In this series looking at features introduced by every version of Python 3, we continue our look at Python 3.9 by going through the notable changes in the standard library. These include concurrency improvements with changes to asyncio, concurrent.futures, and multiprocessing; networking features with enhancements to ipaddress, imaplib, and socket; and some additional OS features in os and pathlib.

In this series looking at features introduced by every version of Python 3, we continue our look at Python 3.8, examining changes to the standard library. These include some useful new functionality in functools, some new mathematical functions in math and statistics, some improvements for running servers on dual-stack hosts in asyncio and socket, and also a number of new features in typing.

In this series looking at features introduced by every version of Python 3, we complete our look at 3.7 by checking the changes in the standard library. These include three new modules, as well as changes across many other modules.

In this series looking at features introduced by every version of Python 3, we finish our look at the updates in Python 3.6. This third and final article looks at the updates to library modules in this release. These include some asyncio improvements, new enumeration types and some new options for use with sockets and SSL.

In this series looking at features introduced by every version of Python 3, this is the fourth looking at Python 3.5. In it we look at the major updates to the standard library which were made in this release. These include various Internet protocol module enhancements, some asyncio features, and some restrictions on regular expression syntax have been lifted.

In this series looking at features introduced by every version of Python 3, this one is the first of two covering release 3.4. We look at a universal install of the pip utility, improvements to handling codecs, and the addition of the asyncio and enum modules, among other things.

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.

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.