Viewing profile — 00ajcr

There's a Cython implementation (the .pyx file). The Cython code is compiled to C code (then that C code is compiled).

Less ambitious than where? I don't think UK people are inheritantly less ambitious than anywhere else, but the very low social mobility here has always dragged down potential for s…

My interpretation of the point in the blog post was that explicitly spelling out variable names makes APIs and the underlying code much more accessible to a wider audience. Sure, t…

Aside from significant whitespace (which I suppose takes a little getting used to), is there anything that marks out Python's syntax as particularly rigid compared to other languag…

To broadcast operations (such as addition) between arrays in NumPy, trailing dimensions have to be equal (or be of length 1). In the example given above the 3D array and 2D array h…

For fans of crime/detective novels, I would not hesitate to recommend 'The Chain of Chance'. Utterly gripping, fascinating, and a gateway to Lem's sci-fi works.

I think it's the `--skip-string-normalization` flag which means "Don't normalize string quotes or prefixes".

Surely the [sic] annotations are to indicate that the quotations are unchanged from the original source text, which contains somewhat archaic language and misspellings of words whe…

Philip Guo has an excellent set of video lectures on CPython internals, which includes an overview of parts of ceval.c: http://pgbovine.net/cpython-internals.htm

Useful tips and a nice skeleton! There's also a great guide to cleaning bones from animals (in various states of decay) on the blog Jake's Bones that I've referred to a couple of t…

I started writing a '100-pandas-puzzles' set of exercises here: https://github.com/ajcr/100-pandas-puzzles There's also pandas_exercises by Guilherme Samora ( https://github.com/gu…

There are some nice exercises here, good work. For question 48 it might be simpler to just write np.sort(a)[-5:] instead of using argsort() and then using fancy indexing. Better ye…

No! Never do this in Python. You are making the flattened list by continually concatenating the smaller lists. Each concatenation creates the new bigger list from scratch; the flat…