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Jinja is a web template engine for the Python programming language.It was created by Armin Ronacher and is licensed under a BSD License.Jinja is similar to the Django template engine, but provides Python-like expressions while ensuring that the templates are evaluated in a sandbox.
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built-in, Jinja2, Mako, Cheetah: Yes Yes Yes FastAPI: Python Yes - - - ORM-agnostic via pytest: depends on ORM Yes Jinja2 - Yes Yes Flask: Python Yes - - Yes ORM-agnostic via unittest depends on ORM Yes Jinja2: Yes Yes Yes Jam.py: Python, JavaScript: Yes Event driven Yes Yes Yes via pytest and mocha Yes Yes Yes Yes Yes Yes Pyjs: Python ...
In computer science, a for-loop or for loop is a control flow statement for specifying iteration. Specifically, a for-loop functions by running a section of code repeatedly until a certain condition has been satisfied. For-loops have two parts: a header and a body. The header defines the iteration and the body is the code executed once per ...
Jinja (Template engine) Pocoo team cross-platform (Python) 2.1.1 BSD: Kid (templating language) Ryan Tomayko cross-platform (Python) 0.9.6 2006-12-20 Mako: Michael Bayer
The types of objects that can be iterated across (my_list in the example) are based on classes that inherit from the library class ITERABLE. The iteration form of the Eiffel loop can also be used as a boolean expression when the keyword loop is replaced by either all (effecting universal quantification) or some (effecting existential ...
Jinja may refer to: Jinja, Uganda, a city in eastern Uganda close to the source of the Nile River Jinja District, Uganda, named after the above city; Shinto shrine, also called a "jinja", a structure that houses one or more Shinto kami (spirits or phenomena) Jinja (template engine), for the Python programming language
In loop-carried dependence, statements in an iteration of a loop depend on statements in another iteration of the loop. Loop-Carried Dependence uses a modified version of the dependence notation seen earlier. Example of loop-carried dependence where S1[i] ->T S1[i + 1], where i indicates the current iteration, and i + 1 indicates the next ...