Skip to content

Instantly share code, notes, and snippets.

View yashbhutwala's full-sized avatar
🌍
spreading tribal knowledge

Yash Bhutwala yashbhutwala

🌍
spreading tribal knowledge
View GitHub Profile
@achow101
achow101 / bitcoin-core-hww.md
Last active November 16, 2021 15:08
How to Use Bitcoin Core with Hardware Wallets

Using Bitcoin Core with Hardware Wallets

This approach is fairly manual, requires the command line, and requires a patched version of Bitcoin Core.

Note: For this guide, code lines prefixed with $ means that the command is typed in the terminal. Lines without $ are output of the commands.

Disclaimer

I am not liable for any coins that may be lost through this method. The software mentioned may have bugs. Use at your own risk.

@laanwj
laanwj / blocktoimg.py
Last active January 31, 2024 11:06
tools to write (block) data to png files and vice versa
#!/usr/bin/env python3
# Distributed under the MIT software license
import binascii, struct, sys, io, argparse
from PIL import Image
IMG_WIDTH = 512 # could be made adaptive...
MIN_HEIGHT = 4 # minimum height of image; twitter won't let us upload anything smaller
BYTES_PER_PIXEL = 4 # RGBA, 8 bit
def div_roundup(x,y):
@sipa
sipa / covert_ecdh.md
Last active January 4, 2023 10:31
Covert ECDH over secp256k1
@bobrik
bobrik / README.md
Last active August 27, 2024 08:08
CFS hiccups

A description of known problems in Satoshi Nakamoto's paper, "Bitcoin: A Peer-to-Peer Electronic Cash System", as well as notes on terminology changes and how Bitcoin's implementation differs from that described in the paper.

Abstract

The longest chain not only serves as proof of the sequence of events witnessed, but proof that it came from the largest pool of CPU power.

@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
@bastman
bastman / docker-cleanup-resources.md
Created March 31, 2016 05:55
docker cleanup guide: containers, images, volumes, networks

Docker - How to cleanup (unused) resources

Once in a while, you may need to cleanup resources (containers, volumes, images, networks) ...

delete volumes

// see: https://github.com/chadoe/docker-cleanup-volumes

$ docker volume rm $(docker volume ls -qf dangling=true)

$ docker volume ls -qf dangling=true | xargs -r docker volume rm