On to the second part of the series documenting the process of setting up this blog. This post will cover setting up GitHub pages and pushing your website, looking at options for customisation such as theme, and finally creating some batch files to streamline the process for adding a new post to the blog to avoid excessive use of terminal.

GitHub Pages and gbp-import¶

• If you don't already have one, create an account on GitHub
• Create a new repository with the name yoursite.github.io without creating a readme or .gitignore
• Return to terminal and install ghp-import using: pip install ghp-pages
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One of the themes for this term is algorithm optimisation, so I've been looking over industry standard sort and search algorithms, ever trying to minimise the 'Big O'. A classmate shared these sort visualisations by morolin, which really help to visualise the differences in efficiency between the algorithms. While these visualisations were created in Golang, they have since been translated in to Python by Kirk Kaiser.

Let's face it, writing code to sort a list isn't particularly interesting, so I wanted to see if I could impliment and visualise my own sort algorithm(s). The next step of course, was to see if similar visualisations could be created to demonstrate search algorithms..

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Word on the town, getting in the habit of documenting your work with Jupyter notebooks is great practise. Jupyter notebooks allow you to create and share documents containing code and rich text, to demonstrate your workflows and visualisations. On a more personal level, it gives you some freedom to be forgetful and know you'll always have an easy repository to remember how you tackled a problem in the past.

The next logical step is how can I use these files to generate content for a blog, without having to reformat and convert any visualisations in to static images? And Pelican it seems, is the answer.

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