Year in Review: Blogposts

I suppose it’s traditional to do a few year-in-review posts. It’s also always nice to have a bit of time to take the long view.

During 2013, this blog had over 40k reads; I only started blogging in May (here’s the first post), so I’m pretty happy with that number

It’s also traditional to have a look at the most read posts of the past year on your blog; so here’s my top 7.

1. The single most read post on the blog was Building Machine Learning Systems with Python which talked about my (then upcoming, now published) book. It got 18k reads.

2. At just under 6.6k reads, we have a defense of Python against Matlab: Why Python is Better than Matlab for Scientific Software.

3. With 3.1k reads, Python “lists” are not lists. A history

4. Finally, at number four and 0.8k reads, we get to sciency things: How Long Does Plos One Take to Accept A Paper? (see also the follow up, which includes all PLoS journals). However, while the first 2 went viral at one point, then interest died away, this seems to still be read every day.

5. A few interesting statistical facts was one of my first posts and I still like it. Maybe I should have called these controversial which is a stupid word to use in this context (surprising, interesting, cool, unintuitive), but apparently gets you more readers.

6. Segmenting Images In Parallel With Python & Jug was a tutorial on using mahotas and jug.

7. Finally, at number seven, a tongue-in-cheek reflection on the economics of science: Science is a Third-world Economy (tl;dr because people are cheap and things are expensive).


Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )


Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.