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^ "Telosys code generator for Java, JavaScript, Python, NodeJS, PHP, C#, etc". www.telosys.org. Retrieved 23 April 2024.
Basic general information about the generators, including: creator or company, license, and price.
Strings in Python can be concatenated by "adding" them (with the same operator as for adding integers and floats), e.g. "spam" + "eggs" returns "spameggs". If strings contain numbers, they are added as strings rather than integers, e.g. "2" + "2" returns "22". Python has various string literals :
To do so technically would require a more sophisticated grammar, like a Chomsky Type 1 grammar, also termed a context-sensitive grammar. However, parser generators for context-free grammars often support the ability for user-written code to introduce limited amounts of context-sensitivity. (For example, upon encountering a variable declaration ...
Introduced in Python 2.2 as an optional feature and finalized in version 2.3, generators are Python's mechanism for lazy evaluation of a function that would otherwise return a space-prohibitive or computationally intensive list.
Generators first appeared in CLU (1975), [5] were a prominent feature in the string manipulation language Icon (1977) and are now available in Python (2001), [6] C#, [7] Ruby, PHP, [8] ECMAScript (as of ES6/ES2015 ), and other languages. In CLU and C#, generators are called iterators, and in Ruby, enumerators .
Quixote, a framework for developing Web applications in Python. RapidSMS, a web framework which extends the logic and capabilities of Django to communicate with SMS messages. Spyce, a technology to embed Python code into webpages. TACTIC, a web-based smart process application and digital asset management system.
The Zen of Python is a collection of 19 "guiding principles" for writing computer programs that influence the design of the Python programming language. [1] Python code that aligns with these principles is often referred to as "Pythonic".
Sphinx is a documentation generator written and used by the Python community. It is written in Python, and also used in other environments.
In computing, code generation is part of the process chain of a compiler and converts intermediate representation of source code into a form (e.g., machine code) that can be readily executed by the target system.