Skip to content
Blockchain Technology For Data Scientists
Jupyter Notebook
Branch: master
Clone or download
Latest commit 41812a1 Sep 26, 2019
Type Name Latest commit message Commit time
Failed to load latest commit information.
data updated slides Sep 25, 2019
slides cleaned up slides Mar 29, 2019
.gitignore Initial commit Mar 4, 2019
Block Statistics.ipynb updated slides Sep 25, 2019
LICENSE Initial commit Mar 4, 2019 update README Aug 24, 2019
Validate Blocks.ipynb updated slides Sep 25, 2019 sort script Mar 14, 2019

Blockchain Technology For Data Scientists

Code and slides to accompany the online series of webinars: by Data For Science.

Bitcoin has brought about a true revolution in how we think about money. In one fell stroke it solved the main problems that afflicted previous attempts at a truly digital currency: distributed consensus, double spending, and external attacks. Perhaps more importantly, it provided the first working version of a blockchain or distributed ledger. However, despite their relative simplicity, the underlying concepts on which these technologies are built are not well known and often obscured by hype and technical jargon.

Since the days of Bitcoin’s founding, many other crypto-currencies have been proposed and released. This tutorial will introduce these technologies in an intuitive way for data scientists, explaining their driving algorithms, motivations, and data structures.


You can’t perform that action at this time.