Python on Adventures in Why

Eglot+Tree-Sitter in Emacs 29

bob@ConvexAnalytics.com (Bob Wilson) — Mon, 20 Feb 2023 00:00:00 +0000

I’ve been an Emacs user for about 15 years, and for the most part I use Emacs for org-mode and python development. I’ve happily used Jorgen Schäfer’s elpy as the core of my python development workflow for the last 5 years or so, and I’ve been happy with it. Unfortunately the current maintainer, Gaby Launay, hasn’t had time to work on elpy for over a year now. In one sense this doesn’t matter: elpy is pretty stable; it’s open source so it can’t just disappear on me; and I feel comfortable making minor changes myself.

Edgeworth Series in Python

bob@ConvexAnalytics.com (Bob Wilson) — Sun, 12 Sep 2021 00:00:00 +0000

We often use distributions that can be reasonably approximated as Gaussian, typically due to the Central Limit Theorem. When the sample size is large (and the tails of the distribution are reasonable), the approximation is really good and there’s no point worrying about it. But with modest sample sizes, or if the underlying distribution is heavily skewed, the approximation may not be good enough.

2020: My Year in Emacs

bob@ConvexAnalytics.com (Bob Wilson) — Fri, 01 Jan 2021 00:00:00 +0000

Other than the very fabric of society being torn apart, and other than the silver lining of getting to spend so much time with my wife and 2 year old daughter, the big theme of 2020 for me personally was Emacs.