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Introduction to Programming Concepts with Case Studies in Python [electronic resource] / by Gȵktȭrk ȣȺoluk, Sinan Kalkan.

Por: Colaborador(es): Tipo de material: TextoTextoEditor: Vienna : Springer Vienna : Imprint: Springer, 2012Descripción: X, 222 p. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9783709113431
Trabajos contenidos:
  • SpringerLink (Online service)
Tema(s): Formatos físicos adicionales: Sin títuloClasificación CDD:
  • 621.39 23
Clasificación LoC:
  • TK7885-7895
Recursos en línea:
Contenidos:
Springer eBooksResumen: The current text provides a clear introduction to Computer Science concepts in a programming environment. It is designed as suitable use in freshman- or introductory level coursework in CS and provides the fundamental concepts as well as abstract theorems for solving computational problems. The Python language serves as a medium for illustrating and demonstrating the concepts.
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The World of Programming -- Programming Languages -- Programming Paradigms -- The Zoo of Programming Languages -- How Programming Languages are Implemented -- How a Program gets ǣwrittenǥ -- Meet Python -- Further Reading -- Exercises -- Data: The First Ingredient of a Program -- What is Data? -- What is Structured Data? -- Basic Data Types -- Basic Organization of Data: Containers -- Accessing Data or Containers by Names : Variables -- Further Reading -- Exercises -- Actions: the 2nd Ingredient of a Program -- Purpose and Scope of Actions -- Action Types -- Controlling Actions: Conditionals -- Reusable Actions: Functions -- Functional Programming Tools in Python -- Further Reading -- Exercises -- Managing the Size of a Problem -- An Action Wizard: Recursion -- Iteration -- Recursion versus Iteration -- Further Reading -- Exercises -- Complexity -- Time and Memory Complexity -- Further Reading -- Exercises -- Organizing Data -- Primitive and Composite Data Types -- Abstract Data Types -- Abstract Data Types in Python -- Further Reading -- Exercises -- Objects: Reunion of Data and Action -- The Idea behind the Object-Oriented Paradigm (OOP) -- Properties of Object-Oriented Programming -- Object-Oriented Programming in Python -- Further Reading.

The current text provides a clear introduction to Computer Science concepts in a programming environment. It is designed as suitable use in freshman- or introductory level coursework in CS and provides the fundamental concepts as well as abstract theorems for solving computational problems. The Python language serves as a medium for illustrating and demonstrating the concepts.

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