Getting started with the Hortonworks Hadoop Sandbox
Using the Docker HDP image from Hortonworks, it is easy to spin up an Hadoop environment onto your machine.
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.
df = pd.concat([df.drop(['meta'], axis=1), df['meta'].apply(pd.Series)], axis=1)
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.
A simple instruction to create an API for an existing MongoDB database using Eve.
Recently I was playing with some code that generated big dictionaries and had to manipulate these dictonaries several times. I used to save them via Pythons pandas to CSV and load them back from the CSV the next time I was using my script. Luckily I found out an easier way to deal with saving and loading variables, namely by using Pickle.
import pickle
pickle.dump(variable, open(picklename, 'wb'))
pickle.load( open( picklename, "rb" ) )
A simple example on how to use Font Awesome for fancy select boxes.
A short description how to use D3.js in a Jupyter notebook.
In this post I will describe my initial version of my crypto app, an application where I will simply show some data of my experiments with crypto currencies. Data is handled by Python, put in MongoDB and displayed using ExpressJS and D3.js.