Title: Python Fast Track: A Complete Guide to Rapidly Mastering and Applying Python Programming
Publisher: Morgan Kaufmann Publishers In
Publication Date: 2025
Language: English
ISBN 10: 044333823X
ISBN 13: 9780443338236
Binding: Soft cover
Condition: new

About this title

Synopsis

Python Fast Track: A Complete Guide to Rapidly Mastering and Applying Python Programming adopts a simplified writing style and provides clear explanations to ensure ease of understanding, making it an ideal resource for those new to Python. Starting with the basics, the book covers fundamental concepts such as variables, data types, printing and prompting, lists, dictionaries, tuples, control structure, functions, and object-oriented concepts. The book includes everything you need to understand and apply more advanced programming techniques such as file handling, exception handling, and regex.

This great resource is created especially for those who want to apply Python for their research and professional work in scientific computing, data analysis and machine learning, including chapters on NumPy and Pandas, two of the most popular Python application libraries. It demonstrates how to effectively master key applications of Python such as web development, software creation, task automation, and data analysis. The book covers data analysis and machine learning tasks that greatly benefit from Python, thanks to libraries such as TensorFlow and Keras that enable efficient coding.

Explains the core concepts of Python programming in a simplified way that is suitable for people who have little or no programming experience
Incorporates a wide range of simple, step-by-step examples and illustrations to highlight fundamental concepts so readers can learn easily
Provides practice exercises designed to expedite the learning process and provide hands-on application experience
Offers a wide range of functionality, from basic processes to complex operations, including chapters on Pandas and NumPy, two of the most popular Python libraries for data analysis

About the Authors

Dr. Sanjiban Sekhar Roy (Member, IEEE) is a distinguished academic and researcher, currently serving as a Professor in the School of Computer Science and Engineering at Vellore Institute of Technology (VIT). He earned his Ph.D. in 2016 from VIT, and from 2019 to 2020, he served as an Associate Researcher at Ton Duc Thang University, Vietnam. With an extensive academic career, Dr. Roy has published over 80 peer-reviewed articles in renowned international journals and conferences, making significant contributions to the fields of deep learning, advanced machine learning, and artificial intelligence. He has authored and co-authored several books published by Elsevier and CRC Press. In addition to these, he has edited 10 books with prestigious international publishers, demonstrating his expertise in computer science and technology. Dr. Roy holds two patents and is an active member of various doctoral committees, providing valuable guidance to Ph.D. scholars. He has mentored numerous postgraduate and undergraduate students, helping them navigate their research projects and academic pursuits. Beyond his research and teaching, Dr. Sanjiban Sekhar Roy has served as an editorial member for several highly respected journals and has edited special issues for prominent publications in his field. His research and academic contributions have been recognized globally, earning him the prestigious “Diploma of Excellence� Award for academic research from the Ministry of National Education, Romania, in 2019. Dr. Roy’s work continues to push the boundaries of artificial intelligence, particularly in deep learning and machine learning. His contributions to the academic community and his leadership in research have made a lasting impact on the advancement of these transformative technologies.

Arnav Chouhan is a final-year B.Tech student in VIT Vellore, specializing in computer science, software development, and cyber security. He is a co-author of the Python Fast Track book. Skilled in C, C++, Python, databases, data structures, algorithms, and cybersecurity. Arnav has maintained a CGPA above 9. His expertise in cybersecurity ensures the security of his projects, where he combines both theoretical knowledge and practical skills to develop high-quality software.

Naman Khera is a final-year B.Tech student in Computer Science at VIT Vellore. He is passionate about web development, data analytics, and competitive programming, he is proficient in C++, Python, and JavaScript, with a basic understanding of Java. Naman enjoys using code to solve real-world problems and optimize systems. Naman has maintained a 9 CGPA, he actively shares knowledge and believes teaching strengthens understanding. He has participated in several hackathons, honing skills in problem-solving, teamwork, and time management. Outside academics, Naman enjoys reading fiction, playing guitar, sports, and quizzing.

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