Python Module of the Week - Python Module of the Week. PyPI - the Python Package Index. The Python Standard Library — Python v2.7.5 documentation. While The Python Language Reference describes the exact syntax and semantics of the Python language, this library reference manual describes the standard library that is distributed with Python.
It also describes some of the optional components that are commonly included in Python distributions. Python’s standard library is very extensive, offering a wide range of facilities as indicated by the long table of contents listed below. The library contains built-in modules (written in C) that provide access to system functionality such as file I/O that would otherwise be inaccessible to Python programmers, as well as modules written in Python that provide standardized solutions for many problems that occur in everyday programming. Some of these modules are explicitly designed to encourage and enhance the portability of Python programs by abstracting away platform-specifics into platform-neutral APIs. 7 Python Libraries you should know about. In my years of programming in Python and roaming around GitHub's Explore section, I've come across a few libraries that stood out to me as being particularly enjoyable to use.
This blog post is an effort to further spread that knowledge. I specifically excluded awesome libs like requests, SQLAlchemy, Flask, fabric etc. because I think they're already pretty "main-stream". If you know what you're trying to do, it's almost guaranteed that you'll stumble over the aforementioned. This is a list of libraries that in my opinion should be better known, but aren't. 1. pyquery (with lxml) pip install pyquery For parsing HTML in Python, Beautiful Soup is oft recommended and it does a great job. Just how slow? What immediately stands out is how fast lxml is. So either slow and easy to use or fast and hard to use, right? Wrong! Python Extension Packages for Windows - Christoph Gohlke. By Christoph Gohlke, Laboratory for Fluorescence Dynamics, University of California, Irvine.
This page provides 32- and 64-bit Windows binaries of many scientific open-source extension packages for the official CPython distribution of the Python programming language. The files are unofficial (meaning: informal, unrecognized, personal, unsupported, no warranty, no liability, provided "as is") and made available for testing and evaluation purposes. If downloads fail reload this page, enable JavaScript, disable download managers, disable proxies, clear cache, and use Firefox. Please only download files manually as needed. Most binaries are built from source code found on PyPI or in the projects public revision control systems. Refer to the documentation of the individual packages for license restrictions and dependencies.
Use pip version 8 or newer to install the downloaded .whl files. Install numpy+mkl before other packages that depend on it. Build Environment. Pip — pip 1.4.1 documentation. The Django Book. Welcome to Jinja2 — Jinja2 2.8-dev documentation. Jinja2 is a modern and designer friendly templating language for Python, modelled after Django’s templates.
It is fast, widely used and secure with the optional sandboxed template execution environment: <title>{% block title %}{% endblock %}</title><ul>{% for user in users %} <li><a href="{{ user.url }}">{{ user.username }}</a></li>{% endfor %}</ul> Features: sandboxed executionpowerful automatic HTML escaping system for XSS preventiontemplate inheritancecompiles down to the optimal python code just in timeoptional ahead of time template compilationeasy to debug. Line numbers of exceptions directly point to the correct line in the template.configurable syntax Additional Information If you can’t find the information you’re looking for, have a look at the index or try to find it using the search function:
Python Django tutorial 1 installing easy_install, virtualenv & django. Kivy NUI Development Framework.