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9781284283211

Python Programming in Context 4th Edition by Jon Anderson

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Author
Julie Anderson
Edition
4th
Publisher
Jones & Bartlett Learning
ISBN
978-1284283211
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Description

Python Programming in Context, 4th Edition

Python Programming in Context, Fourth Edition provides a comprehensive and accessible introduction to the fundamentals of Python. Updated to include Python 3.10, this edition offers a thorough overview of multiple applied areas, including image processing, cryptography, astronomy, the Internet, and bioinformatics. By taking an active learning approach, each chapter begins with a comprehensive real-world project that teaches core design techniques and programming concepts to engage learners immediately.

As an ideal first language for those entering the rapidly expanding fields of computer science, data science, and scientific programming, Python provides a solid platform of key problem-solving skills that translate easily across various programming languages. This text serves as a foundation for a first course in computer science, focusing on problem-solving with language features introduced incrementally as needed to solve specific challenges.

The Fourth Edition emphasizes extrapolation and the development of independent exploration, providing a unique and innovative approach to learning. While students solve problems of general interest, language elements are introduced with deliberate exposure to the fundamentals, making this the ideal introductory text for mastering the Python language.

Book Details

  • Title: Python Programming in Context
  • Edition: 4th Edition
  • Author: Jon Anderson, Julie Anderson
  • Publisher: Jones & Bartlett Learning
  • Publication Date: April 17, 2024
  • ISBN-10: 1284283216
  • ISBN-13: 978-1284283211
  • Language: English

Key Features

  • Updated Content: Fully updated to cover the features and syntax of Python 3.10.
  • Active Learning: Hands-on projects in every chapter focus on real-world applications like bioinformatics and cryptography.
  • Problem-Solving Focus: Designed for introductory computer science courses with an emphasis on building solution-oriented mindsets.
  • Multi-Disciplinary Approach: Explores how Python is used across various scientific and technical domains.