Programming for Problem Solving - II

Shakti Kumar

ISBN 10: 9348642898 / ISBN 13: 9789348642899

Published by Academic Enclave, 2025

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Programming for Problem Solving - II [Python] is a comprehensive guide designed to introduce beginners and intermediate learners to the fundamentals of Python programming. This book covers essential topics such as Python basics, data types, and operators, ensuring a strong foundation in programming logic. Readers will explore control statements, loops, and string manipulations to enhance their problem-solving skills. With dedicated chapters on lists, tuples, sets, and dictionaries, the book provides a thorough understanding of Python's data structures, enabling efficient data handling and processing. Further, the book delves into functions and error handling, equipping readers with the knowledge to write modular and error-free code. Advanced topics such as Python libraries, Pandas, and data visualization with Seaborn help readers transition into data analysis and visualization. Through practical examples and hands-on exercises, this book serves as an excellent resource for students, professionals, and programming enthusiasts looking to strengthen their Python skills for academic and real-world applications.

Seller Inventory # 9789348642899

Bibliographic Details

• Title: Programming for Problem Solving - II
• Publisher: Academic Enclave
• Publication Date: 2025
• Language: English
• ISBN 10: 9348642898
• ISBN 13: 9789348642899
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 234W x 156H x 9D millimeters 234 millimeters width by 156 millimeters height by 9 millimeters depth
• Weight: 245 grams

About this title

Synopsis

Programming for Problem Solving - II [Python] is a comprehensive guide designed to introduce beginners and intermediate learners to the fundamentals of Python programming. This book covers essential topics such as Python basics, data types, and operators, ensuring a strong foundation in programming logic. Readers will explore control statements, loops, and string manipulations to enhance their problem-solving skills. With dedicated chapters on lists, tuples, sets, and dictionaries, the book provides a thorough understanding of Python's data structures, enabling efficient data handling and processing. Further, the book delves into functions and error handling, equipping readers with the knowledge to write modular and error-free code. Advanced topics such as Python libraries, Pandas, and data visualization with Seaborn help readers transition into data analysis and visualization. Through practical examples and hands-on exercises, this book serves as an excellent resource for students, professionals, and programming enthusiasts looking to strengthen their Python skills for academic and real-world applications.