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Grokking algorithms : video edition /

"Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Bhargava, Aditya (Autor)
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : Manning Publications, 2016.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:"Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this video editions course, you will have mastered widely applicable algorithms as well as how and when to use them."--Resource description page
Notas:Title from resource description page (Safari, viewed July 9, 2018).
Descripción Física:1 online resource (1 streaming video file (3 hr., 49 min., 26 sec.))