Arinerron

android.permission.ACCESS_ALL_DOWNLOADS
android.permission.ACCESS_BLUETOOTH_SHARE
android.permission.ACCESS_CACHE_FILESYSTEM
android.permission.ACCESS_CHECKIN_PROPERTIES
android.permission.ACCESS_CONTENT_PROVIDERS_EXTERNALLY
android.permission.ACCESS_DOWNLOAD_MANAGER
android.permission.ACCESS_DOWNLOAD_MANAGER_ADVANCED
android.permission.ACCESS_DRM_CERTIFICATES
android.permission.ACCESS_EPHEMERAL_APPS
android.permission.ACCESS_FM_RADIO

garybernhardt

This document has moved!

It's now here, in The Programmer's Compendium. The content is the same as before, but being part of the compendium means that it's actively maintained.

postpostscript

#!/bin/sh

command="${*}"
printf "Initialized REPL for `%s`\n" "$command"
printf "%s> " "$command"
read -r input
while [ "$input" != "" ];
do
    eval "$command $input"
    printf "%s> " "$command"

boredzo

man() {
	env \
		LESS_TERMCAP_md=$'\e[1;36m' \
		LESS_TERMCAP_me=$'\e[0m' \
		LESS_TERMCAP_se=$'\e[0m' \
		LESS_TERMCAP_so=$'\e[1;40;92m' \
		LESS_TERMCAP_ue=$'\e[0m' \
		LESS_TERMCAP_us=$'\e[1;32m' \
			man "$@"
}

bearfrieze

Comprehensions in Python the Jedi way

by Bjørn Friese

Beautiful is better than ugly. Explicit is better than implicit.

-- The Zen of Python

I frequently deal with collections of things in the programs I write. Collections of droids, jedis, planets, lightsabers, starfighters, etc. When programming in Python, these collections of things are usually represented as lists, sets and dictionaries. Oftentimes, what I want to do with collections is to transform them in various ways. Comprehensions is a powerful syntax for doing just that. I use them extensively, and it's one of the things that keep me coming back to Python. Let me show you a few examples of the incredible usefulness of comprehensions.

dannguyen

Using Python 3 + Google Cloud Vision API's OCR to extract text from photos and scanned documents

Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.

The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.

On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:

####### 1. A low-resolution photo of road signs

bishboria

These links no longer work. Springer have pulled the free plug.

Graduate texts in mathematics

duplicates = multiple editions

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

CMCDragonkai

# do it once
seq 1 | parallel -n0 "curl -H 'Content-Type: application/json' http://httpbin.org/post -X POST -d '{\"url\":\"http://google.com/\"}'"

# do it twice
seq 2 | parallel -n0 "curl -H 'Content-Type: application/json' http://httpbin.org/post -X POST -d '{\"url\":\"http://google.com/\"}'"

# do it 4 times, but at 2 a time
seq 4 | parallel -n0 -j2 "curl -H 'Content-Type: application/json' http://httpbin.org/post -X POST -d '{\"url\":\"http://google.com/\"}'"

# you can also put all your commands into a file

paulirish

/* bling.js */
window.$ = document.querySelector.bind(document);
window.$$ = document.querySelectorAll.bind(document);
Node.prototype.on = window.on = function(name, fn) { this.addEventListener(name, fn); };
NodeList.prototype.__proto__ = Array.prototype;
NodeList.prototype.on = function(name, fn) { this.forEach((elem) => elem.on(name, fn)); };

akras14

Git Cheat Sheet

Commands

Getting Started

git init

or