| import requests | |
| import time | |
| import os | |
| import sys | |
| import openai | |
| import tiktoken | |
| from termcolor import colored | |
| openai.api_key = open(os.path.expanduser('~/.openai')).read().strip() |
Brought to you by Headjack
FFmpeg is one of the most powerful tools for video transcoding and manipulation, but it's fairly complex and confusing to use. That's why I decided to create this cheat sheet which shows some of the most often used commands.
Let's start with some basics:
ffmpeg calls the FFmpeg application in the command line window, could also be the full path to the FFmpeg binary or .exe file
Debian Jessie does not come with the correct Python version out of the box, and instead comes with Python 2. To be able to install Python 3(.5), we have a few options. We could build and install from source, but as per Debian's website, we shouldn't do this. Instead, we will use pyenv, a tool that allows users to switch Python versions easily without breaking their system.
To install pyenv, we will use the official installer.
curl -L https://raw.githubusercontent.com/yyuu/pyenv-installer/master/bin/pyenv-installer | bash
(by @andrestaltz)
So you're curious in learning this new thing called Reactive Programming, particularly its variant comprising of Rx, Bacon.js, RAC, and others.
Learning it is hard, even harder by the lack of good material. When I started, I tried looking for tutorials. I found only a handful of practical guides, but they just scratched the surface and never tackled the challenge of building the whole architecture around it. Library documentations often don't help when you're trying to understand some function. I mean, honestly, look at this:
Rx.Observable.prototype.flatMapLatest(selector, [thisArg])
Projects each element of an observable sequence into a new sequence of observable sequences by incorporating the element's index and then transforms an observable sequence of observable sequences into an observable sequence producing values only from the most recent observable sequence.
Magic words:
psql -U postgresSome 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)
| { | |
| "AWSTemplateFormatVersion" : "2010-09-09", | |
| "Description" : "Launches a Docker Registry.", | |
| "Parameters" : { | |
| "InstanceType" : { | |
| "Description" : "EC2 instance type", | |
| "Type" : "String", | |
| "Default" : "m1.small", |
For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.
Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.
You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.
| # to generate your dhparam.pem file, run in the terminal | |
| openssl dhparam -out /etc/nginx/ssl/dhparam.pem 2048 |
| import javax.net.ssl.SSLParameters; | |
| import javax.net.ssl.SSLSocket; | |
| import javax.net.ssl.SSLSocketFactory; | |
| import java.io.*; | |
| /** Establish a SSL connection to a host and port, writes a byte and | |
| * prints the response. See | |
| * http://confluence.atlassian.com/display/JIRA/Connecting+to+SSL+services | |
| */ | |
| public class SSLPoke { |