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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]
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).
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.
A software development methodology is a framework that is used to structure, plan, and control the life cycle of a software product. Common methodologies include waterfall, prototyping, iterative and incremental development, spiral development, agile software development, rapid application development, and extreme programming.
The intent is to make web pages feel more responsive by exchanging small amounts of data with the server behind the scenes, so that the entire web page does not have to be reloaded each time the user requests a change. This is intended to increase a web page's interactivity, speed, maintainability, and usability. [28]
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 ...
Protocol Buffers (Protobuf) is a free and open-source cross-platform data format used to serialize structured data. It is useful in developing programs that communicate with each other over a network or for storing data.
Cython provides optional manual memory management by letting the user import malloc, realloc, and free from C, which they can then use in Python code. [ 18 ] D provides programmers with full control over its own garbage collector, including the ability to disable it outright.