A list of useful commands for the FFmpeg command line tool.
Download FFmpeg: https://www.ffmpeg.org/download.html
Full documentation: https://www.ffmpeg.org/ffmpeg.html
using Luxor, Thebes, MathTeXEngine | |
function frame(scene, framenumber) | |
background("white") | |
sethue("black") | |
fontsize(15) | |
eased_n = scene.easingfunction(framenumber, 0, 1, scene.framerange.stop) | |
helloworld() | |
eyepoint(200, 200, 100) | |
setline(0.5) |
# Add this file to ~/.julia/config/ (mkdir config if necessary) | |
try | |
using Coverage | |
catch e | |
@warn "Error initializing Coverage: trying install" exception = (e, catch_backtrace()) | |
using Pkg | |
Pkg.add("Coverage") | |
end |
#!/usr/bin/env ruby | |
# gem install active_support | |
require 'active_support/inflector' | |
require 'active_support/core_ext/string' | |
# gem install webrick (only ruby3) | |
require 'webrick' | |
# gem install mechanize |
"""Add a warning to the top of any documentation page for the "latest" version | |
on ReadTheDocs (RTD). Somewhat confusingly, "latest" is the latest development | |
version, not the latest release (which is stable). | |
Note that RTD has a builtin feature to show a similar warning on the | |
documentation of old releases. This can be enable in the Admin section on RTD, | |
under "Advanced Settings", "Show version warning" | |
""" | |
# This program is public domain | |
# Author: Michael Goerz |
A list of useful commands for the FFmpeg command line tool.
Download FFmpeg: https://www.ffmpeg.org/download.html
Full documentation: https://www.ffmpeg.org/ffmpeg.html
((*- extends 'article.tplx' -*)) | |
% See http://blog.juliusschulz.de/blog/ultimate-ipython-notebook#templates | |
% for some useful tips | |
%=============================================================================== | |
% Document class | |
%=============================================================================== | |
((* block docclass *)) |
This gist contains out.tex
, a tex file that adds a PDF outline ("bookmarks") to the freely available pdf file of the book
The Elements of Statistical Learning (2nd ed), by Trevor Hastie, Robert Tibshirani, and Jerome Friedman
https://web.stanford.edu/~hastie/ElemStatLearn/
The bookmarks allow to navigate the contents of the book while reading it on a screen.