Another experiment: using the progressive JavaScript Framework Vue.js in a Jupyter notebook.

In my previous posts I have already shown simple examples of using MapReduce and Spark with Pyspark. A missing piece moving from MapReduce to Spark is the usage of Pig scripts. This posts shows an example howto use a Pig script.

This is a short explanation on how to setup a Truffle decentralized app using Docker containers.

Last time I started to experiment with Hadoop and simple scripts using MapReduce and Pig on a Cloudera Docker container. Now lets start playing with Spark, since this is the goto language for machine learning on Hadoop.

This post describes my first experiment with the Cloudera environment by trying to use the basic MapReduce method on a simple dataset.

Using the Docker HDP image from Hortonworks, it is easy to spin up an Hadoop environment onto your machine.

This post is a short explanation on how to get up and running with Docker and Anaconda.

This notebook makes use of the Scrapy library to scrape data from a website. Following the basic example, we create a QuotesSpider and call the CrawlerProcess with this spider to retrieve quotes from http://quotes.toscrape.com.

In this project I am experimenting with sending data between Javascript and Python using the web framework Flask. Additionally I will use matplotlib to generate a dynamic graph based on the provided user input data.