"Dive Into Python 3 covers Python 3 and its differences from Python 2. Compared to Dive Into Python, it’s about 20% revised and 80% new material. I am publishing drafts online as I go. Please send feedback. The final version will be published on paper by Apress. The book will remain online under the CC-BY-SA-3.0 license."
At work the functional test suite of our application used up quite a lot of RAM (over 500 megs). For a long time it was cheaper to buy the developers an extra gig of RAM than to spend time hunting down a possible memory leak, but finally curiosity overcame me and I started investigating.
If you’d like to just get the executive summary, here it is: Please, for the love of Guido, stop using setuptools and easy_install, and use distutils and pip instead. If you’d like to know why, re
What design patterns are applicable to Python? Some patterns are an intrinsic part of Python, other patterns require some careful coding to get the best from them. What new patterns appear in Python?
Sometimes even good programmers at their first tries of Python use less than optimal solutions and language constructs. In the years Python has accumulated few redundancies and few warts (and some of them will be removed with Python 3.0), but it's a generally clean language still, so with a page like this you can avoid the most common ones. This page hopes to be really simple and short enough, you can find explanations online elsewhere.
"I found the Google translate is pretty cool. I would like to use it to translate some text from my computer in batch(in script). Do you know any way that I could use it easily from shell?" And here we go...
It’s true: web development, at its worst, is difficult, repetitive, and boring. The tools we have suck. At best, they make web development slightly less painful, but we’re a long way from making web development awesome.
Guido van Rossum blogs "a series of articles on the history of the Python programming language and its community" aside of his personal blog. Today: Python's Design Philosophy. (via dlat)
The Computer Language Benchmarks Game is a collection of 429 programs, consisting of 13 benchmark reimplemented across 33 programming languages. It is a fantastic resource if you are trying to compare programming languages quantitatively. Which, oddly, very few people seems to be interested in doing.
"I was reading David Cramer's tip to use JSONField in Django to be able to store arbitrary fields in a SQL database. Nice. But is it fast enough? Well, I can't answer that but I did look into the difference in read/write performance between simplejson, cPickle and marshal."
