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@karpathy
karpathy / pg-pong.py
Created May 30, 2016 22:50
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym
# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward
@wpscholar
wpscholar / vagrant-cheat-sheet.md
Last active May 10, 2026 16:01
Vagrant Cheat Sheet

Typing vagrant from the command line will display a list of all available commands.

Be sure that you are in the same directory as the Vagrantfile when running these commands!

Creating a VM

  • vagrant init -- Initialize Vagrant with a Vagrantfile and ./.vagrant directory, using no specified base image. Before you can do vagrant up, you'll need to specify a base image in the Vagrantfile.
  • vagrant init <boxpath> -- Initialize Vagrant with a specific box. To find a box, go to the public Vagrant box catalog. When you find one you like, just replace it's name with boxpath. For example, vagrant init ubuntu/trusty64.

Starting a VM

  • vagrant up -- starts vagrant environment (also provisions only on the FIRST vagrant up)
@vasanthk
vasanthk / System Design.md
Last active May 9, 2026 23:00
System Design Cheatsheet

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

  1. Clarify and agree on the scope of the system
  • User cases (description of sequences of events that, taken together, lead to a system doing something useful)
    • Who is going to use it?
    • How are they going to use it?
@omenking
omenking / prompt.txt
Created October 28, 2024 19:07
Prompt Example for Lovable GPTPrompt
# Role/Profession
Frontend Developer
# Project Description
## Project Brief
We are building a japanese langauge learning web-app which serves the following purposes:
- A portal to launch study activities
@tsiege
tsiege / The Technical Interview Cheat Sheet.md
Last active May 8, 2026 18:12
This is my technical interview cheat sheet. Feel free to fork it or do whatever you want with it. PLEASE let me know if there are any errors or if anything crucial is missing. I will add more links soon.

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!






\

@dideler
dideler / bot.rb
Last active May 8, 2026 10:36
Sending a notification message to Telegram using its HTTP API via cURL
# Use this script to test that your Telegram bot works.
#
# Install the dependency
#
# $ gem install telegram_bot
#
# Run the bot
#
# $ ruby bot.rb
#
@leonardofed
leonardofed / README.md
Last active May 8, 2026 07:19
A curated list of AWS resources to prepare for the AWS Certifications


A curated list of AWS resources to prepare for the AWS Certifications

A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.


@Brayden
Brayden / drive.sh
Created January 27, 2026 15:15
Mounted R2 Drive
#!/usr/bin/env bash
set -euo pipefail
bold() { printf "\033[1m%s\033[0m\n" "$*"; }
info() { printf "• %s\n" "$*"; }
warn() { printf "\033[33m! %s\033[0m\n" "$*"; }
err() { printf "\033[31m✗ %s\033[0m\n" "$*" >&2; }
ok() { printf "\033[32m✓ %s\033[0m\n" "$*"; }
require_macos() {
@hellerbarde
hellerbarde / latency.markdown
Created May 31, 2012 13:16 — forked from jboner/latency.txt
Latency numbers every programmer should know

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs