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Python Programming: Using Problem Solving Approach_2nd Edition

By: Publication details: Oxford New Delhi 2024Edition: 2Description: 560 Pages Item Weight ‏ : ‎ 430 g Dimensions ‏ : ‎ 18.5 x 2.5 x 24.2 cmISBN:
  • 978-9354973765
Subject(s): DDC classification:
  • 005.133(PYT) REE
Summary: Python Programming (2nd Edition) – Reema Thareja Unlock the power of Python with this comprehensive and beginner-friendly guide. Designed to build a strong foundation in programming, this book takes readers from the basics of computer science to advanced Python concepts with clarity and precision. Whether you're a student or a self-learner, this edition offers a structured approach to mastering Python. It begins with fundamental concepts and gradually introduces more complex topics such as data structures, object-oriented programming, and exception handling. Each chapter is enriched with real-world examples, practical exercises, and debugging tips to reinforce learning and encourage hands-on practice. Ideal for academic courses and personal learning, this book empowers readers to write efficient, readable, and robust Python code.
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Item type Current library Collection Call number Status Date due Barcode
Text Book VAST Central Library Computer Science and Engineering 005.133(PYT) REE (Browse shelf(Opens below)) Checked out to Vishnu Shaji (EMP787) 22/03/2026 38182

Python Programming (2nd Edition) – Reema Thareja Unlock the power of Python with this comprehensive and beginner-friendly guide. Designed to build a strong foundation in programming, this book takes readers from the basics of computer science to advanced Python concepts with clarity and precision. Whether you're a student or a self-learner, this edition offers a structured approach to mastering Python. It begins with fundamental concepts and gradually introduces more complex topics such as data structures, object-oriented programming, and exception handling. Each chapter is enriched with real-world examples, practical exercises, and debugging tips to reinforce learning and encourage hands-on practice. Ideal for academic courses and personal learning, this book empowers readers to write efficient, readable, and robust Python code.

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