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technologies that came into existence since the inception of the Internet. It's the core technology behind Bitcoin and other crypto-currencies that drew a lot of attention in the last few years. This blog post covers the core concepts behind blockchain and shows. INTERACTIVE DATA VISUALIZATION OF GEOSPATIAL DATA USING D3.JS, DC.JS, LEAFLET.JS AND PYTHON. In this tutorial, you will learn how to build an interactive data visualization using geospatial data. We will cover a wide range of technologies: Pandas for cleaning the data, Flask for building the server, Ja*ascript libraries d3.js, dc.js and crossfilter.js for using a de*p learning algorithm called convolutional neural network. This post is divided into 2 main parts. The first part covers some core concepts behind de*p learning, while the second part is structured in a hands-on tutorial format. We will use some Python code and a popular open source de*p learning framework called Caffe to build the clas*ifier. In this blog post, I will introduce the building blocks for creating a simple IoT application. To do this, I will use an Arduino microcontroller with a photocell (light intensity sensor), a node.js server for capturing and transferring the data, and a cloud service called plotly to visualise the data. By the end of this tutorial, we will have a functioning IoT application that you can customise to In this tutorial, I will combine Coursera course catalogue together with social media data to as*ess the popularity of courses. To to this, I will use the Coursera API to retrieve the course catalogue, I will use the sharecount.com API to get social media metrics for each course, and I will use python's pandas library to query and order the courses by popularity. The technique introduced in this tutorial can be leveraged to other use cases that require a popularity ranking system for measuring the relevance of a list of links. Step by step tutorial for building an interactive data visualization dashboard using a dataset from DonorsChoose.org. This tutorial