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Flask-Caching download for Windows

Free download Flask-Caching Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named Flask-Caching whose latest release can be downloaded as 2.1.0.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named Flask-Caching with OnWorks for free.

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- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

SCREENSHOTS

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Flask-Caching


DESCRIPTION

Flask-Caching is an extension to Flask that adds caching support for various backends to any Flask application. By running on top of cachelib it supports all of werkzeug’s original caching backends through a uniformed API. It is also possible to develop your own caching backend by subclassing flask_caching.backends.base.BaseCache class. Flask’s pluggable view classes are also supported. To cache them, use the same cached() decorator on the dispatch_request method. Using the same @cached decorator you are able to cache the result of other non-view related functions. The only stipulation is that you replace the key_prefix, otherwise it will use the request.path cache_key. Keys control what should be fetched from the cache. If, for example, a key does not exist in the cache, a new key-value entry will be created in the cache. Otherwise, the value (i.e. the cached result) of the key will be returned.



Features

  • Since 1.8, Flask-Caching supports only Python 3.5+
  • Cache is managed through a Cache instance
  • To cache view functions you will use the cached() decorator
  • Caching Pluggable View Classes
  • Flask’s pluggable view classes are also supported
  • In memoization, the functions arguments are also included into the cache_key


Programming Language

Python


Categories

Frameworks, Web Development

This is an application that can also be fetched from https://sourceforge.net/projects/flask-caching.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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