Plurrrr

A month ago I blogged about ways to reduce strenuous key presses in my Emacs use. I analyzed my runs of chords in Emacs, then speculated on the merits of exclusive vs mixed editing. Since then I wrote an Emacs mode called god-mode. It’s a mode that you toggle in and out of, and when you’re in it, all keys are implicitly prefixed with C- (among other helpful shortcuts). Over all, it’s been a resounding success. A couple other people, including the author of multiple mark mode, contributed some patches. I’ve been using it for a month and have been very satisfied.

Then Brad Westfall reminded me of a Sass feature that, while small, is probably the one I miss the most every single time I write vanilla CSS: single line // comments.

Before you can process your data with Pandas, you need to load it (from disk or remote storage). There are plenty of data formats supported by Pandas, from CSV, to JSON, to Parquet, and many others as well.

Which should you use?

• You don’t want loading the data to be slow, or use lots of memory: that’s pure overhead. Ideally you’d want a file format that’s fast, efficient, small, and broadly supported.
• You also want to make sure the loaded data has all the right types: numeric types, datetimes, and so on. Some data formats do a better job at this than others.

While there is no one true answer that works for everyone, this article will try to help you narrow down the field and make an informed decision.