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| Title | Python For Everyone, 3ed, An Indian Adaptation |
| Author | Cay S. Horstmann, Rance D. Necaise |
| ISBN-13 | 9789357465304 |
| Publication | WILEY |
Python for Everyone, 3rd Edition is renowned for its clear, accessible language and its practical approach to learning. It is suitable for course in programming for computer scientists, engineers, and students in other disciplines. Starting with the fundamentals and progressing to sophisticated programming techniques, the book covers essential topics such as data structures, algorithms, object-oriented programming, and even dives into Python's powerful applications in data science and machine learning. It empowers readers to not just understand Python syntax but to also apply it effectively to solve real-world problems
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Python for Everyone, 3rd Edition is renowned for its clear, accessible language and its practical approach to learning. It is suitable for course in programming for computer scientists, engineers, and students in other disciplines. Starting with the fundamentals and progressing to sophisticated programming techniques, the book covers essential topics such as data structures, algorithms, object-oriented programming, and even dives into Python's powerful applications in data science and machine learning. It empowers readers to not just understand Python syntax but to also apply it effectively to solve real-world problems
Cay S. Horstmann, Rance D. Necaise is the author of Python For Everyone, 3ed, An Indian Adaptation.
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| Title | Python For Everyone, 3ed, An Indian Adaptation |
| Author | Cay S. Horstmann, Rance D. Necaise |
| ISBN-13 | 9789357465304 |
| Publication | WILEY |
Python for Everyone, 3rd Edition is renowned for its clear, accessible language and its practical approach to learning. It is suitable for course in programming for computer scientists, engineers, and students in other disciplines. Starting with the fundamentals and progressing to sophisticated programming techniques, the book covers essential topics such as data structures, algorithms, object-oriented programming, and even dives into Python's powerful applications in data science and machine learning. It empowers readers to not just understand Python syntax but to also apply it effectively to solve real-world problems