- Lynn Root
- roguelynn.com
- roguelynn-spy.herokuapp.com
Use scapy
python library for sniffing network traffic. Chrome does one DNS request for each autocomplete guess. Interesting.
- MODX Addons/Extras | |
- PHP Libraries + Classes | |
- jQuery Plugins | |
- Web Services | |
- Bootstrap Resources | |
- Web Tools - Online | |
- Web Resources | |
- Javascript Resources, Plugins + Libraries | |
- Graphic Resources | |
- Fonts |
#!/usr/bin/env sh | |
# first check to see if mongo service is running. you can't delete any files until the service stops so perform a quick check. | |
launchctl list | grep mongo | |
# NOTE: the pipe | symbol means the commands on the right performs on the output from the left | |
# grep is a string search utility. `grep mongo` means search for the substring mongo | |
# use the unload command to end the mongo service. this is required to 'unlock' before removing the service. | |
# first look for the file to delete | |
MONGO_SERVICE_FILE=$(ls ~/Library/LaunchAgents/*mongodb*) |
# Terminal Cheat Sheet | |
pwd # print working directory | |
ls # list files in directory | |
cd # change directory | |
~ # home directory | |
.. # up one directory | |
- # previous working directory | |
help # get help | |
-h # get help |
This is the follow up to a post I wrote recently called From Require.js to Webpack - Party 1 (the why) which was published in my personal blog.
In that post I talked about 3 main reasons for moving from require.js to webpack:
Here I'll instead talk about some of the technical challenges that we faced during the migration. Despite the clear benefits in developer experience (DX) the setup was fairly difficult and I'd like to cover some of the challanges we faced to make the transition a bit easier.
A quick example of doing data wrangling from the command-line, as well as getting to know one of San Francisco's data sets: the San Francisco restaurant inspections, courtesy of the SF Department of Public Health. I don't normally do database work from the command-line, but importing bulk data into SQLite is pretty frustrating using the available GUIs or just the shell.
So thank goodness for Christopher Groskopf's csvkit, a suite of Unix-like tools that use Python to robustly handle CSV files. There's a lot of great tools in csvkit, but for this gist, I just use csvsql, which can parse a CSV and turn it into properly-flavored SQL to pass directly into your database app of choice.
# | |
# Himawari-8 Downloader | |
# | |
# | |
# | |
# This script will scrape the latest image from the Himawari-8 satellite, recombining the tiled image, | |
# converting it to a JPG which is saved in My Pictures\Himawari\ and then set as the desktop background. | |
# | |
# http://himawari8.nict.go.jp/himawari8-image.htm | |
# |
Software required:
After installation and putting the youtube-dl
in PATH
youtube-dl \
Principles of Adult Behavior