🌌 "Cheers to a new year and another chance for us to get it right." - Oprah Winfrey
🌍 Content to check out
I love Jupyter Notebooks and often swap between Jupyter and Google Colab when running Python scripts. I personally prefer to use Jupyter Notebooks when working with data that is saved locally and it’s a really nice environment to use. This tutorial from JC Chouinard will take you through the steps of installing and using a Jupyter Notebook.
Free Code Camp never fail to create useful (and free) coding resources, and this complete Python course for beginners is a great way to get started learning Python, for free. The course is designed to give you a full introduction into all of the core concepts in python, did I mention that it was free.
Two of my amazing colleagues, Jamie Indigo and Rachel Anderson, have put together this super insightful and useful guide to Lighthouse Performance Metrics, fully updated to include the newest metrics and performance score, as well as how to measure and improve them for your site.
This two step project from Daniel Heredia is great for any dynamic websites with regularly updated sitemaps, as it includes using a Python request to ask Google to crawl a sitemap. It even includes instructions on how to schedule the Python script to run whenever you want it to.
My favourite SEO podcast covering imposter syndrome within the SEO industry = everything I need and more. In this episode Hannah and Sarah discuss why imposter syndrome is common in the SEO industry, share their personal experiences and share practical tips for dealing with it.
This is a suuuper important conversation that I’m glad is being had amongst the SEO industry too. With machine learning algorithms being used a lot more within search, understanding how bias is present in models is more important now than ever. It’s pretty simple, biased training data can produce biased language models - this article explains this and much more.
✨ More cool-ness
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