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Flask was created by Armin Ronacher of Pocoo, an international group of Python enthusiasts formed in 2004. [6] According to Ronacher, the idea was originally an April Fool's joke that was popular enough to make into a serious application. [7] [8] [9] The name is a play on the earlier Bottle framework. [7]
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, JavaScript: Yes Use PureMVC Python version (compiled to JavaScript) Yes ??, no direct data access No No Pylons: Python helpers for ...
Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of Python 2. [37] Python consistently ranks as one of the most popular programming languages, and has gained widespread use in the machine learning community. [38] [39] [40] [41]
Jakarta Faces, formerly Jakarta Server Faces and JavaServer Faces (JSF) is a Java specification for building component-based user interfaces for web applications. [2] It was formalized as a standard through the Java Community Process as part of the Java Platform, Enterprise Edition.
A downside to the use of server-side scripting is that the client needs to make further requests over the network to the server in order to show new information to the user via the web browser. These requests can slow down the experience for the user, place more load on the server, and prevent the use of the application when the user is ...
Python: Python is a versatile, high-level programming language used for a variety of purposes, including server-side web development. Frameworks like Django and Flask make it easy to build web applications in Python. Ruby: Ruby is an object-oriented programming language, and it is commonly used for web development.
RDFLib is a Python library for working with RDF, [2] a simple yet powerful language for representing information. This library contains parsers/serializers for almost all of the known RDF serializations, such as RDF/XML, Turtle, N-Triples, & JSON-LD, many of which are now supported in their updated form (e.g. Turtle 1.1).
Individual machine languages are specific to a family of processors; machine-language code for one family of processors cannot run directly on processors in another family unless the processors in question have additional hardware to support it (for example, DEC VAX processors included a PDP-11 compatibility mode).