Piyush Singh Piyush3dB

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

Clarify and agree on the scope of the system

User cases (description of sequences of events that, taken together, lead to a system doing something useful)
- Who is going to use it?
- How are they going to use it?

A curated list of AWS resources to prepare for the AWS Certifications

A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.

FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.

Effective Engineer - Notes

By Edmond Lau
Highly Recommended 👍
http://www.theeffectiveengineer.com/

What's an Effective Engineer?

58 bytes of CSS to look great nearly everywhere

When making this website, i wanted a simple, reasonable way to make it look good on most displays. Not counting any minimization techniques, the following 58 bytes worked well for me:

main {
  max-width: 38rem;
  padding: 2rem;
  margin: auto;
}

	(function() {

	// Based on article @ http://www.toptal.com/d3-js/towards-reusable-d3-js-charts
	// Publish a factory method for Chart instances
	// @usage:
	// var runningChart = BarChart.instanceOf( {barPadding : 2 } );
	// var weatherChart = BarChart.instanceOf()
	// .fillColor('coral');

	window.BarChart = {

	# Use Python 3 for easy unicode
	$ virtualenv -p python3 .env
	$ source .env/bin/activate
	$ pip install django
	$ deactivate

	# Start new django project and app
	$ django-admin.py startproject mysite
	$ ./manage.py migrate
	$ ./manage.py createsuperuser

	### Generic Dockerfile demonstrating good practices


	### Imports

	# Bad-ish, we do not need Ubuntu for this, nor do we want latest if we are using in a build system, predictable is better
	FROM ubuntu:latest

	# Better, using a small image since our app has no dependency on Ubuntu
	FROM alpine:3.3

	https://devtalk.nvidia.com/default/topic/933827/cuda-programming-and-performance/fast-256-bin-histogram/
	http://www.cse.uconn.edu/~zshi/course/cse5302/ref/chhugani08sorting.pdf
	http://link.springer.com/chapter/10.1007/978-3-642-23397-5_16
	http://arxiv.org/abs/1008.2849 Faster Radix Sort via Virtual Memory and Write-Combining Jan Wassenberg, Peter Sanders

	https://devtalk.nvidia.com/default/topic/378826/cuda-programming-and-performance/my-speedy-sgemm/post/2703033/#2703033
	https://devtalk.nvidia.com/default/topic/390366/cuda-programming-and-performance/instruction-latency/post/2768197/#2768197
	https://devtalk.nvidia.com/default/topic/913832/cuda-programming-and-performance/sum-reduction-working-in-fermi-kepler-and-maxwell/
	https://devtalk.nvidia.com/default/topic/776043/cuda-programming-and-performance/whats-new-in-maxwell-sm_52-gtx-9xx-/1
	https://devtalk.nvidia.com/default/topic/690631/cuda-programming-and-performance/so-whats-new-about-maxwell-/post/4305310/#4305310

	""" 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