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In Laban Movement Analysis and Space Harmony (Choreutics) the same 27 direction symbols are used but they have a different conceptualization. Instead of envisaging the signs on three parallel horizontal planes (high, middle, and low levels), the direction signs are organized according to the octahedron, cube (), and the icosahedron.
Dance notation is the symbolic representation of human dance movement and form, using methods such as graphic symbols and figures, path mapping, numerical systems, and letter and word notations. Several dance notation systems have been invented, many of which are designed to document specific types of dance while others have been developed with ...
Laban effort graph with effort elements labeled. Effort, or what Laban sometimes described as dynamics, is a system for understanding the more subtle characteristics about movement with respect to inner intention. The difference between punching someone in anger and reaching for a glass is slight in terms of body organization – both rely on ...
The staff is read from bottom to top and the length of a symbol defines the duration of the movement. Drawing on western music notation, Labanotation uses bar lines to mark the measures and double bar lines at the start and end of the movement score. The starting position of the dancer can be given before the double bar lines at the start of ...
The Chicken Dance is an example of a line dance adopted by the Mod revival during the 1980s. [18] The music video for the 1990 Billy Ray Cyrus song "Achy Breaky Heart" has been credited for launching line dancing into the mainstream. [2] [19] [20] [21] In the 1990s, the hit Spanish dance song "Macarena" inspired a popular line dance. [22]
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Python and Matplotlib are cross-platform, and are therefore available for Windows, OS X, and the Unix-like operating systems like Linux and FreeBSD. Matplotlib can create plots in a variety of output formats, such as PNG and SVG. Matplotlib mainly does 2-D plots (such as line, contour, bar, scatter, etc.), but 3-D functionality is also available.
As the amounts of collected data and computing power grow (multicore, GPUs, clusters, clouds), modern datasets no longer fit into one computing node. Efficient distributed parallel algorithms for handling large-scale data are required. The GraphLab framework is a parallel programming abstraction targeted for sparse iterative graph