As of time of writing, the latest version of git is 2.28.0, and it supports a total of 4 diff algorithms, namely myers, minimal, patience, and histogram. In the following sections, I give my take on when each of these algorithms should be used. This post does not cover a breakdown of how the algorithm works, and/or its complexity – you can find these via a quick search.
Source: When to Use Each of the Git Diff Algorithms, an article by Lup Peng.
While Go does not have macros or other forms of metaprogramming, it's a pragmatic language and it embraces code generation with support in the official toolchain.
The
go generatecommand has been introduced all the way back in Go 1.4, and since then has been widely used in the Go ecosystem. The Go project itself relies ongo generatein dozens of places; I'll do a quick overview of these use cases later on in the post.
Source: A comprehensive guide to go generate, an article by Eli Bendersky.
This article explains the new features in Python 3.10, compared to 3.9.
Source: What’s New In Python 3.10.
What follows is a quick walkthrough of getting a recommendation engine setup directly inside Postgres on top of Crunchy Bridge, our database as a service.
Source: Building a recommendation engine inside Postgres with Python and Pandas, an article by Craig Kerstiens.
Pants has industry-leading support for Python builds - covering steps such as resolving 3rd-party dependencies, running tests, generating code, running formatters and linters, packaging python executables, building Docker images, and more.
One important build step that Pants has supported for a long time is building Python package distributions, namely sdists and wheels.
We just cut the first release candidate for Pants 2.8, so this is a good time to talk about the significant enhancements to its distribution-building capabilities, including support for native extensions and for PEP-517.
Source: Pants supports PEP 517, an article by Benjy Weinberger.