Data stored in a csv file can often contain JSON objects in one of the fields. The csv data can easily be loaded into a Pandas Dataframe for analysis. Fields of interest in the JSON object can also be extracted into their own column easily using Dataframe.Apply.
Read More

A lot of time was spent in 2020 looking at daily covid numbers, which was getting overwhelming. Having taken a break for a while, this article combines covid data and vaccination data with population data to present a view of the countries with the highest deaths from Covid-19 and the vaccination status in the country.
Read More

There is a filter method on Pandas DataFrame, but it is limited to only filtering on the labels on the index columns. There are multiple ways to filter a DataFrame to focus on the information required. This article demonstrates a number of ways to filter data in a DataFrame.
Read More

ipywidgets are interactive HTML elements that can be used in Jupyter Notebooks to interact with outputs such as tables and charts. This article briefly introduces ipywidgets and uses them to change the rolling day period in a chart for the rolling average of deaths from covid-19.
Read More

We came across the water pouring puzzle again recently and there was some discussion on where to start and explain how to slove it. The specific puzzle we came across was given two containers of sizes 7 and 4 litres, measure out a volume of water that is exactly 5 litres. A tap is available to refill the containers and …
Read More

Three dimensional objects are not easy to represent on a 2D surface such as a page or screen. In this article, inspired by chapter 3 of Math for Programmers book, we look at the cross product of two 3D-vectors and representing the surface of any 3D object as a collection of triangles. The cross product can be used to …
Read More

Compressing multiple files into one archive file allows for faster files transfer. Image files in the form of jpg are already compressed and compressing them into zip files does not significantly reduce the file size further. However, it does reduce the number files to one archive file and this makes file transfer …
Read More

The world around is in three dimensions, yet it is not as easy to represent on a 2D surface such as a page or screen. This article, inspired by chapter 3 of Math for Programmers book, looks at presenting 3D vectors with Matplotlib. It also shows how to calculate the length of 3D-vectors and explores the dot product of …
Read More

A vector has magnitude and direction. A single point in 2D space can be considered a vector from the origin (0,0) to that point. Vectors can be described anywhere in 2D space using a point for the start and a point for the end. Multiple vectors can be connected together to create 2D shapes. This article will discuss …
Read More

This is the first article on my notes from reading Math for Programmers. It looks at representing 2D vectors graphically with Matplotlib and visualising vector arithmetic.
Read More