Hands-On Bitcoin Programming with Python (Paperback or Softback)
Garg, Harish Kumar
Sold by BargainBookStores, Grand Rapids, MI, U.S.A.
AbeBooks Seller since January 23, 2002
New - Soft cover
Condition: New
Quantity: 5 available
Add to basketSold by BargainBookStores, Grand Rapids, MI, U.S.A.
AbeBooks Seller since January 23, 2002
Condition: New
Quantity: 5 available
Add to basketHands-On Bitcoin Programming with Python 0.37.
Seller Inventory # BBS-9781789537000
Simplified Python programming for Bitcoin and blockchain
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.
Hands-On Bitcoin Programming with Python consists of examples that will teach you to build your own Bitcoin application. You will learn to write scripts, build software for mining, and create Bitcoins using Python. Anyone with prior Python experience, who wants to explore Python Bitcoin programming and start building Bitcoin-driven Python apps, will find this book useful.
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.
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