12 Feb 2019
Jupyter Notebook is a powerful tool, but how can you use it in all its glory on a server? In this tutorial you will see how to set up Jupyter notebook on a server like Digital Ocean, AWS or most other hosting provider available. Additionally, you will see how to use Jupyter notebooks over SSH tunneling or SSL with with Let’s Encrypt.
02 Feb 2019
Are you working with Jupyter Notebook and Python? Do you also want to benefit from virtual environments? In this tutorial you will see how to do just that with Anaconda or Virtualenv/venv.
23 Jan 2019
Say you have an external hard drive with layers upon layers of cryptically named folders and intricate mazes of directories (like here, or here). How can you make sense of this mess? Python offers various tools in the Python standard library to deal with your file system and the folderstats module can be of additional help to gain insights into your file system.
07 Jan 2019
The Python standard library offers a powerful set of tools out of the box including file system handling. In this quick little article you’ll see a couple of useful recipes to compare files and directories with the filecmp module.
24 Nov 2018
This is a quick little overview on how to use pickle and JSON for object serialization in Python with the Python standard library.
30 Oct 2018
This quick little tutorial shows how to setup a simple local testing server with Python.
19 Oct 2018
This is a quick little guide on how to run a Python script in the background in Linux.
04 Aug 2018
In this short article we will take a quick look on how to use Keras with the familiar Iris data set. We will compare networks with the regular Dense layer with different number of nodes and we will employ a Softmax activation function and the Adam optimizer.
01 Aug 2018
In this article, we will be going through building queries for Wikidata with Python and SPARQL by taking a look where mayors in Europe are born. This tutorial is building up the knowledge to collect the data responsible for this interactive visualization from the header image which was done with deck.gl.
05 Jun 2018
There are many ways to compare countries and cities and many measurements to choose from. We can see how they perform economically, or how their demographics differ, but what if we take a look at data available in OpenStreetMap? In this article, we explore just that with the help of a procedure called t-SNE.
Installing and Running Jupyter on a Server
Using Virtual Environments in Jupyter Notebook and Python
Analyzing Your File System and Folder Structures with Python
File and Directory Comparisons with Python
Object Serialization with Pickle and JSON in Python
Local Testing Server with Python
Running a Python Script in the Background
Classifying the Iris Data Set with Keras
Where do Mayors Come From: Querying Wikidata with Python and SPARQL
Compare Countries and Cities with OpenStreetMap and t-SNE