Concurrent Processing In Pelican
Pelican’s performance in rendering large blogs can be accelerated by transforming articles to HTML in parallel. For Markdown and restructured text (reST) I provide numbers and sample code here.
To explore the timings we need rather extensive samples of texts. On github we find a repository of German law ...
more ...New Exception Hierarchy In Python 3.3+
Working with the new stable version of Python 3.3, I stumbled upon the new exception hierarchy. Specifically, I was working on some file-related routines and found in the release notes, that for this domain a new set of exceptions is introduced and that IOError is now OSError.
Things are ...
more ...Copying Data Structures Quirks
Note
TL;DR — Copying fails if a value is an iterator.
To create a duplicate of a data structure, Python provides methods copy() and deepcopy(). Lately, I wanted to duplicate a nested structure with deepcopy() and encountered following issue:
TypeError: object.__new__(dict_keys) is not safe, use dict_keys.__new__()
And ...
more ...High Performance Python: Profiling
Note
This article is part of an ongoing series about profiling Python programs that starts here [4].
Note
This text is a draft and may be subject to changes.
There are two things we can profile, execution time and memory consumption.
Profiling Execution Time, Part I
From the Linux command ...