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Readings from programming with Python / Kyla McMullen, Elizabeth Matthews, June Jamrich Parsons. [print]

By: Contributor(s): Material type: TextTextPublication details: Boston : Cengage, 2023Description: xiii, 540 pages : illustrations (chiefly color) ; 28 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780357637456
  • 0357637453
Subject(s): LOC classification:
  • QA76.73.M478.R433 2023
Contents:
Programming tools -- Literals, variables, and constants -- Numeric data types and expressions -- Character and string data types -- Decision control structures -- Repetition control structures -- Lists -- Functions -- Exceptions -- File operations -- Recursion -- Modules -- Classes and objects -- Methods -- Encapsulation -- Inheritance -- Polymorphism -- Linked list data structures -- Stacks and queues -- Trees and graphs -- Algorithm complexity and Big-O notation -- Search algorithms -- Sorting algorithms -- Processor architecture -- Data representation -- Programming paradigms -- User interfaces -- Software development methodologies -- Pseudocode, flowcharts, and decision tables -- Unified modeling language -- Glossary -- Index.
Subject: Ideal for beginners, this book helps students develop a useful understanding of computer science while equipping them with the skills to use Python programming language.
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Holdings
Item type Current library Collection Call number Status Date due Barcode
Circulating Book (checkout times vary with patron status) Circulating Book (checkout times vary with patron status) G. Allen Fleece Library CIRCULATING COLLECTION Non-fiction QA76.73.M478.R433 2023 (Browse shelf(Opens below)) Available 4215601430002

Programming tools -- Literals, variables, and constants -- Numeric data types and expressions -- Character and string data types -- Decision control structures -- Repetition control structures -- Lists -- Functions -- Exceptions -- File operations -- Recursion -- Modules -- Classes and objects -- Methods -- Encapsulation -- Inheritance -- Polymorphism -- Linked list data structures -- Stacks and queues -- Trees and graphs -- Algorithm complexity and Big-O notation -- Search algorithms -- Sorting algorithms -- Processor architecture -- Data representation -- Programming paradigms -- User interfaces -- Software development methodologies -- Pseudocode, flowcharts, and decision tables -- Unified modeling language -- Glossary -- Index.

Ideal for beginners, this book helps students develop a useful understanding of computer science while equipping them with the skills to use Python programming language.

Includes Index.

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