xen0f0n xen0f0n

Markdown and reStructuredText

GitHub supports several lightweight markup languages for documentation; the most popular ones (generally, not just at GitHub) are Markdown and reStructuredText. Markdown is sometimes considered easier to use, and is often preferred when the purpose is simply to generate HTML. On the other hand, reStructuredText is more extensible and powerful, with native support (not just embedded HTML) for tables, as well as things like automatic generation of tables of contents.

Contents

Markdown and reStructuredText

Markdown and reStructuredText

GitHub supports several lightweight markup languages for documentation; the most popular ones (generally, not just at GitHub) are Markdown and reStructuredText. Markdown is sometimes considered easier to use, and is often preferred when the purpose is simply to generate HTML. On the other hand, reStructuredText is more extensible and powerful, with native support (not just embedded HTML) for tables, as well as

Libraries for a modern geospatial workflow

Distribution

Numpy

Disclaimer: I wrote the packages language-latex2e, autocomplete-latex, latex-wordcount, and hyperclick-latex. I still try to provide a list of all useful packages though, so let me know if I have missed one.

This is a general guide for how to get started with LaTeX in Atom.

NOTE: This guide assumes you already have LaTeX installed on your computer. If you do not, I recommend TeX Live.

Why I chose Fish over Bash for students

I'm currently the lead instructor at Code Platoon and an instructor/developer at the Turing School of Software and Design.

I've been advocating the Fish shell and when the choice is up to me, I choose that for my students. Enough people ask about the decision, particularly in relation to the preinstalled Bash shell, that I figured it's worth laying out my reasoning.

TL;DR

Code is clean if it can be understood easily – by everyone on the team. Clean code can be read and enhanced by a developer other than its original author. With understandability comes readability, changeability, extensibility and maintainability.

General rules

Follow standard conventions.
Keep it simple stupid. Simpler is always better. Reduce complexity as much as possible.
Boy scout rule. Leave the campground cleaner than you found it.
Always find root cause. Always look for the root cause of a problem.

Design rules

Building Tensorflow from source on Ubuntu 16.04LTS for maximum performance:

TensorFlow is now distributed under an Apache v2 open source license on GitHub.

On Ubuntu 16.04LTS+:

Step 1. Install NVIDIA CUDA:

To use TensorFlow with NVIDIA GPUs, the first step is to install the CUDA Toolkit as shown:

	List of MOC Keys
	enter -- starts playing
	s -- stops playing
	n -- plays next item from the playlist
	b -- plays previous item from the playlist
	space -- pause
	p -- pause

	S -- plays at random
	R -- repeats the same song in a loop,

	# 0 is too far from ` ;)
	set -g base-index 1

	# Automatically set window title
	set-window-option -g automatic-rename on
	set-option -g set-titles on

	#set -g default-terminal screen-256color
	set -g status-keys vi
	set -g history-limit 10000