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Python Essentials for Biomedical Data Analysis: An Introductory Textbook

Kazi, Julhash U
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Available: Yes*
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Book Information
Edition: 1st
Publisher: Springer Nature
ISBN: 3-031-85600-7 (3031856007)
ISBN-13: 978-3-031-85600-6 (9783031856006)
Binding: E E Book + ProQuest Ebook Central
Copyright: 2025
Weight: 0.00 Lbs.
Subject Class: SCI (Medical Science and Research)
Remarks:
This Title is Not Yet Published, Scheduled to Release 12/01/25
Return Policy: Non-Returnable.
   
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Class Specifications
Abstract: This introductory book is a beginner-friendly resource that empowers you to harness Python programming for exploring and understanding biomedical data. In todays data-driven world, the ability to analyze and interpret complex datasets is a vital skillespecially in biomedicine, where data-driven insights can lead to groundbreaking advancements in health and medicine. Starting from scratch, this book introduces Pythons fundamental syntax and guides you through its powerful applications in real-world biomedical research. Starting with the basics, this book offers a gentle introduction to Pythons syntax and core concepts, making it accessible even if it is your first encounter with coding. You will discover that Python is more than just a toolit becomes an essential partner in uncovering the stories within your data. Our primary aim is to equip you with a foundational understanding of Python, enabling you to run pre-written programs effectively and create simple pipelines for executing sequences of applications. You will engage with practical examples and exercises inspired by real-world biomedical scenarios, giving you realistic insights into the challenges and successes you may encounter in your data analysis tasks. Whether you are taking your first steps into data analysis or looking to expand your current skills, this introductory guide is ideal for graduate students, emerging researchers, and professionals in the biomedical field who are new to programming or Python. Python Essentials for Biomedical Data Analysis serves as a valuable and inspiring resource throughout your journey, unlocking the expansive potential of Python in biomedical research.
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