Andrew Gwozdziewycz apg

## DCPU-16Spec.txt
DCPU-16 Specification
Copyright 1985 Mojang
Version 1.7


=== SUMMARY ====================================================================

* 16 bit words
* 0x10000 words of ram

## adams-heroku-values.md

      
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              Created
              April 4, 2016 18:48
                — forked from adamwiggins/adams-heroku-values.md
            
              
                My Heroku values
              
          
    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


## data_and_streams.md

      
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    Streaming Systems:


Differential Dataflow: https://github.com/frankmcsherry/timely-dataflow - The code is ugly Rust, but the logic and linked papers are quite interesting.
Spinning Fast Iterative Dataflows: http://vldb.org/pvldb/vol5/p1268_stephanewen_vldb2012.pdf - Flink's execution model. See also http://us9.campaign-archive2.com/?u=4188b6afbe9e5d43111fef4d4&id=46ab8c2adf&e=04a33a53a5
Discretized Streams: http://www.cs.berkeley.edu/~matei/papers/2013/sosp_spark_streaming.pdf - Spark Streaming's model of operation.
Google's Dataflow Model: http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43864.pdf - This is now also available as Apache (Incubating) Beam https://wiki.apache.org/incubator/BeamProposal

Streaming More Generally:


Algorithms + Data Structures: https://gist.github.com/debasishg/8172796


## gist:efe6833eb74ac264b68b

      
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                A collection of links for streaming algorithms and data structures
              
          
General Background and Overview


Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
Models and Issues in Data Stream Systems
Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
[Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&amp;rep


## service-checklist.md

      
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              August 29, 2015 14:21
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    Internet Scale Services Checklist

A checklist for designing and developing internet scale services, inspired by James Hamilton's 2007 paper "On Desgining and Deploying Internet-Scale Services."

http://mvdirona.com/jrh/talksandpapers/jamesrh_lisa.pdf

Basic tenets


 Does the design expect failures to happen regularly and handle them gracefully?
 Have we kept things as simple as possible?


## wrapup-30.md

      
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    Round 30: Things We Say

Hello Hackers.
Thank you to The Ladders for hosting Round 30, and providing pizza and alcohol. Not unlike any other company in NYC, they're hiring, and because they were so nice to us, we repeat that here. They've hired a few Hacker Schoolers, none of which run away, which says something good about their culture. Reach out to John Connolly if you're interested: jeconnol@gmail.com
Projects

Aditya Mukerjee


## round-20-wrap-up.md

      
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              March 20, 2013 10:23
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    Subject: Round 20: Happy Hacking!

Hello Hackers-
(This wrap up is a little late--you can blame life.)
Thanks to Lot18 for hosting us! BTW, if it
wasn't obvious from all the wine, they sell wine online.
Last month's wrap up "fun way to spend some time"


## foo.c
/*

Yeah, so obviously I need to use a better salt for the key derivation, and of course I need to do a better job all together with other things (IV, etc).

This is just a test run for using libgcrypt to do symmetric encryption, however.


GCRY_KDF_PBKDF2

gcry_kdf_derive ( const void *passphrase, size_t passphraselen, int algo, int subalgo, const void *salt, size_t saltlen, unsigned long iterations, size_t keysize, void *keybuffer )

## dart.txt
---------- Forwarded message ----------
From: Mark S. Miller <erights@google.com>
Date: Tue, Nov 16, 2010 at 3:44 PM
Subject: "Future of Javascript" doc from our internal "JavaScript Summit"
last week
To: javascript-standard@google.com

On November 10th and 11th, a number of Google teams representing a variety
of viewpoints on client-side languages met to agree on a common vision for
the future of Javascript.

## project-mode.el
;;; project-mode.el
;;
;; Author: Benjamin Cluff
;; Created: 02-Feb-2010
;;
;; Synopsis:
;;   * Finding files is greatly simplified (see key bindings)
;;   * TAGS files for project files.
;;
	DCPU-16 Specification
	Copyright 1985 Mojang
	Version 1.7



	=== SUMMARY ====================================================================

	* 16 bit words
	* 0x10000 words of ram
	/*

	Yeah, so obviously I need to use a better salt for the key derivation, and of course I need to do a better job all together with other things (IV, etc).

	This is just a test run for using libgcrypt to do symmetric encryption, however.


	GCRY_KDF_PBKDF2

	gcry_kdf_derive ( const void passphrase, size_t passphraselen, int algo, int subalgo, const void salt, size_t saltlen, unsigned long iterations, size_t keysize, void *keybuffer )
	---------- Forwarded message ----------
	From: Mark S. Miller <erights@google.com>
	Date: Tue, Nov 16, 2010 at 3:44 PM
	Subject: "Future of Javascript" doc from our internal "JavaScript Summit"
	last week
	To: javascript-standard@google.com

	On November 10th and 11th, a number of Google teams representing a variety
	of viewpoints on client-side languages met to agree on a common vision for
	the future of Javascript.
	;;; project-mode.el
	;;
	;; Author: Benjamin Cluff
	;; Created: 02-Feb-2010
	;;
	;; Synopsis:
	;; * Finding files is greatly simplified (see key bindings)
	;; * TAGS files for project files.
	;;