/bitcoin-course-exercises

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Bitcoin course exercises

To streamline the virtual machine setup, we access the exercise notebooks through a Docker container with all the necessary dependencies installed.

Prerequisites

You need

  1. git
  2. docker and docker-compose

Make sure that docker run hello-world runs through successfully.

Setup

Afterwards, in the directory where this README is located, fetch the exercises with:

git clone https://github.com/dspicher/code-demos exercises/bx

git clone https://github.com/dspicher/pb-exercises exercises/python

Finally, in the same directory, start the docker container with

docker-compose up

The final line of the output should contain a link of the form http://127.0.0.1:8888/?token=<token> where the Jupyter notebook is accessible.

The exercises folder where we have cloned the repositories is mounted into the container. Therefore, any changes you make in there will be reflected on your local file system. Feel free to test this by modifying some notebook files.

If you have never used Jupyter notebooks

Make sure to familiarize yourself a bit with notebooks. Some introductory links you may find helpful:

Python Exercises Index

  • Session 0
    • Python & Jupyter tips
    • Modulo arithmetic
    • Endianness, int-to-bytes
  • Session 1
    • EC field and group operations
  • Session 2
    • EC group operations
    • Public key encoding
    • Base58 addresses
  • Session 3
    • ECDSA signatures
    • Transaction parsing
  • Session 4
    • Script
    • Transaction serializing
    • Inputs, outputs, fees
    • Script validation
  • Session 5
    • P2PKH, P2SH addresses
    • Transaction & endorsement construction
    • Multisig Script
  • Session 6
    • Block parsing, serialization
    • Coinbase transactions
    • Target, difficulty, bits
    • PoW
  • Session 7
    • P2P
    • Header download
    • Merkle trees
  • Session 8
    • Bloom filters
    • SPV