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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This book, "Python for Data Science (AD25201)", is designed in accordance with the Anna University Syllabus - Regulation 2025 for Artificial Intelligence and Data Science (II Semester) students. It introduces Python programming with an emphasis on data analysis and data science applications.
The content is organized systematically with clear explanations, illustrative examples, and Python programs to support effective learning. This book aims to build a strong foundation in Python and essential data science techniques, making it useful for examinations, laboratory courses, and self-study.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This book, "Python for Data Science (AD25201)", is designed in accordance with the Anna University Syllabus - Regulation 2025 for Artificial Intelligence and Data Science (II Semester) students. It introduces Python programming with an emphasis on data analysis and data science applications.
The content is organized systematically with clear explanations, illustrative examples, and Python programs to support effective learning. This book aims to build a strong foundation in Python and essential data science techniques, making it useful for examinations, laboratory courses, and self-study.