Changes to blog + R -> Python

I’ve been regularly trying to write blog posts to keep track of and fully understand what I’ve learned in my free time. However, I’ve realized that I already have my paper notebooks for that, and a lot of time spent on posts was focused on typing LaTeX equations and formatting.

I would also like to shift towards sharing shorter tips and insights that I've learned by working on projects. I think that posts were too formal as well; I would like posts to be more casual in the future.

Currently, I mainly work with R because it’s how I learned time series forecasting from the excellent book Forecasting: Principles and Practice (opens in a new tab) (R. Hyndman and G.Athanasopoulos). I appreciate R for its built-in statistical tools and the great documentation capabilities of R Quarto.

However, I’ve come to realize that for larger datasets, I need to move to Python for better performance. I’ve also discovered some cool Python libraries that offer excellent support for time series analysis, which I plan to check out:

• NIXTLA - StatsForecast (opens in a new tab)
• Darts (opens in a new tab)
• skforecast (opens in a new tab)

I’m also trying to learn machine learning for forecasting since it performs exceptionally well and aligns with what I’m studying in school as well as industry standards.