Iโ€™ve been thinking1 about having a blog for a long time and itโ€™s not the first time. As an example, in the about section of the website I have listed the links to some of the previous blogs that Iโ€™ve created in the past, the ones Iโ€™ve been playing with for some time, without giving too much continuity to the majority of them.

Enough!!

I said to myself.

I know of the potential benefits of having a blog, among other reasons as a support or aid to the self-study and thinking process. Reflecting on this Iโ€™ve come across a tweet with the link to a post on Medium by Rachel Thomas 2 in which she clearly explained the reasons why everyone should have a blog.

Having a blog and giving continuity to it gives rise to moments of reflection and facilitates putting ideas into writing, as well as having a space to come back again to recover what you left written down at some point before, something that you may need to review.

It took me a while to decide what to use and in the end I opted for Hugo (in the past I tried Jekyll and Pelican, especially the first one), although currently the ecosystem of static site generators is huge. Iโ€™ve recently tried other options like Gatsby, Hexo and blogdown, but for various reasons, mainly blog generation speed and simplicity, I have finally opted for Hugo. For the deployment of the generated code I had in mind to use Github Pages again, as in my previous blog, but I guess Iโ€™ll finally try Netlify and I think it will be a better option.

I am not sure if I will make the blog fully bilingual or only for certain entradas (sorry, posts), which may be only in Spanish or English. We will see. I do want to have a place to rest my notes on the books I read. In fact, I already have a few pending to include. This is also a topic that motivates me to have the blog. Reading technical topics is fine, but if you donโ€™t take a look at what youโ€™ve read, itโ€™s also easy to forget.

Footnotes

  1. Originally published in July 2021, when TheDataIsFlat.com was a regular blog site. โ†ฉ

  2. Rachel Thomas is co-founder of fast.ai, a place of reference for Deep Learning, as well as a professor at the USF Data Institute. โ†ฉ