Posted by Jack McKew on Fri 24 January 2020 in Python • Tagged with python, visualisation, generative • 21 min read
Generating & Visualising 3D Terrains in Python
Today, let's put together a 3D visualisation of randomly generated 'terrain' with Python. Data visualisation is an absolutely key skill in any developers pocket, as communicating both data, analysis and more is thoroughly simplified through the use of graphs. While a picture tells a …
Posted by Jack McKew on Wed 15 January 2020 in Python • Tagged with python, visualisation • 6 min read
Pandas for geospatial data
Personally whenever I am faced with a problem that involves analysing geospatial data, GeoPandas is the first tool/package I reach for. Extending on the Pandas dataframe data structure, GeoPandas brings functionality for working with points, polygons and more out of the box. This post is …
Posted by Jack McKew on Fri 20 December 2019 in Software Development • Tagged with python • 5 min read
For some time now I have been wanting to move away from Wordpress, due to my specific case of wanting to embed custom HTML and JavaScript code snippets to enable interactive data visualisation. Furthermore my previous workflow of posts was disjointed in which I would develop the code in a …
Posted by Jack McKew on Fri 08 November 2019 in Software Development • Tagged with python • 1 min read
Following on from last week's post on making executable GUIs with Gooey, this post will cover how to make the executables we have packaged up into installable files so our users can run them easily.
Once we have created the executable file for our GUI (which will be located in …
Posted by Jack McKew on Fri 01 November 2019 in Python • Tagged with python • 4 min read
Today we will go through how to go from a python script to packaged executable with a guided user interface (GUI) for users. First off we still start by writing the scripts that we would like to share with others to be able to use, especially for users that may …
Posted by Jack McKew on Sat 12 October 2019 in Machine Learning • Tagged with machinelearning, ai, python • 3 min read
Chapter 3 is focusing in on classification systems. As brought up earlier, most common supervised machine learning tasks are regression (predicting values) and classification (predicting classes). This chapter goes through the 'Hello World' of classification tasks, the MNIST dataset. The MNIST dataset is a set of 70,000 images of …
Posted by Jack McKew on Fri 04 October 2019 in Python • Tagged with python, pyglet • 3 min read
Recently, I've been researching ways that I could run a 2D simulation (and hopefully 3D) with many moving pieces and there was a desire to make it interactive as well. I stumbled through many visualisation frameworks such as:
Eventually, through the motivation of …
Posted by Jack McKew on Fri 20 September 2019 in Python • Tagged with python, pytest, pipenv • 2 min read
Unit tests in general are good practice within software development, they are typically automated tests written to ensure that a function or section of a program (a.k.a the 'unit') meets its design and behaves as intended.
This post won't go into testing structures for complex applications, but rather …
Posted by Jack McKew on Fri 13 September 2019 in Python • Tagged with python • 2 min read
As Python is a high level, general purpose programming language, which supports users to define their own types using classes, which are most often following the concept of object-oriented programming. Object-oriented programming is a type of software design in which users not only define the data type (eg, int) of …
Posted by Jack McKew on Fri 06 September 2019 in Python • Tagged with python • 3 min read
A 'dunder' (double underscores) in Python (also known as a magic method) are the functions within classes having two prefix and suffix underscores in the function name. These are normally used for operator overloading (eg, __init__, __add__, __len__, __repr__, etc). For this post we will build a customized class for …