python-decorator 3.4.0-2 source package in Ubuntu
Changelog
python-decorator (3.4.0-2) unstable; urgency=low [ Jakub Wilk ] * Use canonical URIs for Vcs-* fields. [ Piotr Ożarowski ] * Remove egg-info direcotry in clean target (Closes: #671192) -- Piotr Ożarowski <email address hidden> Tue, 21 May 2013 22:32:17 +0200
Upload details
- Uploaded by:
- Debian Python Modules Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Python Modules Team
- Architectures:
- all
- Section:
- python
- Urgency:
- Low Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
python-decorator_3.4.0-2.dsc | 2.2 KiB | 0565f3cb1b74056d77763d08d4ee7e6d7962318014648cbe281ceec6fa519378 |
python-decorator_3.4.0.orig.tar.gz | 29.6 KiB | c20b404cbb7ee5cebd506688e0114e3cd76f5ce233805a51f36e1a7988d9d783 |
python-decorator_3.4.0-2.debian.tar.gz | 3.7 KiB | 5d15836bbe7af78c0cc4c9240dc97322cae7c1644b0e3d78d1eaccfd785fadcc |
Available diffs
- diff from 3.3.3-1 to 3.4.0-2 (5.3 KiB)
No changes file available.
Binary packages built by this source
- python-decorator: simplify usage of Python decorators by programmers
Python 2.4 decorators have significantly changed the way Python programs are
structured.
* decorators help reduce boilerplate code;
* decorators help the separation of concerns;
* decorators enhance readability and maintainability;
* decorators are very explicit.
Still, as of now, writing custom decorators correctly requires some
experience and is not as easy as it could be. For instance, typical
implementations of decorators involve nested functions and we all know that
flat is better than nested.
The aim of the decorator module it to simplify the usage of decorators for
the average programmer and to popularize decorators usage giving examples of
useful decorators, such as memoize, tracing, redirecting_stdout, locked, etc.
- python3-decorator: simplify usage of Python decorators by programmers
Python 2.4 decorators have significantly changed the way Python programs are
structured.
* decorators help reduce boilerplate code;
* decorators help the separation of concerns;
* decorators enhance readability and maintainability;
* decorators are very explicit.
Still, as of now, writing custom decorators correctly requires some
experience and is not as easy as it could be. For instance, typical
implementations of decorators involve nested functions and we all know that
flat is better than nested.
The aim of the decorator module it to simplify the usage of decorators for
the average programmer and to popularize decorators usage giving examples of
useful decorators, such as memoize, tracing, redirecting_stdout, locked, etc.