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reStructuredText (RST, ReST, or reST) is a file format for textual data used primarily in the Python programming language community for technical documentation.. It is part of the Docutils project of the Python Doc-SIG (Documentation Special Interest Group), aimed at creating a set of tools for Python similar to Javadoc for Java or Plain Old Documentation (POD) for Perl.
A file URI has the format file://host/path. where host is the fully qualified domain name of the system on which the path is accessible, and path is a hierarchical directory path of the form directory/directory/.../name. If host is omitted, it is taken to be "localhost", the machine from which the URL is being interpreted.
In this example, the image data is encoded with utf8 and hence the image data can broken into multiple lines for easy reading. Single quote has to be used in the SVG data as double quote is used for encapsulating the image source. A favicon can also be made with utf8 encoding and SVG data which has to appear in the 'head' section of the HTML:
It is composed by zero or more path segments that do not refer to an existing physical resource name (e.g. a file, an internal module program or an executable program) but to a logical part (e.g. a command or a qualifier part) that has to be passed separately to the first part of the path that identifies an executable module or program managed ...
TIFF/EP, TIF, TIFF – Tag Image File Format / Electronic Photography, ISO 12234-2; tends to be used as a basis for other formats rather than in its own right. VTF – Valve Texture Format; WEBP – WebP, an image format designed for the web that can provide both lossless and lossy compression. XBM – X Window System Bitmap
Sphinx converts reStructuredText files into HTML websites and other formats including PDF, EPub, Texinfo and man. reStructuredText is extensible, and Sphinx exploits its extensible nature through a number of extensions – for autogenerating documentation from source code, writing mathematical notation or highlighting source code, etc.
Python Imaging Library is a free and open-source additional library for the Python programming language that adds support for opening, manipulating, and saving many different image file formats. It is available for Windows, Mac OS X and Linux. The latest version of PIL is 1.1.7, was released in September 2009 and supports Python 1.5.2–2.7. [3]
image/tga Texture format used by many 3d application. Yes TIFF: Tag Image File Format Adobe Systems.tiff, .tif image/tiff Document scanning and imaging format, also functions as a container. Yes TIFF/EP: Tag Image File Format / Electronic Photography International Organization for Standardization TIFF.tiff, .tif UFO: Ulead File for Objects .ufo VML