Recipes — Bottle 0.13-dev documentation
Recipes¶ This is a collection of code snippets and examples for common use cases. Keeping track of Sessions¶ There is no built-in support for sessions because there is no right way to do it (in a micro framework). Depending on requirements and environment you could use beaker middleware with a fitting backend or implement it yourself. Here is an example for beaker sessions with a file-based backen
WSGI Application Profiler — Werkzeug Documentation (0.16.x)
Warning werkzeug.contrib.profiler has moved to werkzeug.middleware.profiler. The old import is deprecated as of version 0.15 and will be removed in version 1.0. class werkzeug.contrib.profiler.MergeStream(*streams)¶ An object that redirects write calls to multiple streams. Use this to log to both sys.stdout and a file: f = open('profiler.log', 'w') stream = MergeStream(sys.stdout, f) profiler = Pr
Beaker Documentation — Beaker 1.9.0 documentation
Beaker Documentation¶ Beaker is a library for caching and sessions for use with web applications and stand-alone Python scripts and applications. It comes with WSGI middleware for easy drop-in use with WSGI based web applications, and caching decorators for ease of use with any Python based application. Lazy-Loading Sessions: No performance hit for having sessions active in a request unless they’r
Waitress — waitress 2.1.2 documentation
Bugfix¶ When expose_tracebacks is enabled waitress would fail to properly encode unicode thereby causing another error during error handling. See https://github.com/Pylons/waitress/pull/378 Header length checking had a calculation that was done incorrectly when the data was received across multple socket reads. This calculation has been corrected, and no longer will Waitress send back a 413 Reques
waitress
Unverified details These details have not been verified by PyPI Project links Homepage Changelog Documentation Issue Tracker Meta License: Zope Public License (ZPL 2.1) Author: Zope Foundation and Contributors Maintainer: Pylons Project Tags waitress , wsgi , server , http Requires: Python >=3.9.0 Provides-Extra: docs , testing Classifiers Development Status 6 - Mature Environment Web Environment
Beaker Documentation — Beaker 1.9.0 documentation
Beaker Documentation¶ Beaker is a library for caching and sessions for use with web applications and stand-alone Python scripts and applications. It comes with WSGI middleware for easy drop-in use with WSGI based web applications, and caching decorators for ease of use with any Python based application. Lazy-Loading Sessions: No performance hit for having sessions active in a request unless they’r
Nicholas Piël » Benchmark of Python Web Servers
It has been a while since the Socket Benchmark of Asynchronous server. That benchmark looked specifically at the raw socket performance of various frameworks. Which was being benchmarked by doing a regular HTTP request against the TCP server. The server itself was dumb and did not actually understand the headers being send to it. In this benchmark i will be looking at how different WSGI servers pe
WSGIUtils
Standalone utility libraries to ease WSGI application development WSGIUtils is a package of standalone utility libraries that ease the development of simple WSGI programs. The package is divided into two main components which can be used individualy or in combination. wsgiServer is a multi-threaded WSGI web server based on SimpleHTTPServer. wsgiAdaptor is a simple WSGI application that provides ba
uWSGI
Note The project is in maintenance mode (only bugfixes and updates for new languages apis). Do not expect quick answers on github issues and/or pull requests (sorry for that) A big thanks to all of the users and contributors since 2009. The uWSGI project¶ The uWSGI project aims at developing a full stack for building hosting services. Application servers (for various programming languages and prot
Gunicorn - Python WSGI HTTP Server for UNIX
Gunicorn 'Green Unicorn' is a Python WSGI HTTP Server for UNIX. It's a pre-fork worker model. The Gunicorn server is broadly compatible with various web frameworks, simply implemented, light on server resources, and fairly speedy. Installation Here's a quick rundown on how to get started with Gunicorn. For more details read the documentation. $ pip install gunicorn $ cat myapp.py def app(environ,
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Testing Applications with WebTest — WebTest 2.0.31.dev0 documentation
Client Challenge
Programmeren in Python leren door online oefeningen
http://wiki.pylonshq.com/display/pylonsja/PEP333-ja