Three Ways to get most of your CSV in Python

One of the crucial tasks when working with data is to load data properly. The common way the data is formated is CSV, which comes in different flavors and varying difficulties to parse. This article shows three common approaches in Python.

Working with Time and Time Zones in Python

Time conversions can be tedious, but Python offers some relief for the frustration. Here are some quick recipes which are quite useful when juggling with time.

Videos and GIFs with Three.js

Three.js is a powerful JavaScript library to create 3D computer graphics on the browser using WebGL. Here we’ll see how to create animations and videos from Three.js demos.

Understanding the Covariance Matrix

This article is showing a geometric and intuitive explanation of the covariance matrix and the way it describes the shape of a data set. We will describe the geometric relationship of the covariance matrix with the use of linear transformations and eigen decomposition.

Creating Instagram Videos from Images

Uploading Videos in Instagram is tricky, not every format is supported and the format needs to fulfil some video specifications. Here we get into the recipe for creating a proper video for instagram from a sequence of images.

Anaconda Snippets

Here is a short collection of commands and solutions for Anaconda with Python that I frequently tend to use.

Running Blender from the Command Line

Blender is a very powerful professional open source 3D modelling software for 3D graphics and animation among many other tools. Many things in Blender can be automated with Python and I often use Blender directly from the command line with Python scripts. Here are some quick commands and snippets that I frequently use.

Jekyll Snippets

Some quick solutions when using Jekyll to generate static sites.

Creating GIFs in the Command Line

Some quick tipps on creating GIFs in the command line.

Filtering and Converting ESRI Shapefiles to GeoJSON

In this example I used the data from Natural Earth and I wanted to extract specific countries from the “Admin 1 – States, Provinces” data set and convert the ESRI shapefile to GeoJSON.