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.

The second of my two articles covering features added in Python 3.3, this one talks about a large number of changes to the standard library, especially in network and OS modules. I also discuss implicit namespace packages, which are a bit niche but can be useful for maintaining large families of packages.

The fourth Python 3.x release brought another slew of great new features. So many, in fact, that I’ve split this release into two articles, of which this is the first. Highlights in this part include yield from expressions, mocking support in unittest and virtualenv suppport in the standard library.

Another installment in my look at all the new features added to Python in each 3.x release, this one covering 3.2. There’s a lot covered including the argparse module, support for futures, changes to the GIL implementation, SNI support in SSL/TLS, and much more besides. This is my longest article ever by far! If you’re puzzled why I’m looking at releases that are years old, check out the first post in the series.

This article continues to series looking at features added in each release of Python 3.x, with this one covering the move from 3.0 to 3.1. It includes the new contains OrderedDict and Counter, making modules executable as scripts, and marking unit tests as known failures. If you’re puzzled why I’m looking at releases that are years old, check out the first post in the series.

I was slow to make the transition from Python 2 to 3 in the first place, and I never felt like I kept up properly with the new features. So I’m going to aim to do a series of articles looking at a different Python version in each and go through the new features added and catch myself up properly. This one addresses features added in Python 3.0 beyond those already in 2.6, including Unicode by default, type annotations, and exception chaining.

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 additional syntax that was added in Python 3.5.

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.

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.