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The first Java GUI toolkit was the Abstract Window Toolkit (AWT), introduced with Java Development Kit (JDK) 1.0 as one component of Sun Microsystems' Java platform. The original AWT was a simple Java wrapper library around native (operating system-supplied) widgets such as menus, windows, and buttons.
For example, in Swing, only use JButton, never Button class. As mentioned above, the AWT core classes, such as Color and Font, are still used as-is in Swing. When drawing in Swing, use JPanel and override paintComponent(Graphics g) instead of using the AWT paint() methods. Before Java 6 Update 12, mixing Swing components and basic AWT widgets ...
In addition to the fill operation, Java 2D provides a draw operation. While fill draws the interior of a shape, draw draws its outline. The outline can be as simple as a thin line, or as complicated as a dashed line with each dash having rounded edges. The object responsible for generating the outline is the stroke. Given an input shape, the ...
Swing is a highly modular-based architecture, which allows for the "plugging" of various custom implementations of specified framework interfaces: Users can provide their own custom implementation(s) of these components to override the default implementations using Java's inheritance mechanism via LookAndFeel.
The "Java Foundation Classes" were later renamed "Swing", adding the capability for a pluggable look and feel of the widgets. This allowed Swing programs to maintain a platform-independent code base, but mimic the look of a native application. The release of JFC made IFC obsolete, and dropped interest for Microsoft's AFC.
HIPO model (hierarchical input process output model) is a systems analysis design aid and documentation technique from the 1970s, [1] used for representing the modules of a system as a hierarchy and for documenting each module. [2] [3]
It is a main task of exploratory data analysis, and a common technique for statistical data analysis, used in many fields, including pattern recognition, image analysis, information retrieval, bioinformatics, data compression, computer graphics and machine learning. Cluster analysis refers to a family of algorithms and tasks rather than one ...
Predictive analytics statistical techniques include data modeling, machine learning, AI, deep learning algorithms and data mining. Often the unknown event of interest is in the future, but predictive analytics can be applied to any type of unknown whether it be in the past, present or future.