Install Synthwave ’84/Synthwave + Fluoromachine theme on VS Code (I used the Fluoromachine one)
Install Custom CSS and JS Loader
Command + Shift + P to open command palette > "Preferences: Open settings (JSON)"
Hey everyone - this is not just a one off thing, there are likely to be many other modules in your dependency trees that are now a burden to their authors. I didn't create this code for altruistic motivations, I created it for fun. I was learning, and learning is fun. I gave it away because it was easy to do so, and because sharing helps learning too. I think most of the small modules on npm were created for reasons like this. However, that was a long time ago. I've since moved on from this module and moved on from that thing too and in the process of moving on from that as well. I've written way better modules than this, the internet just hasn't fully caught up.
@broros
otherwise why would he hand over a popular package to a stranger?
If it's not fun anymore, you get literally nothing from maintaining a popular package.
One time, I was working as a dishwasher in a restu
Tired of spamming Yubikey one-time password (OTP) codes into Slack? Here are two options to help prevent that. You can do either or both. Both require ykman, the Yubikey CLI configuration manager. Get it with Homebrew:
brew install ykman
If you…
We're looking at CPU bandwidth control via CFS:
Program does number of iterations, in each iteration we burn CPU in small chunks until we get 5ms of real time spent. On each iteration we also print how much
This is a compiled list of falsehoods programmers tend to believe about working with time.
Don't re-invent a date time library yourself. If you think you understand everything about time, you're probably doing it wrong.
| # install epel-release on centos | |
| yum -y install epel-release | |
| yum -y update | |
| # install python-pip from epel | |
| yum -y install python-pip | |
| # Verify using: | |
| pip -V |
The following recipes are sampled from a trained neural net. You can find the repo to train your own neural net here: https://github.com/karpathy/char-rnn Thanks to Andrej Karpathy for the great code! It's really easy to setup.
The recipes I used for training the char-rnn are from a recipe collection called ffts.com And here is the actual zipped data (uncompressed ~35 MB) I used for training. The ZIP is also archived @ archive.org in case the original links becomes invalid in the future.
| ##TCP FLAGS## | |
| Unskilled Attackers Pester Real Security Folks | |
| ============================================== | |
| TCPDUMP FLAGS | |
| Unskilled = URG = (Not Displayed in Flag Field, Displayed elsewhere) | |
| Attackers = ACK = (Not Displayed in Flag Field, Displayed elsewhere) | |
| Pester = PSH = [P] (Push Data) | |
| Real = RST = [R] (Reset Connection) | |
| Security = SYN = [S] (Start Connection) |
