August 2018
Intermediate to advanced
332 pages
9h 12m
English
Content preview from Clean Code in Python
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Packages
A Python package is a convenient way to distribute software and reuse code in a more general way. Packages that have been built can be published to an artifact repository (such as an internal PyPi server for the company), from where it will be downloaded by the rest of the applications that require it.
The motivation behind this approach has many elements to it—it's about reusing code at large, and also achieving conceptual integrity.
Here, we discuss the basics of packaging a Python project that can be published in a repository. The default repository might be PyPi (https://pypi.org/), but also internal; or custom setups will work with the same basics.
We are going to simulate that we have created a small library, and we will use ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.