Paperback. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Detalles bibliogr�ficos

T�tulo: Programming for Problem Solving - II (Paperback)
Editor: Academic Enclave
Fecha de publicaci�n: 2025
Idioma: Ingl�s
ISBN 10: 9348642898
ISBN 13: 9789348642899
Encuadernaci�n: Paperback
Estado: new

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Sinopsis

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.

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