Explorations in computing: an introduction to computer science and Python programming/ John S. Conery.

By:

Conery, John S

Series: Chapman & Hall/CRC textbooks in computingPublication details: CRC Press, Boca Raton, 2015.Description: xv, 423p. illustrationsISBN:

9781466572447

Subject(s):

DDC classification:

004 Q5

Online resources:

Click here to access online

Summary: "This text helps beginners develop their own Python programs. Experiments with fully completed programs are provided at the beginning of each chapter, allowing instructors to use the text in CS0 courses where students do not learn programming. Programming projects appear later in each chapter. Students are encouraged either to write the code that implements the functions introduced earlier or extend the existing programs. All the projects push students to explore further on their own"--Summary: "Preface This book is a revised and updated version of Explorations in Computing: An Introduction to Computer Science, an introductory textbook I wrote in 2011 (and also published by Chapman & Hall/CRC Press). Like the previous book, this one is for beginning students with no prior computer science or computer programming background. The first book was written primarily for "CS0" courses, where the goal is to introduce the key concepts and, as much as possible, give a broad overview of the field. The distinguishing feature of that text is the use of tutorial style projects that provide students an opportunity to experiment with topics without having to learn how to write programs. For example, in the chapter on simple searching and sorting algorithms, students learn what arrays are and how to create array objects they can use to test the algorithms, but all the projects are based on linear search and insertion sort functions that are part of a software package that accompanies the book. This new book has two major differences from the previous one. The first, most obvious, difference is the switch from Ruby to Python. Python has been widely adopted as the language of choice for first-year ("CS1") computer science courses. By revising the lab software to use Python the hope is that students and instructors will find it easier to make a seamless transition from the introductory projects in this book to the deeper studies in later courses. The second difference is that this new edition is also an introduction to Python programming. The primary emphasis is still on "computational thinking" and important concepts in computing, but along the way readers are presented with sufficient Python programming skills that they can implement their own programs to explore the ideas"--

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Books	Mahatma Gandhi University Library General Stacks	004 Q5 (Browse shelf(Opens below))	Available		53708

Total holds: 0

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Previous	004 P41 1001 amazing tech facts:	004 Q0 Fundamentals of computing/	004 Q1 Digital fundamentals/	004 Q5 Explorations in computing:	004 Q51 Mobile computing/	004 Q52 Workload modeling for computer systems performance evaluation /	004 R0 Introduction to computational origami: the world of new computational geometry/	Next

Includes index.

"This text helps beginners develop their own Python programs. Experiments with fully completed programs are provided at the beginning of each chapter, allowing instructors to use the text in CS0 courses where students do not learn programming. Programming projects appear later in each chapter. Students are encouraged either to write the code that implements the functions introduced earlier or extend the existing programs. All the projects push students to explore further on their own"--

"Preface This book is a revised and updated version of Explorations in Computing: An Introduction to Computer Science, an introductory textbook I wrote in 2011 (and also published by Chapman & Hall/CRC Press). Like the previous book, this one is for beginning students with no prior computer science or computer programming background. The first book was written primarily for "CS0" courses, where the goal is to introduce the key concepts and, as much as possible, give a broad overview of the field. The distinguishing feature of that text is the use of tutorial style projects that provide students an opportunity to experiment with topics without having to learn how to write programs. For example, in the chapter on simple searching and sorting algorithms, students learn what arrays are and how to create array objects they can use to test the algorithms, but all the projects are based on linear search and insertion sort functions that are part of a software package that accompanies the book. This new book has two major differences from the previous one. The first, most obvious, difference is the switch from Ruby to Python. Python has been widely adopted as the language of choice for first-year ("CS1") computer science courses. By revising the lab software to use Python the hope is that students and instructors will find it easier to make a seamless transition from the introductory projects in this book to the deeper studies in later courses. The second difference is that this new edition is also an introduction to Python programming. The primary emphasis is still on "computational thinking" and important concepts in computing, but along the way readers are presented with sufficient Python programming skills that they can implement their own programs to explore the ideas"--

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