I have a dataframe of URLs to datasets available from the PxStat database of the Central Statistics Office (CSO). The URLs follow the same format. The dataset code can be extracted using string partitioning.

A place to keep some reference notes on various topics for now including Jupyter notebooks, Python magic functions, Markdown, working with files etc.

In this post I am following the tutorials and guides on hosting Flask apps on Linode.com

A link to an example Flask app on https://github.com/abalarin is provided or you can use your own when following the guide. I used the example Flask app by Austin Balarin who also has a very helpful guide for …

Dash is a web framework that allows interactive data dashboards and web apps to be developed using pure Python without having to worry about JavaScript.

Dash uses Flask for the backend and Plotly for producing plots. It also uses React.

Looking at uses of open data such as that available through the Irish open data portal at https://data.gov.ie which can be mined and processed.

I have been using the CKAN API’s for retrieving the lists of datasets available on the Irish open data portal at https://data.gov.ie. There are over …

Following the Minimal end-to-end example of creating a nbdev project from scratch.

While exploring other options for easily converting Jupyter notebooks along with pandas DataFrame tables to markdown, I came across nbdev which is used to create delightful python projects using Jupyter Notebooks.

nbdev is a system for exploratory programming. It is a library created by the fast.ai …

Page bundles are a way to group page resources. I refer to page bundles documentation at https://gohugo.io.

When printing a DataFrame table in a markdown file that was converted from a Jupyter notebook using nbconvert, the table data may not be displayed as it is raw HTML.

Instead of allowing all raw html to be displayed which may open up a security risk you can instead surround the code with a shortcode …

Finding all files in a folder modified on a specific date using find and grep commands.