Tall, Snarky Canadian 11 Feb 2016 18 min read Python # How the heck does async/await work in Python 3.5? Being a core developer of Python has made me want to understand how the language generally works. I realize there will always be obscure corners where I don't know every intricate detail, but to be able to help with issues and the general design of Python I feel like I should try and understand its core semantics and how things work under the hood. But until recently I didn't understand how async/awa
Linting isn't just for style checking, it's also a powerful tool for finding defects in a code-base. Tagged with python, lint, flake8, bug
ironic-python-agent - A Python agent for provisioning and deprovisioning Bare Metal servers
Site Blog Post Understanding Monads Via Python List Comprehensions by Luke Plant Posted in: — July 26, 2006 21:59 2017 update - I think this article doesn't really get to the point regarding Monads. Specifically, I don't think it goes beyond Functor. You are probably best looking somewhere else. An attempt to explain monads and their usefulness in Haskell, assuming only some simple knowledge of Python. List comprehensions are a great Python feature that have been borrowed from Haskell/ML, and ultimately
Python has the useful notion of descriptor objects, which give object attributes control over how they are accessed. Descriptors enable calculated-on-the-fly attribute values and can prevent or control modification of data values. The previous post covered the basics. In this post, I'll dig deeper into Python descriptors with some more involved examples. This post assumes
Last Updated: 2024–10-11 Background At Datavolo, we take pride in creating simple solutions to complex problems. Datavolo runtimes not only offer a multitude of included processors , but allow users the flexibility to create custom processors. This extensibility ensures Datavolo can handle any requirement you may have. Therefore, if your project exceeds the built-in capabilities, we made creating your own processors in Python a simple task. Note: In general, we recommend you ensure there is not an
# python tl;dr : Consider optimizing uwsgi by setting `threads-stacksize = 64` or some small value in your uwsgi config. Python apps which do not use many C modules do not use the C stack very much. A smaller stack size mean threads use less memory and you can safely have more of them servicing requests. Long story: Years ago I was deploying a new flask web service using uwsgi. I needed it to scale to thousands of connections. I read a blog post (I searched and cannot find it now) which suggested 10 proc
Guido van Rossum guido at python.org Wed Nov 20 17:09:52 CET 2013 On Wed, Nov 20, 2013 at 6:01 AM, Ethan Furman < ethan at stoneleaf.us > wrote: > On 11/20/2013 04:25 AM, Garth Bushell wrote: > >> >> I'm also quite uneasy on the case insensitive comparison on Windows as >> the File system NTFS is case sensitive. >> > > No, it's case-preserving. > It's quite possible that you are both right -- possibly the filesystem driver supports foo and FOO in the same directory but the kernel I/O layer prohibits that
Randy Olson shows how you can create your own traveling salesman portrait using Python
Python 3.15 lands lazy imports, a frozendict builtin, unpacking in comprehensions, and the Tachyon sampling profiler. Here's what changed and what to test