2034 private links
Daemonize and scale your Python apps
Core utilities for Python packages. Contribute to pypa/packaging development by creating an account on GitHub.
The Python implementation of JavaScript Library RoughViz to create interactive sketchy charts - charlesdong1991/py-roughviz
One problem I was facing when building GNES: Generic Neural Elastic Search is how to effectively control the dependencies in Python. The main dependen ... · Han Xiao
A public service announcement about the dangers of utcnow and utcfromtimestamp and the benefits of using their replacements.
Un petit morceau de code efficient pour vérifier si la version de python qui tourne est PyPy.
Jeu-vidéo où l'action ne peut se faire que lorsque les yeux sont fermés. Pour simuler l'aveuglement.
Speaker: Mahmoud Hashemi If you had to build a software application right now, how would you do it? First step, Python. But then what? This talk looks at ove...
A story
Dive into CPython internals, trying to illustrate every detail of CPython implementation | CPython 源码阅读笔记, 多图展示底层实现细节 - zpoint/CPython-Internals
Un bon guide sur AST.
Common GOF Patterns implemented in Python. Contribute to Sean-Bradley/Design-Patterns-In-Python development by creating an account on GitHub.
Outch !
You’ve run your batch process with your scientific model, and after hours and hours it spit out a result. And the result is wrong. You suspect there’s a bug in the calculation, you’re not sure what it is, and the slow feedback cycle is making debugging even harder. Wouldn’t it be great if you could debug and speed up your program without having to spend days running it just to reproduce your problem? Now, I’m not a scientist, I’m a software engineer. But I did spend a year and a half working on scientific computing, and based on that experience I’d like to offer a potential solution to this cluster of problems: logging, and in particular a logging library I and my coworkers found very helpful. But before I get to the solution, it’s worth considering where these problems come from: the specific characteristics of scientific computing.
Introduction The first thing we have to understand while dealing with constraint programming is that the way of thinking is very different from our usual way of thinking when we sit down to write code. Constraint programming is an example of the declarative programming paradigm, as opposed to the usual
The essentials of effective use of the debugger
