Python for Bioinformatics | Using machine learning for drug discovery | Dr Parul Verma, Dr Shahnaz Fatima | New Editions | BPB Publications ( English Medium )

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Python for Bioinformatics | Using machine learning for drug discovery | Dr Parul Verma, Dr Shahnaz Fatima | New Editions | BPB Publications ( English Medium )


"Python for Bioinformatics | Using machine learning for drug discovery" is a comprehensive guide designed to help students, researchers, and professionals in the field of bioinformatics harness the power of Python programming language and machine learning techniques for drug discovery. Authored by renowned experts Dr. Parul Verma and Dr. Shahnaz Fatima, this new edition from BPB Publications offers a hands-on approach to mastering Python for bioinformatics applications. The book begins with an introduction to Python programming basics and gradually progresses to more advanced topics such as data manipulation, visualization, and machine learning algorithms. Readers will learn how to analyze biological data sets, perform predictive modeling, and develop algorithms for drug discovery using Python libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, and TensorFlow. Key features of "Python for Bioinformatics | Using machine learning for drug discovery" include: - Step-by-step instructions on setting up Python environment and installing necessary libraries - Practical examples and case studies from the field of bioinformatics - Exercises at the end of each chapter to reinforce learning - Tips and tricks for optimizing code performance - Guidance on best practices for data handling and analysis Whether you are a beginner looking to learn Python programming or an experienced bioinformatician seeking to enhance your skills in machine learning, this book provides a valuable resource for leveraging the latest tools and techniques in the field. Don't miss out on this essential guide to using Python for bioinformatics and machine learning in drug discovery!

Publisher ‏ : ‎ Bpb Publications, Publication date ‏ : ‎ 7 December 2024, Language ‏ : ‎ English, Print length ‏ : ‎ 256 pages, ISBN-10 ‏ : ‎ 9365897769, ISBN-13 ‏ : ‎ 978-9365897760, Item Weight ‏ : ‎ 445 g, Dimensions ‏ : ‎ 19.05 x 1.47 x 23.5 cm, Country of Origin ‏ : ‎ India

Python for Bioinformatics by Dr Parul Verma and Dr Shahnaz Fatima is a practical guide designed to help readers combine programming skills with biological data analysis. This book provides a comprehensive introduction to bioinformatics using Python, making it an essential resource for students, researchers, and professionals in biology, biotechnology, and computer science.

The book begins with the fundamentals of Python programming, covering essential topics such as string manipulation, file handling, regular expressions, and object-oriented programming. These foundational concepts help readers build the necessary skills to work with biological datasets.

A key highlight of this book is its focus on applying Python to real-world bioinformatics problems. Readers will learn how to analyze biological sequences, perform data processing, and work with various biological data formats. The book introduces Biopython, a powerful library used for sequence alignment, parsing biological data, and accessing online databases.

The book also explores important bioinformatics techniques such as sequence alignment, cluster analysis, and phylogenetic analysis. These methods are crucial for understanding genetic relationships and evolutionary patterns.

In addition, the book covers data visualization using libraries like Matplotlib. Readers will learn how to present complex biological data in a clear and meaningful way, helping in better analysis and interpretation.

Another important aspect of the book is the inclusion of machine learning concepts for bioinformatics applications, including drug discovery and data-driven research. This modern approach helps readers understand how computational methods are transforming biological sciences.

The book includes hands-on mini projects that allow readers to apply their knowledge to practical scenarios. These projects reinforce learning and help build real-world problem-solving skills.

Written in a clear and structured manner, this book is suitable for beginners as well as intermediate learners. It is ideal for anyone looking to explore the intersection of biology and programming.

Overall, Python for Bioinformatics is a valuable resource for mastering biological data analysis using Python. It equips readers with the skills needed to work on modern bioinformatics challenges and research projects.

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Product Details

SKU / BOOK Code:	PYTHON-BIOINFORMATICS-2024
Publisher:	BPB Publications
Author:	Dr Parul Verma Dr Shahnaz Fatima
Binding Type:	Paperback
No. of Pages:	256
ISBN-10:	9365897769
ISBN-13:	978-9365897760
Edition:	Standard Edition
Language:	English Medium
Publish Year:	2024-12
Weight (g):	445
Product Condition:	New
Reading Age:	Above 18 Years
Country of Origin:	India
Genre:	Computers & Internet
Manufacturer:	BPB Publications
Importer:	BPB Publications
Packer:	Fullfilled by Supplier

Product Description

Python for Bioinformatics | Using machine learning for drug discovery | Dr Parul Verma, Dr Shahnaz Fatima | New Editions | BPB Publications ( English Medium )


"Python for Bioinformatics | Using machine learning for drug discovery" is a comprehensive guide designed to help students, researchers, and professionals in the field of bioinformatics harness the power of Python programming language and machine learning techniques for drug discovery. Authored by renowned experts Dr. Parul Verma and Dr. Shahnaz Fatima, this new edition from BPB Publications offers a hands-on approach to mastering Python for bioinformatics applications. The book begins with an introduction to Python programming basics and gradually progresses to more advanced topics such as data manipulation, visualization, and machine learning algorithms. Readers will learn how to analyze biological data sets, perform predictive modeling, and develop algorithms for drug discovery using Python libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, and TensorFlow. Key features of "Python for Bioinformatics | Using machine learning for drug discovery" include: - Step-by-step instructions on setting up Python environment and installing necessary libraries - Practical examples and case studies from the field of bioinformatics - Exercises at the end of each chapter to reinforce learning - Tips and tricks for optimizing code performance - Guidance on best practices for data handling and analysis Whether you are a beginner looking to learn Python programming or an experienced bioinformatician seeking to enhance your skills in machine learning, this book provides a valuable resource for leveraging the latest tools and techniques in the field. Don't miss out on this essential guide to using Python for bioinformatics and machine learning in drug discovery!

Publisher ‏ : ‎ Bpb Publications, Publication date ‏ : ‎ 7 December 2024, Language ‏ : ‎ English, Print length ‏ : ‎ 256 pages, ISBN-10 ‏ : ‎ 9365897769, ISBN-13 ‏ : ‎ 978-9365897760, Item Weight ‏ : ‎ 445 g, Dimensions ‏ : ‎ 19.05 x 1.47 x 23.5 cm, Country of Origin ‏ : ‎ India

Python for Bioinformatics by Dr Parul Verma and Dr Shahnaz Fatima is a practical guide designed to help readers combine programming skills with biological data analysis. This book provides a comprehensive introduction to bioinformatics using Python, making it an essential resource for students, researchers, and professionals in biology, biotechnology, and computer science.

The book begins with the fundamentals of Python programming, covering essential topics such as string manipulation, file handling, regular expressions, and object-oriented programming. These foundational concepts help readers build the necessary skills to work with biological datasets.

A key highlight of this book is its focus on applying Python to real-world bioinformatics problems. Readers will learn how to analyze biological sequences, perform data processing, and work with various biological data formats. The book introduces Biopython, a powerful library used for sequence alignment, parsing biological data, and accessing online databases.

The book also explores important bioinformatics techniques such as sequence alignment, cluster analysis, and phylogenetic analysis. These methods are crucial for understanding genetic relationships and evolutionary patterns.

In addition, the book covers data visualization using libraries like Matplotlib. Readers will learn how to present complex biological data in a clear and meaningful way, helping in better analysis and interpretation.

Another important aspect of the book is the inclusion of machine learning concepts for bioinformatics applications, including drug discovery and data-driven research. This modern approach helps readers understand how computational methods are transforming biological sciences.

The book includes hands-on mini projects that allow readers to apply their knowledge to practical scenarios. These projects reinforce learning and help build real-world problem-solving skills.

Written in a clear and structured manner, this book is suitable for beginners as well as intermediate learners. It is ideal for anyone looking to explore the intersection of biology and programming.

Overall, Python for Bioinformatics is a valuable resource for mastering biological data analysis using Python. It equips readers with the skills needed to work on modern bioinformatics challenges and research projects.

Search Keywords - Python for Bioinformatics book, Machine learning in drug discovery, Dr Parul Verma books, Dr Shahnaz Fatima publications, New editions of Python books, BPB Publications bioinformatics titles, Best books on using Python in bioinformatics, Drug discovery algorithms with Python, How to learn bioinformatics with Python, Top resources for bioinformatics students, Advanced programming techniques in bioinformatics, Data analysis in drug development using Python, Bioinformatician's guide to machine learning, Latest trends in computational biology, Recommended books for pharmaceutical researchers, Artificial intelligence applications in biotechnology, Online courses on bioinformatics programming, Using TensorFlow for molecular modeling, Programming languages for genomics research, Where to buy "Python for Bioinformatics" book 1. Python for Bioinformatics book, 2. Machine learning for drug discovery, 3. Dr Parul Verma, 4. Dr Shahnaz Fatima, 5. New edition Python for Bioinformatics book, 6. BPB Publications books, 7. Best bioinformatics books, 8. Python programming for biologists, 9. Drug discovery using machine learning algorithms, 10. Bioinformatics and computational biology textbooks

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