A tweet-sized debugger for visualizing your CSS layouts. Outlines every DOM element on your page a random (valid) CSS hex color.
One-line version to paste in your DevTools
Use $$
if your browser aliases it:
~ 108 byte version
cd my_rails_app_root_dir | |
rm bin/* | |
bundle exec rake rails:update:bin | |
bundle binstubs rspec-core | |
spring binstub --all |
#!/bin/bash | |
# A script to set up a new mac. Uses bash, homebrew, etc. | |
# Focused for ruby/rails development. Includes many utilities and apps: | |
# - homebrew, rvm, node | |
# - quicklook plugins, terminal fonts | |
# - browsers: chrome, firefox | |
# - dev: iterm2, sublime text, postgres, chrome devtools, etc. | |
# - team: slack, dropbox, google drive, skype, etc |
The current kernel/drivers of Fedora 24 do not support the Wifi chip used on my Mac Book Pro. Proprietary Broadcom drivers are packaged and available in the rpmfusion repo.
Verify that your card is a Broadcom using: lspci -vnn -d 14e4:
Sample output:
02:00.0 Network controller [0280]: Broadcom Corporation BCM4360 802.11ac Wireless Network Adapter [14e4:43a0] (rev 03)
Install the rpmfusion repo, note only "nonfree" is required, as the Broadcom Driver is proprietry: http://rpmfusion.org/
#!/bin/bash | |
yum install -y aws-cli | |
cd /home/ec2-user/ | |
aws s3 cp 's3://aws-codedeploy-us-east-1/latest/codedeploy-agent.noarch.rpm' . --region us-east-1 | |
yum -y install codedeploy-agent.noarch.rpm |
"***************************************************************************** | |
"" NeoBundle core | |
"***************************************************************************** | |
if has('vim_starting') | |
set nocompatible " Be iMproved | |
" Required: | |
set runtimepath+=~/.config/nvim/bundle/neobundle.vim/ | |
endif |
http://guides.rubyonrails.org/migrations.html
<!doctype html> | |
<html ng-app="app"> | |
<head> | |
<meta charset="utf-8"> | |
<title>WebApp</title> | |
<meta name="description" content=""> | |
<meta name="viewport" content="width=device-width"> | |
<!-- Place favicon.ico and apple-touch-icon.png in the root directory --> | |
<!-- build:css(.) styles/vendor.css --> |
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
AntonioMacMachine:reaction joanzare$ reaction | |
Starting Reaction. | |
[[[[[ ~/projects/temp/georgieboy/reaction ]]]]] | |
=> Started proxy. | |
=> Started MongoDB. | |
/Users/joanzare/.meteor/packages/meteor-tool/.1.1.10.1b51q9m++os.osx.x86_64+web.browser+web.cordova/mt-os.osx.x86_64/dev_bundle/lib/node_modules/fibers/future.js:245 | |
throw(ex); | |
^ |