Installing numpy and scipy is easy; unfortunately, both packages depend on other softwares which themselves can be tricky to install, or are often distributed with bugs by major distributions. Hopefully, you can install numpy and scipy without any softwar
When a web application receives more requests than it can handle over a short period of time, it can become unresponsive. In the worst case, too many concurrent requests to a web application can cause the software which services the application to crash.
In an earlier post Over on the Twisted blog, Duncan McGreggor has asked us to expand a bit on where we think Twisted may be lacking in it’s support for concurrency. I’m afraid this has turned into a meandering essay, since I needed to reference so muc
ScientificPython is a collection of Python modules that are useful for scientific computing. In this collection you will find modules that cover basic geometry (vectors, tensors, transformations, vector and tensor fields), quaternions, automatic derivativ
This library provides Python functions for agglomerative clustering. Its features include * generating hierarchical clusters from distance matrices * computing distance matrices from observation vectors * computing statistics on clusters *
Hotwire is an object-oriented hypershell. It is a shell designed for systems programming (files, processes), and thus it is in the same conceptual category of software as the Unix shell+terminal and Windows PowerShell.
SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It is also the name of a very popular conference on scientific programming with Python. The SciPy library depends on NumPy, which provides convenient and fast
Sajax is an open source tool to make programming websites using the Ajax framework — also known as XMLHTTPRequest or remote scripting — as easy as possible. Sajax makes it easy to call PHP, Perl or Python functions from your webpages via JavaScript without performing a browser refresh. The toolkit does 99% of the work for you so you have no excuse to not use it.
latex.py Character translation utilities for LaTeX-formatted text. Usage: - unicode(string,'latex') - ustring.decode('latex') are both available just by letting "import latex" find this file. - unicode(string,'latex+latin1') - ustring.decode('latex+latin1') where latin1 can be replaced by any other known encoding, also become available by calling latex.register(). We also make public a dictionary latex_equivalents, mapping ord(unicode char) to LaTeX code. D. Eppstein, October 2003. source: http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/252124 License: Python license (http://python.org/doc/Copyright.html) modified for mab2bib 2005/2006 by Henning Hraban Ramm
"We have 69 series for learning Python. You will learn more by joining Club ShowMeDo. With the Club you save time and stay up-to-date with the latest skills as we've done the research for you."
VIM's default configuration for Python sucks! If you have used VIM to write Python code, you probably know this very well. It does not align to parentheses and braces.
Spray is a build tool helping you in configuring, building and installing your project It is similar in purpose to the autotools or CMake but created following the spirit of SCons and waf using the Python programming language.
"PownceFS is a Fuse filesystem that mounts your friends’ files from Pownce as a local filesystem. Given a mountpoint, it fakes a directory for each of your friends and puts all the files they’ve uploaded inside. "
NLTK — the Natural Language Toolkit — is a suite of open source Python modules, data and documentation for research and development in natural language processing. NLTK contains Code supporting dozens of NLP tasks, along with 40 popular Corpora and extensive Documentation including a 375-page online Book. Distributions for Windows, Mac OSX and Linux are available.
Monte (python) is a Python framework for building gradient based learning machines, like neural networks, conditional random fields, logistic regression, etc.
Pyro stands for Python Robotics. The goal of the project is to provide a programming environment for easily exploring advanced topics in artificial intelligence and robotics without having to worry about the low-level details of the underlying hardware.
Vim reStructured Text
Author: Mikolaj Machowski
Title: Vim reStructured Text - HTML and LaTeX output
Keywords: Vim, LaTeX, PDF, HTML, XML
Version: 1.4
License: GPL v. 2
Date: 4 Nov 2006
For a long time Vim users were asking for "real" export to HTML. This is, I believe, first real try to achieve this effect. This is Vim version of reStructuredText, popular Python language documentation tool (so I borrowed parts of its documentation).
NLTK — the Natural Language Toolkit — is a suite of open source Python modules, data and documentation for research and development in natural language processing. NLTK contains Code supporting dozens of NLP tasks, along with 40 popular Corpora and extensive Documentation including a 375-page online Book. Distributions for Windows, Mac OSX and Linux are available.
ajaxWM is a window manager in a web browser, a terminal emulator and an SSH proxy. It allows remote controlling a computer even when there is a firewall and packet analyzer between, blocking everything else than HTTP(S)-connections. Because the ajaxWM client runs in any javascript-capable web browser, you can even use it when you are not allowed to install any software, for example in an internet café, at school, or at work.
Instant is a Python module that allows for instant inlining of C and C++ code in Python. It is a small Python module built on top of SWIG and Distutils.
Cinpy is a Python library that allows you to implement functions with C in Python modules. Inlined C code is compiled with tcc (Tiny C Compiler) at runtime. The results are made callable in Python with ctypes library.
The Boost Graph Library Python bindings (which we refer to as "BGL-Python") expose the functionality of the Boost Graph Library and Parallel Boost Graph Library as a Python package, allowing one to perform computation-intensive tasks on graphs (or network
E. Berger, S. Stern, und J. Pizzorno. 17th USENIX Symposium on Operating Systems Design and Implementation (OSDI 23), Boston, MA, USENIX Association, (Juli 2023)
R. Okuta, Y. Unno, D. Nishino, S. Hido, und C. Loomis. Proceedings of Workshop on Machine Learning Systems (LearningSys) in The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS), (2017)
K. Rivers, E. Harpstead, und K. Koedinger. Proceedings of the 2016 ACM Conference on International Computing Education Research, Seite 143--151. New York, NY, USA, ACM, (2016)