| /Applications/VLC.app/Contents/MacOS/VLC --macosx-audio-device="39" --audio-desync="-2000" |
| 'Twas the night before Christmas, when all through the racks | |
| Not a server was alerting, not even Compaqs. | |
| The backups were written to tapes with care | |
| In hopes that later the data would be there. | |
| The machines were nestled all snug in their sleds | |
| Whilst visions of vengeance danced in their heads; | |
| And oncall in his three-wolf and I in my rack. | |
| Had just settled down for some syn and some ack. |
Magic words:
psql -U postgres
Some interesting flags (to see all, use -h or --help depending on your psql version):
-E: will describe the underlaying queries of the \ commands (cool for learning!)-l: psql will list all databases and then exit (useful if the user you connect with doesn't has a default database, like at AWS RDS)
#Container Resource Allocation Options in docker-run
now see: https://docs.docker.com/engine/reference/run/#runtime-constraints-on-resources
You have various options for controlling resources (cpu, memory, disk) in docker. These are principally via the docker-run command options.
##Dynamic CPU Allocation
-c, --cpu-shares=0
CPU shares (relative weight, specify some numeric value which is used to allocate relative cpu share)
Below are a small collection of React examples to get anyone started using React. They progress from simpler to more complex/full featured.
They will hopefully get you over the initial learning curve of the hard parts of React (JSX, props vs. state, lifecycle events, etc).
You will want to create an index.html file and copy/paste the contents of 1-base.html and then create a scripts.js file and copy/paste the contents of one of the examples into it.
You got your hands on some data that was leaked from a social network and you want to help the poor people.
Luckily you know a government service to automatically block a list of credit cards.
The service is a little old school though and you have to upload a CSV file in the exact format. The upload fails if the CSV file contains invalid data.
The CSV files should have two columns, Name and Credit Card. Also, it must be named after the following pattern:
YYYYMMDD.csv.
| ### | |
| ### | |
| ### UPDATE: For Win 11, I recommend using this tool in place of this script: | |
| ### https://christitus.com/windows-tool/ | |
| ### https://github.com/ChrisTitusTech/winutil | |
| ### https://www.youtube.com/watch?v=6UQZ5oQg8XA | |
| ### iwr -useb https://christitus.com/win | iex | |
| ### | |
| ### OR take a look at | |
| ### https://github.com/HotCakeX/Harden-Windows-Security |
by Bjørn Friese
Beautiful is better than ugly. Explicit is better than implicit.
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.
