Learn to Code by Solving Problems (ePub)
A Python Programming Primer
(Sprache: Englisch)
Learn to Program by Solving Problems is a practical introduction to programming using Python, one of the world's most popular programming languages. The book emphasizes problem-solving strategies that teach readers not only the mechanics of coding, but how...
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Produktinformationen zu „Learn to Code by Solving Problems (ePub)“
Learn to Program by Solving Problems is a practical introduction to programming using Python, one of the world's most popular programming languages. The book emphasizes problem-solving strategies that teach readers not only the mechanics of coding, but how to think like savvy programmers.
• Teaches readers how to use Python to solve short, situational problems (for example, how to predict when a gambler will run out of money while playing slot machines; how to create a program to track cell phone data usage; how to set up a system of identifying the popularity of berths in a parking lot)
• Each chapter requires the reader to learn a new feature or function of Python in order to solve a problem
• Emphasizes basic programming concepts, problem-solving strategies, and critical thinking skills that lay the groundwork for readers to think like good programmers
• Teaches readers how to use Python to solve short, situational problems (for example, how to predict when a gambler will run out of money while playing slot machines; how to create a program to track cell phone data usage; how to set up a system of identifying the popularity of berths in a parking lot)
• Each chapter requires the reader to learn a new feature or function of Python in order to solve a problem
• Emphasizes basic programming concepts, problem-solving strategies, and critical thinking skills that lay the groundwork for readers to think like good programmers
Autoren-Porträt von Daniel Zingaro
Dr. Daniel Zingaro is an award-winning Associate Professor of Computer Science in the teaching stream at University of Toronto Mississauga, and is internationally recognized for his expertise in Active Learning. He is also the author of Algorithmic Thinking (No Starch Press, 2021).
Bibliographische Angaben
- Autor: Daniel Zingaro
- 2021, 336 Seiten, Englisch
- Verlag: No Starch Press
- ISBN-10: 1718501331
- ISBN-13: 9781718501331
- Erscheinungsdatum: 29.06.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 15 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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