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Autogen definitions (lists of key–value pairs or hierarchical data arranged like C structs ), Autogen templates (fixed output plus inline macros for conditional or repetitive emission of code blocks or evaluation of Bourne shell or Scheme expressions) XML, CGI data.
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.
Custom headers, footers, code coloring, and other CSS styles in individual pages. Project-wide TOC is generated from a user-defined template. Configurable syntax highlighting/coloring with automatic linking to symbols in declaration, ability to manually link to symbols in discussion, etc.
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, in Python a generator g can be evaluated to a list l via l = list(g), while in F# the sequence expression seq { ... } evaluates lazily (a generator or sequence) but [ ... ] evaluates eagerly (a list).
The Zen of Python is a collection of 19 "guiding principles" for writing computer programs that influence the design of the Python programming language. Python code that aligns with these principles is often referred to as "Pythonic". Software engineer Tim Peters wrote this set of principles and posted it on the Python mailing list in 1999.
Cheetah, a Python-powered template engine and code-generation tool; Construct, a python library for the declarative construction and deconstruction of data structures; Genshi, a template engine for XML-based vocabularies; IPython, a development shell both written in and designed for Python
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.