially Technical, Writing

by Danny Quah, Aug 2020 (revised Jan 2022)

TL;DR: I write technical articles in LaTeX. But shorter, non-technical writings are easier to do in Markdown. How do I produce PDF from Markdown documents? Answer: provide YAML information in the Markdown; run Pandoc (typically through a Makefile or Atom's Markdown Preview Enhanced). To make all this work, some adjustment is needed in Pandoc options and template files.

Pandoc is a filter that takes a written document in a particular format, and produces a version of that same document in yet a different format. I use Pandoc primarily to transform Markdown documents to PDF, but I also draw on Pandoc to convert Word or ODT documents to Markdown. And vice versa.

Available official Pandoc documentation is voluminous. So as a matter of logic the knowledge to generate PDF from Markdown, to the user's desired degree of control, is already extant, out there somewhere. But a user j

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fun prepend(xs: int list, ys: int list)=
  if null xs
  then ys
  else (hd xs):: prepend( (tl xs), ys);

val xs = [4,5,6];
val ys = [1,2,3];

(* [4,5,6, 1,2,3] *)
prepend(xs, ys);

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def bad_prepend(xs, ys):
    if not xs:
        return ys
    else:
        final_list = bad_prepend(xs[1:], ys)
        final_list.insert(0, xs[0])
        return final_list

x = [3,2,1]
y = [0,1,2]

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Programming Achievements: How to Level Up as a Developer

This gist is part of a blog post. Check it out at:

http://jasonrudolph.com/blog/2011/08/09/programming-achievements-how-to-level-up-as-a-developer

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All programmers are API designers:
  Good programs are modular, and intermodular boundaries define APIs. Good modules get reused.

APIs can be among your greatest assets or liabilities:
  Good APIs create long-term customers; bad ones create long-term support nightmares.

Public APIs, like diamonds, are forever:
  You have one chance to get it right so give it your best.

APIs should be easy to use and hard to misuse:

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gs \
  -dCompatibilityLevel=1.4 \
  -dCompressFonts=true \
  -dSubsetFonts=true \
  -dNOPAUSE \
  -dBATCH \
  -sDEVICE=pdfwrite \
  -sOutputFile=$2 \
  -c ".setpdfwrite <</NeverEmbed [ ]>> setdistillerparams" \
  -f $1

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# from py2.6 distr

# -*- coding: utf-8 -*-
"""
    ast
    ~~~

    The `ast` module helps Python applications to process trees of the Python
    abstract syntax grammar.  The abstract syntax itself might change with
    each Python release; this module helps to find out programmatically what

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#!/bin/bash
## This gist contains step by step instructions to install cuda v10.0 and cudnn 7.5 in Ubuntu 18.04

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

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#!/bin/bash
sudo apt update
sudo apt install apt-transport-https ca-certificates curl software-properties-common
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu bionic stable"
sudo apt update
apt-cache policy docker-ce
sudo apt install docker-ce
sudo systemctl status docker

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#create key.pem and cert.pem using the following command
# >> openssl req -x509 -newkey rsa:2048 -keyout key.pem -out cert.pem -days 365


import BaseHTTPServer, SimpleHTTPServer
import ssl

httpd = BaseHTTPServer.HTTPServer(('0.0.0.0', 443),
        SimpleHTTPServer.SimpleHTTPRequestHandler)