pandas – Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Pandas is on my research list. Some links to get started:
This is why I try to avoid doing web-development: [WayBack] Location, location: location = location … and a 534 other ways to reload the page with JavaScript.
Sometimes your Atom installation gets so unstable that the quickest solution is a reinstall. For that you need to get a list of user-installed packages, then re-install them.
On Windows your Atom Package Manager apm is here (but not in the path), where the first is version specific and the latter the most recent version:
Ah, C. The best lingua franca we have… because we have no other lingua francas. Linguae franca. Surgeons general? C is fairly old — 44 years, now! — and comes from a time when there were possibly more architectures than programming languages. It works well for what it is, and what it is is a relatively simple layer of indirection atop assembly. Alas, the popularity of C has led to a number of programming languages’ taking significant cues from its design, and parts of its design are… slightly questionable. I’ve gone through some common features that probably should’ve stayed in C and my justification for saying so. The features are listed in rough order from (I hope) least to most controversial. The idea is that C fans will give up when I call it “weakly typed” and not even get to the part where I rag on braces. Wait, crap, I gave it away.
First example is to eliminate outliers in the below graph.
He also has a really cool (German) Playlist on data analysis with Python called Datenanalyse in Python and has a great site with examples at franz.media.