Saeed Gholami Shahbandi saeedghsh

The original universal static instagram

(back when it was still a jekyll plugin)

Linked to from http://lukecod.es/2011/11/27/instagram-liquid-tag-plugin-for-jekyll-and-octopress/

Make it real

Ideas are cheap. Make a prototype, sketch a CLI session, draw a wireframe. Discuss around concrete examples, not hand-waving abstractions. Don't say you did something, provide a URL that proves it.

Ship it

Nothing is real until it's being used by a real user. This doesn't mean you make a prototype in the morning and blog about it in the evening. It means you find one person you believe your product will help and try to get them to use it.

Do it with style

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

Orthodox C++

What is Orthodox C++?

Orthodox C++ (sometimes referred as C+) is minimal subset of C++ that improves C, but avoids all unnecessary things from so called Modern C++. It's exactly opposite of what Modern C++ suppose to be.

Why not Modern C++?

Aligning images

This is a guide for aligning images.

See the full Advanced Markdown doc for more tips and tricks

	# If you work with git, you've probably had that nagging sensation of not knowing what branch you are on. Worry no longer!

	export PS1="\\w:\$(git branch 2>/dev/null \| grep '^*' \| colrm 1 2)\$ "

	# This will change your prompt to display not only your working directory but also your current git branch, if you have one. Pretty nifty!

	# ~/code/web:beta_directory$ git checkout master
	# Switched to branch "master"
	# ~/code/web:master$ git checkout beta_directory
	# Switched to branch "beta_directory"

	#!/usr/bin/python2


	# Copyright (C) 2016 Sixten Bergman
	# License WTFPL
	#
	# This program is free software. It comes without any warranty, to the extent
	# permitted by applicable law.
	# You can redistribute it and/or modify it under the terms of the Do What The
	# Fuck You Want To Public License, Version 2, as published by Sam Hocevar. See

	""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
	import numpy as np
	import cPickle as pickle
	import gym

	# hyperparameters
	H = 200 # number of hidden layer neurons
	batch_size = 10 # every how many episodes to do a param update?
	learning_rate = 1e-4
	gamma = 0.99 # discount factor for reward