I recently spotted that Python 3.5 has added yet more features to make coroutines more straightforward to implement and use. Since I’m well behind the curve I thought I’d bring myself back up to date over a series of blog posts, each going over some functionality added in successive Python versions — this one covers more of the asyncio module that was added in Python 3.4.
This is the 3rd of the 4 articles that currently make up the “State of Python Coroutines” series, the first of which was The State of Python Coroutines: yield from. This article was preceded by The State of Python Coroutines: Introducing asyncio.
I recently spotted that Python 3.5 has added yet more features to make coroutines more straightforward to implement and use. Since I’m well behind the curve I thought I’d bring myself back up to date over a series of blog posts, each going over some functionality added in successive Python versions — this one covers parts of the asyncio module that was added in Python 3.4.
This is the 2nd of the 4 articles that currently make up the “State of Python Coroutines” series, the first of which was The State of Python Coroutines: yield from.
I recently spotted that Python 3.5 has added yet more features to make coroutines more straightforward to implement and use. Since I’m well behind the curve I thought I’d bring myself back up to date over a series of blog posts, each going over some functionality added in successive Python versions — this one covers the facilities up to and including the yield from syntax added in Python 3.3.
This is the 1st of the 4 articles that currently make up the “State of Python Coroutines” series.
Time zones can be tricky beasts, particularly where daylight savings time is concerned. This post discusses issues around apply them to something like the ubiquitous Unix cron daemon.
There are few technical topics about which there’s more FUD than picking a strong password.
I recently had to do a few not-quite-trivial things with the Jinja2 templating engine, and the more I use it the more I like it.
Python’s behaviour with regards to destructors can be a little surprising in some cases.
Python’s simple scoping rules occasionally hide some surprising behaviour.
It’s possible to manage multiple subprocesses in Python, but there are a few gotchas.
