For the longest time I was under the impression that multiple HTML5 canvases would translate to faster performance.

Not sure where that idea might have come from

The Inlandia Institute is a lively center of literary activity serving the 29,000 sq. mile inland Southern California Region. It grew out of the highly acclaimed anthology Inlandia: A Literary Journey through California’s Inland Empire, published by Heyday Books in 2006 with the active participation of the Riverside Public Library.

Decided to start experimenting with Python. I see plenty of jobs available using the language and I am interested so why not.

As usual when learning a new language I start by following the documentation learning how to print, concatenate,...do a little math. Then I see how I might port some of the basic things I might normally do. 

A LOOOooong time ago...well 2001-2002'ish (I think). I was playing around a lot with Game Maker by Mark Overmars. There was developer named Brent who went by the handle Freegadgets who made a 3D engine Gadget 3D. It was really quite impressive. He started off by simply remaking a simple version of Doom. Over time he expanded it and eventually it used actual 3D polygons. It was loads of fun to build games with it and very easy. It was also a great learning tool. (As with MANY of my old projects I lost most of the games and models I built during this period).

View the source code here: https://github.com/061375/Wes.Mantooth/tree/master/wip/rpg

See The demo here: http://wesmantooth.jeremyheminger.com/wip/rpg/simple.php

Use your computers arrow keys to control the player.

For fun on occasion I will build a simple animation for the 404 "document not found" page of a website I am building. Over the last few years working for Geographics I built a few. There is an office cat named Zip who is often my muse and is the subject of all of these animations. Unfortunately I do these on my spare time and I tended to quit before they were finished.

This is a fun little experiment that proves that strange attractors really exist. The result can be easily reproduced in the real world with a ruler, a pencil and a piece of paper. It's not just some philosophical idea or some far out complicated mathematics. 

Recently I started following tutorials on YouTube provided by Google on using and understanding deep-learning. This is a subject I have had some interest in recently. These tutorials not only gave me a foot-hold on how to use deep-learning, but have also given me an opportunity to start using Python as a language.