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A snippet of Python code with keywords highlighted in bold yellow font. The syntax of the Python programming language is the set of rules that defines how a Python program will be written and interpreted (by both the runtime system and by human readers). The Python language has many similarities to Perl, C, and Java. However, there are some ...
In computer science, the syntax of a computer language is the rules that define the combinations of symbols that are considered to be correctly structured statements or expressions in that language. This applies both to programming languages , where the document represents source code , and to markup languages , where the document represents data.
Python. The use of the triple-quotes to comment-out lines of source, does not actually form a comment. [19] The enclosed text becomes a string literal, which Python usually ignores (except when it is the first statement in the body of a module, class or function; see docstring). Elixir
Pydoc can be accessed from a module-specific GUI, [2] from within the Python interpreter, or from a command line shell. [1] [3] Developed by Ka-Ping Yee, [4] [5] it is included by default in all versions of Python since Python 2.1 and is available for download for 1.5.2, 1.6, and 2.0. [3] Pydoc is used to extract documentation from the source ...
Other examples include interpreter directives: The Unix "shebang" – #! – used on the first line of a script to point to the interpreter to be used. "Magic comments" identifying the encoding a source file is using, [21] e.g. Python's PEP 263. [22] The script below for a Unix-like system shows both of these uses:
Programming languages can have multiple implementations. Different implementations can be written in different languages and can use different methods to compile or interpret code. For example, implementations of Python include: [9] CPython, the reference implementation of Python; IronPython, an implementation targeting the .NET Framework ...
Interpreter languages do not create machine-specific code and can be executed on any type of machine. [7] The development and debugging process is typically quicker due to less complexity and it has more flexibility. [7] There are clear disadvantages when translating high-level code with an interpreter. [7]
PyPy itself is built using a technique known as meta-tracing, which is a mostly automatic transformation that takes an interpreter as input and produces a tracing just-in-time compiler as output. Since interpreters are usually easier to write than compilers , but run slower, this technique can make it easier to produce efficient implementations ...