Build Your Own Blockchain – The Basics¶
This tutorial will walk you through the basics of how to build a blockchain from scratch. Focusing on the details of a concrete example will provide a deeper understanding of the strengths and limitations of blockchains. For a higher-level overview, I’d recommend this excellent article from BitsOnBlocks.
Download the full Jupyter/iPython notebook from Github here Build Your Own Blockchain – The Basics¶This tutorial will walk you through the basics of how to build a blockchain from scratc…
Source: Build Your Own Blockchain: A Python Tutorial – @Ecomunsing
Cryptocurrency market has been growing rapidly that being an Analyst, It intrigued me what does it comprise of. In this post, I’ll explain how can we analyze the Cryptocurrency Market in R with the help of the package coinmarketcapr. Coinmarketcapr package is an R wrapper around coinmarketcap API.
Analysing Cryptocurrency Market in R
Source: Analysing Cryptocurrency Market in R | R-bloggers
October 26, 2017
By Abdul Majed Raja
mailR allows users to send emails from R.It is developed as a wrapper around Apache Commons Email and offers several features to send emails from R such as:using authentication-based SMTP serverssending emails to multiple recipients (including the use of Cc, Bcc, and ReplyTo recipients)attaching multiple files from the file system or from URLssending HTML formatted emails with inline images.
Image by By Fabián Alexis (https://github.com/fabianalexisinostroza/Antu) [CC BY-SA 3.0 (https://creativecommons.org/licenses/by-sa/3.0)], via Wikimedia Commons
Source: GitHub – rpremraj/mailR: A utility to send emails from the R programming environment
Shapefile Explorer is a simple utility to let you explore shape file (.shp) and their complements .dbf and .shx files.
Shapefile Explorer é um utilitário simples que permite que você explore o arquivo de forma (.shp) e seus arquivos .dbf e .shx de complementos.
Source: Shapefile Explorer on the Mac App Store
A DATA-DRIVEN APPROACH TO CRYPTOCURRENCY SPECULATION
How do Bitcoin markets behave? What are the causes of the sudden spikes and dips in cryptocurrency values?
Are the markets for different altcoins inseparably linked or largely independent?
How can we predict what will happen next?
Articles on cryptocurrencies, such as Bitcoin and Ethereum, are rife with speculation these days, with hundreds of self-proclaimed experts advocating for the trends that they expect to emerge.
What is lacking from many of these analyses is a strong foundation of data and statistics to backup the claims.
The goal of this article is to provide an easy introduction to cryptocurrency analysis using Python. We will walk through a simple Python script to retrieve, analyze, and visualize data on different cryptocurrencies. In the process, we will uncover an interesting trend in how these volatile markets behave, and how they are evolving.
by Patrick Triest
Source: Analyzing Cryptocurrency Markets Using Python
Remember, a ROC curve represents a relation between sensitivity (RECALL) and specificity(NOT PRECISION). Sensitivity is the other name for recall but specificity is not PRECISION.
Figure By kakau (Selbstgepinselt mit PowerPoint) [GFDL (http://www.gnu.org/copyleft/fdl.html) or CC-BY-SA-3.0 (http://creativecommons.org/licenses/by-sa/3.0/)], via Wikimedia Commons
Read more at (1) What is the difference between a ROC curve and a precision-recall curve? When should I use each? – Quora
Boostrap sampling tutorial using MS Excel
Source: Bootstrap Sampling Tutorial