fawkesley

#!/bin/sh

# /etc/NetworkManager/dispatcher.d/pre-up.d/randomize-mac-addresses.sh

# INSTALL
#
# > curl -L 'https://gist.github.com/paulfurley/46e0547ce5c5ea7eabeaef50dbacef3f/raw/56ee5dd5f40dec93b8f7438cbdeda5475ea3b5d2/randomize-mac-addresses.sh' |sudo tee /etc/NetworkManager/dispatcher.d/pre-up.d/randomize-mac-addresses.sh
# > sudo chmod +x /etc/NetworkManager/dispatcher.d/pre-up.d/randomize-mac-addresses.sh

# Configure every saved WiFi connection in NetworkManager with a spoofed MAC

rondy

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?

cocoalabs

man() {
	env \
		LESS_TERMCAP_mb=$(printf "\e[1;31m") \
		LESS_TERMCAP_md=$(printf "\e[1;31m") \
		LESS_TERMCAP_me=$(printf "\e[0m") \
		LESS_TERMCAP_se=$(printf "\e[0m") \
		LESS_TERMCAP_so=$(printf "\e[1;44;33m") \
		LESS_TERMCAP_ue=$(printf "\e[0m") \
		LESS_TERMCAP_us=$(printf "\e[1;32m") \
			man "$@"

mnot

Edward Snowden at IETF 93

Edward Snowden answered questions after a showing of CITIZENFOUR at the IETF93 meeting; this is a transcript of the video recording.

For more information, see the Internet Society article.

• Introduction
• Scale of Pervasive Monitoring
• Returning to the US
• Preserving the Internet

isaacs

# Hello, and welcome to makefile basics.
#
# You will learn why `make` is so great, and why, despite its "weird" syntax,
# it is actually a highly expressive, efficient, and powerful way to build
# programs.
#
# Once you're done here, go to
# http://www.gnu.org/software/make/manual/make.html
# to learn SOOOO much more.

amatellanes

/* Useful celery config.

app = Celery('tasks',
             broker='redis://localhost:6379',
             backend='redis://localhost:6379')

app.conf.update(
    CELERY_TASK_RESULT_EXPIRES=3600,
    CELERY_QUEUES=(
        Queue('default', routing_key='tasks.#'),

hsribei

Can NAT traversal be Tor's killer feature?

tl;dr: how about a virtual global flat LAN that maps static IPs to onion addresses?

[We all know the story][1]. Random feature gets unintentionally picked up as the main reason for buying/using a certain product, despite the creator's intention being different or more general. (PC: spreadsheets; Internet: porn; smartphones: messaging.)

jsomers

How to make the Webster's 1913 your default Kindle dictionary

1. Download a Kindle-compatible version of the dictionary here. Unzip the .rar archive.

2. Get the "Send to Kindle" program on your computer. Here's the link for the Mac.

3. Right-click your recently downloaded (unzipped) dictionary file, and click the "Send to Kindle" menu item. It will arrive on your Kindle shortly.

4. Once the dictionary has arrived, go to your settings -- on my newish paperwhite, it's at Home > Settings > Device Options > Language and Dictionaries > Dictionaries > English. Choose the Webster's 1913.

debasishg

General Background and Overview

1. 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.
2. Models and Issues in Data Stream Systems
3. 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
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

kageurufu

from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Integer, Column
from postgresql_json import JSON
Base = declarative_base()

class Document(Base):
    id = Column(Integer(), primary_key=True)
    data = Column(JSON)

#do whatever other work