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See the full Advanced Markdown doc for more tips and tricks
| Byobu Commands | |
| ============== | |
| byobu Screen manager | |
| Level 0 Commands (Quick Start) | |
| ------------------------------ | |
| <F2> Create a new window |
| using System; | |
| using System.Diagnostics; | |
| using System.Collections.Generic; | |
| namespace Simplex { | |
| class Simplex { | |
| private double[] c; | |
| private double[,] A; | |
| private double[] b; | |
| private HashSet<int> N = new HashSet<int>(); |
| {"fa-adjust" "data:image/png;base64,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 |
| var AWS = require('aws-sdk'), | |
| fs = require('fs'); | |
| // http://docs.aws.amazon.com/AWSJavaScriptSDK/guide/node-configuring.html#Credentials_from_Disk | |
| AWS.config.loadFromPath('./aws-config.json'); | |
| // assume you already have the S3 Bucket created, and it is called ierg4210-shopxx-photos | |
| var photoBucket = new AWS.S3({params: {Bucket: 'ierg4210-shopxx-photos'}}); | |
| function uploadToS3(file, destFileName, callback) { |
| // The Following solves a linear programming problem | |
| // In standardized form using the simplex method | |
| // Please the read below. | |
| /************************************************USAGE************************************************************* | |
| * 1.Create an instance of the simplex class | |
| * 2.Fill in the table with the standardized form of the problem by calling simplex.fillTable() | |
| * 3.Create a while loop and call the simplex.compute() method until it returns ERROR.IS_OPTIMAL or ERROR.UNBOUNDED | |
| * ****************************************************************************************************************/ | |
| public class Simplex { |
This is a guide for aligning images.
See the full Advanced Markdown doc for more tips and tricks
| " Specify a directory for plugins | |
| call plug#begin('~/.vim/plugged') | |
| Plug 'neoclide/coc.nvim', {'branch': 'release'} | |
| Plug 'scrooloose/nerdtree' | |
| "Plug 'tsony-tsonev/nerdtree-git-plugin' | |
| Plug 'Xuyuanp/nerdtree-git-plugin' | |
| Plug 'tiagofumo/vim-nerdtree-syntax-highlight' | |
| Plug 'ryanoasis/vim-devicons' | |
| Plug 'airblade/vim-gitgutter' |
You can use this diagram as a template to create your own git branching diagrams. Here's how:
https://gist.githubusercontent.com/bryanbraun/8c93e154a93a08794291df1fcdce6918/raw/bf563eb36c3623bb9e7e1faae349c5da802f9fed/template-data.xmlUnfortunately nvm use on Windows does not change the node version to that specified in the .nvmrc file as its not supported on nvm for Windows: coreybutler/nvm-windows#388
So the easiest solution to this is to use a simple Powershell command that performs an approximation of the command as follows:
nvm use $(Get-Content .nvmrc).replace( 'v', '' );
However, thats a bit awkward and we can do a bit more so instead, we can create an 'alias' to a function that calls the command instead:
function callnvm() {
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.