The Godson 1998
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MOVING CAMERAS AND LIVING MOVIES
I can say with absolute certainty that, everybody enjoys watching movies, cinema, films and television. But few, if any, know how a film is made: a film has inbuilt special effects or 'tricks'to make it appealing to audiences. MOVING CAMERAS AND LIVING MOVIES reveals to you ALL about films & Filmmaking; it is a hard and tasking enterprise involving tens of thousands of workers and millions of investment dollars. After reading MOVING CAMERAS...your love for movies will triple. Movie technicians and camera gurus have a license to mould, alter, and manipulate the screen to produce or induce rain, sunlight, snow, fire, or fly any object in space in defiance of gravity or even cause 'accidents'or 'raise' the dead to life. Learn the fascinating, exciting world of film, actresses, actors, fashion, and fictional entities.
Encyclopedia of African American Actresses in Film and Television
The first work of its kind, this encyclopedia provides 360 brief biographies of African American film and television acPER010000tresses from the silent era to 2009. It includes entries on well-known and nearly forgotten actresses, running the gamut from Academy Award and NAACP Image Award winners to B-film and blaxpoitation era stars. Each entry has a complete filmography of the actress's film, TV, music video or short film credits. The work also features more than 170 photographs, some of them rare images from the Schomburg Center for Research in Black Culture.
The Practitioner's Guide to Graph Data
Graph data closes the gap between the way humans and computers view the world. While computers rely on static rows and columns of data, people navigate and reason about life through relationships. This practical guide demonstrates how graph data brings these two approaches together. By working with concepts from graph theory, database schema, distributed systems, and data analysis, you’ll arrive at a unique intersection known as graph thinking. Authors Denise Koessler Gosnell and Matthias Broecheler show data engineers, data scientists, and data analysts how to solve complex problems with graph databases. You’ll explore templates for building with graph technology, along with examples that demonstrate how teams think about graph data within an application. Build an example application architecture with relational and graph technologies Use graph technology to build a Customer 360 application, the most popular graph data pattern today Dive into hierarchical data and troubleshoot a new paradigm that comes from working with graph data Find paths in graph data and learn why your trust in different paths motivates and informs your preferences Use collaborative filtering to design a Netflix-inspired recommendation system