Programming for Problem Solving - II
Shakti Kumar
Sold by buchversandmimpf2000, Emtmannsberg, BAYE, Germany
AbeBooks Seller since January 23, 2017
New - Soft cover
Condition: New
Quantity: 1 available
Add to basketSold by buchversandmimpf2000, Emtmannsberg, BAYE, Germany
AbeBooks Seller since January 23, 2017
Condition: New
Quantity: 1 available
Add to basketThis item is printed on demand - Print on Demand Titel. Neuware -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.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 154 pp. Englisch.
Seller Inventory # 9789348642899
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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