In this, my fifth article on the Go programming language, I’m looking at the build and packaging process, and other tooling. I’ll start by looking at how code is structured into packages, and then look at the tools for building, packaging and testing.

Rust is fairly new multi-paradigm system programming language that claims to offer both high performance and strong safety guarantees, particularly around concurrency and memory allocation. As I play with the language a little, I’m using this series of blog posts to discuss some of its more unique features as I come across them. In this one I’m looking at Cargo, Rust’s build and packaging system.

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.

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.