Hands-On Bitcoin Programming with Python

More Information
Learn
  • Master the Bitcoin APIs in Python to manipulate Bitcoin from your Python apps
  • Build your own Bitcoin trading bots to buy Bitcoins at a lower price and sell them at a higher price
  • Write scripts to process Bitcoin payments through a website or app
  • Develop software for Bitcoin mining to create Bitcoin currency on your own computer hardware
  • Create your own keys, addresses, and wallets in Python code
  • Write software to analyze Bitcoin transactions and produce reports, graphs, and other visualizations
About

Bitcoin is a cryptocurrency that’s changing the face of online payments. Hands-On Bitcoin Programming with Python teaches you to build software applications for mining and creating Bitcoins using Python.

This book starts with the basics of both Bitcoin and blockchain and gives you an overview of these inherent concepts by showing you how to build Bitcoin-driven applications with Python. Packed with clear instructions and practical examples, you will learn to understand simple Python coding examples that work with this cryptocurrency.

By the end of the book, you’ll be able to mine Bitcoins, accept Bitcoin payments on the app, and work with the basics of blockchain technology to create simply distributed ledgers.

Features
  • Build Bitcoin applications in Python with the help of simple examples
  • Mine Bitcoins, program Bitcoin-enabled APIs and transaction graphs, and build trading bots
  • Analyze Bitcoin transactions and produce visualizations using Python data analysis tools
Page Count 90
Course Length 2 hours 42 minutes
ISBN 9781789537000
Date Of Publication 29 Aug 2018

Authors

Harish Kumar Garg

Harish Kumar Garg founder of BignumWorks Software LLP, is a data scientist and a lead software developer with 17 years' experience in the software industry. BignumWorks Software LLP is an India-based software consultancy that provides consultancy services in the area of software development and technical training. Harish has worked for McAfee and Intel for over 11 years. He is an expert in creating data visualizations using R, Python, and web-based visualization libraries.