Python Programming: An Introduction to Computer Science, Fourth Edition
Python Programming: An Introduction to Computer Science, Fourth Edition
This new edition has all the familiar elements that made previous editions a leading intro textbook, including extensive use of computer graphics, interesting examples, readable prose, flexible spiral coverage, just-in-time object coverage, and extensive end-of-chapter problems.
Python Programming: An Introduction to Computer Science, Fourth Edition
Numéro d'article: 165781309

Python Programming: An Introduction to Computer Science, Fourth Edition

Numéro d'article: 165781309

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This new edition has all the familiar elements that made previous editions a leading intro textbook, including extensive use of computer graphics, interesting examples, readable prose, flexible spiral coverage, just-in-time object coverage, and extensive end-of-chapter problems.
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Ce qui se démarque

Comprehensive Curriculum
Designed for beginners, this book provides a thorough introduction to computer science concepts using Python, ensuring a solid foundation for learners in programming and problem-solving.
Real-World Applications
The text emphasizes practical applications of programming concepts, helping readers understand how to solve tangible problems, enhancing engagement and knowledge retention.
Updated Content
The fourth edition includes the latest Python updates and modern programming practices, ensuring learners are equipped with relevant skills for today's tech landscape.

Détails du produit

Shop Python Programming: An Introduction to Computer Science, Fourth Edition online at a best price in Belgium. 1590282973
  • This new edition has all the familiar elements that made previous editions a leading intro textbook, including: Extensive use of computer graphics. Coverage includes a simple-to-use graphics package (provided as a Python module) that allows students both to learn the principles of computer graphics and to practice object-oriented concepts without the complexity inherent in a full-blown graphics library and event-driven programming. Interesting examples. This book is packed with complete programming examples to solve real problems. Readable prose. Key computer science concepts are introduced in a natural way as an outgrowth of a developing discussion. Flexible spiral coverage. Each chapter is organized so that new ideas are introduced gradually, giving students time to assimilate an increasing level of detail. Ideas that take more time to master are introduced in early chapters and reinforced in later chapters. Just-in-time object coverage. This book gradually introduces object concepts after a brief initial grounding in the basics of imperative programming. Students learn multiple design techniques, including top-down (functional decomposition), spiral (prototyping), and object-oriented methods. Extensive end-of-chapter problems. Exercises at the end of every chapter provide ample opportunity for students to reinforce their mastery of the chapter material and to practice new programming skills. NEW TO THE FOURTH EDITIONThe focus of this edition continues to be on providing a solid foundation in computer science appropriate for a first computing course for CS majors (CS1). At the same time, many learners outside of CS are also keen to develop programming skills. All budding programmers are best served by a firm grounding in computer science and software design, so the material here has been streamlined and reorganized to make it more useful as a reference for learners in CS-adjacent fields such as the natural and social sciences, data science, and intelligent systems. Special attention is paid to essential idioms that students are likely to see in Python code that they encounter in the wild. In addition to technology updates throughout, those familiar with the previous edition will notice these changes: Addition of new material on operating systems and an extended discussion of persistent data including file systems, binary files, and data serialization over networks. Inclusion of new and additional Python features: f-strings for string formatting, context managers, list comprehensions, sequence functions, and the pathlib and pickle libraries. Streamlining of early chapters including covering all control structures before going into depth on sequence types such as strings and lists. Consolidation of objected-oriented design case studies in a dedicated chapter. Additional programming exercises.
Publisher Franklin, Beedle & Associates
Publication date March 20, 2024
Edition 4th
Language English
Print length 574 pages
ISBN-10 1590282973
ISBN-13 978-1590282977
Item Weight 885 g
Dimensions 7.5 x 1.3 x 9.25 inches (19.1 x 3.3 x 23.5 cm)

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Questions et réponses des clients

  • question: What fields will benefit from the material in this book?

    répondre: Fields such as natural and social sciences, data science, intelligent systems, and CS-adjacent areas.
  • question: What are some updates in the fourth edition?

    répondre: New material on operating systems, enhanced discussion of persistent data, and the addition of new Python features and programming exercises.
  • question: How does this book approach object-oriented design case studies?

    répondre: By consolidating them into a dedicated chapter for better understanding and coverage.

English Edition John M. Zelle Format: Paperback Python Editorial Review

Python Programming: An Introduction to Computer Science, Fourth Edition is an insightful resource published by Franklin, Beedle & Associates on March 20, 2024. This updated edition is designed to guide readers through the foundational concepts of programming utilizing Python, making it an excellent choice for both newcomers and individuals looking to enhance their coding skills. With a robust print length of 574 pages, it comprehensively covers computer science principles while being accessible in English. The book’s dimensions of 7.5 x 1.3 x 9.25 inches make it conveniently portable for study sessions. Readers appreciate the clarity with which complex concepts are presented throughout the book, fostering a deeper understanding of programming.

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Avantages

  • Comprehensive coverage of programming concepts
  • Accessible for beginners and advanced users
  • Well-organized chapters for easy learning
  • Clear explanations of complex topics
  • Updated content for modern programming

Les inconvénients

  • No additional interactive resources included

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