欢迎大家赞助一杯啤酒🍺 我们准备了下酒菜:Formal mathematics/Isabelle/ML, Formal verification/Coq/ACL2, C++/F#/Lisp
Mako
来自开放百科 - 灰狐
(版本间的差异)
小 |
小 |
||
第1行: | 第1行: | ||
− | Mako is a template library written in Python. It provides a familiar, non-XML syntax which compiles into Python modules for maximum performance. Mako's syntax and API borrows from the best ideas of many others, including Django templates, Cheetah, Myghty, and Genshi. Conceptually, Mako is an embedded Python (i.e. Python Server Page) language, which refines the familiar ideas of componentized layout and inheritance to produce one of the most straightforward and flexible models available, while also maintaining close ties to Python calling and scoping semantics. | + | Mako is a template library written in Python. |
+ | |||
+ | ==简介== | ||
+ | It provides a familiar, non-XML syntax which compiles into Python modules for maximum performance. Mako's syntax and API borrows from the best ideas of many others, including Django templates, Cheetah, Myghty, and Genshi. Conceptually, Mako is an embedded Python (i.e. Python Server Page) language, which refines the familiar ideas of componentized layout and inheritance to produce one of the most straightforward and flexible models available, while also maintaining close ties to Python calling and scoping semantics. | ||
+ | |||
+ | ==功能== | ||
+ | |||
+ | ==用户== | ||
+ | *[[edX]] | ||
+ | |||
+ | ==图集== | ||
==链接== | ==链接== | ||
第5行: | 第15行: | ||
*[http://docs.huihoo.com/mako/ Mako文档] | *[http://docs.huihoo.com/mako/ Mako文档] | ||
− | + | [[category:template]] | |
− | + | [[category:python]] | |
− | [[ | + | |
− | [[ | + |
2017年9月29日 (五) 02:23的版本
Mako is a template library written in Python.
目录 |
简介
It provides a familiar, non-XML syntax which compiles into Python modules for maximum performance. Mako's syntax and API borrows from the best ideas of many others, including Django templates, Cheetah, Myghty, and Genshi. Conceptually, Mako is an embedded Python (i.e. Python Server Page) language, which refines the familiar ideas of componentized layout and inheritance to produce one of the most straightforward and flexible models available, while also maintaining close ties to Python calling and scoping semantics.
功能
用户
图集
链接
分享您的观点