Abstract Syntax Trees, ASTs, are a powerful feature of Python. You can write programs that inspect and modify Python code, after the syntax has been parsed, but before it gets compiled to byte code. That opens up a world of possibilities for introspection, testing, and mischief.

The official documentation for the ast module used to be rather brief. A large part of the material from Green Tree Snakes, describing all of the AST node classes, has now been merged into the ast module docs. The remainder here aims to serve as a field guide (or forest guide?) to working with ASTs in practice.

The table below shows the full list of languages (and corresponding classes/aliases) supported by Highlight.js. Languages that list a Package below are 3rd party languages and are not bundled with the core library. You can find their repositories by following the links.

Note: The languages available will depend on how you’ve built or are included the library in your app. For example our default minified web build includes only ~40 popular languages. See Getting the Library and Importing the Library in the README for examples of how to load additional/specific languages.

There are two types of formats that YAML supports for strings: block scalar and flow scalar formats. (Scalars are what YAML calls basic values like numbers or strings, as opposed to complex types like arrays or objects.) Block scalars have more control over how they are interpreted, whereas flow scalars have more limited escaping support.

This is the home of Pygments. It is a generic syntax highlighter suitable for use in code hosting, forums, wikis or other applications that need to prettify source code. Highlights are:

• a wide range of 547 languages and other text formats is supported

• special attention is paid to details that increase highlighting quality

• support for new languages and formats are added easily; most languages use a simple regex-based lexing mechanism

• a number of output formats is available, among them HTML, RTF, LaTeX and ANSI sequences

• it is usable as a command-line tool and as a library

his page describes the wiki markup used on some administration screens in Confluence.

Wiki markup is useful when you want to do one of the following:

Type wiki markup directly into the editor. Confluence will convert it to the rich text editor format as you type.
Create links using the Advanced tab of the Links Browser.
Add custom content to the sidebar, header or footer of a space.
Insert a block of wiki markup (or markdown) into the Confluence editor. (Choose Insert > Markup.)
Note: You cannot edit content in wiki markup. Confluence does not store page content in wiki markup. Although you can enter wiki markup into the editor, Confluence will convert it to the rich text editor format immediately. You will not be able to edit the wiki markup after initial entry.

Docker can build images automatically by reading the instructions from a Dockerfile. A Dockerfile is a text document that contains all the commands a user could call on the command line to assemble an image. Using docker build users can create an automated build that executes several command-line instructions in succession.

This page describes the commands you can use in a Dockerfile. When you are done reading this page, refer to the Dockerfile Best Practices for a tip-oriented guide.

vim-flake8 is a Vim plugin that runs the currently open file through Flake8, a static syntax and style checker for Python source code. It supersedes both vim-pyflakes and vim-pep8.

Flake8 is a wrapper around PyFlakes (static syntax checker), PEP8 (style checker) and Ned's MacCabe script (complexity checker).

bpython is a fancy interface to the Python interpreter for Linux, BSD, OS X and Windows (with some work). bpython is released under the MIT License. It has the following (special) features:

• In-line syntax highlighting
• Readline-like autocomplete with suggestions displayed as you type.
• Expected parameter list for any Python function.
• "Rewind" function to pop the last line of code from memory and re-evaluate.
• Send the code you've entered off to a pastebin.
• Save the code you've entered to a file.
• Auto-indentation.
• Python 3 support.