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The cover of “Introduction to Programming Concepts with Case Studies in Python” - Open Library.

"Introduction to Programming Concepts with Case Studies in Python" was published by Springer Vienna in 2012 - Vienna, it has 221 pages and the language of the book is English.


“Introduction to Programming Concepts with Case Studies in Python” Metadata:

  • Title: ➤  Introduction to Programming Concepts with Case Studies in Python
  • Author:
  • Language: English
  • Number of Pages: 221
  • Publisher: Springer Vienna
  • Publish Date:
  • Publish Location: Vienna

“Introduction to Programming Concepts with Case Studies in Python” Subjects and Themes:

Edition Specifications:

  • Format: [electronic resource] /
  • Pagination: ➤  X, 221 p. 86 illus., 61 illus. in color.

Edition Identifiers:

AI-generated Review of “Introduction to Programming Concepts with Case Studies in Python”:


"Introduction to Programming Concepts with Case Studies in Python" Table Of Contents:

  • 1- <p>The World of Programming
  • 2- Programming Languages
  • 3- Programming Paradigms
  • 4- The Zoo of Programming Languages
  • 5- How Programming Languages are Implemented
  • 6- How a Program gets “written”
  • 7- Meet Python
  • 8- Further Reading
  • 9- Exercises
  • 10- Data: The First Ingredient of a Program
  • 11- What is Data?
  • 12- What is Structured Data?
  • 13- Basic Data Types
  • 14- Basic Organization of Data: Containers
  • 15- Accessing Data or Containers by Names : Variables
  • 16- Further Reading
  • 17- Exercises
  • 18- Actions: the 2nd Ingredient of a Program
  • 19- Purpose and Scope of Actions
  • 20- Action Types
  • 21- Controlling Actions: Conditionals
  • 22- Reusable Actions: Functions
  • 23- Functional Programming Tools in Python
  • 24- Further Reading
  • 25- Exercises
  • 26- Managing the Size of a Problem
  • 27- An Action Wizard: Recursion
  • 28- Iteration
  • 29- Recursion versus Iteration
  • 30- Further Reading
  • 31- Exercises
  • 32- Complexity
  • 33- Time and Memory Complexity
  • 34- Further Reading
  • 35- Exercises
  • 36- Organizing Data
  • 37- Primitive and Composite Data Types
  • 38- Abstract Data Types
  • 39- Abstract Data Types in Python
  • 40- Further Reading
  • 41- Exercises
  • 42- Objects: Reunion of Data and Action
  • 43- The Idea behind the Object-Oriented Paradigm (OOP)
  • 44- Properties of Object-Oriented Programming
  • 45- Object-Oriented Programming in Python
  • 46- Further Reading.</p>.

"Introduction to Programming Concepts with Case Studies in Python" Description:

The Open Library:

<p>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. </p>

Open Data:

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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