Python Programming for Artificial Intelligence Applications in Automation and Data Science

Prof. Dr. S. T. Patil, Dr. Madhubalan Selvaraju, Dr.Naramula Venkatesh, Dr. Deepak Kumar

Indexed In: Google scholar

Release Date: 2025 | Copyright:©2025 | Pages: 422

DOI: To be updated

ISBN10: 0 | ISBN13: 0

Hardcover:$300

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"Python Programming for Artificial Intelligence Applications in Automation and Data Science" provides a comprehensive guide to using Python for developing AI-driven solutions in automation and data science. The book covers essential Python libraries such as TensorFlow, Keras, Pandas, and Scikit-learn to build intelligent systems for automation, predictive analytics, and data processing. It explores key AI concepts like machine learning, deep learning, natural language processing, and computer vision, offering hands-on examples and real-world applications. This book is ideal for data scientists, engineers, and developers looking to harness Python for AI solutions in modern industries.

This book offers a practical approach to Python programming in the context of Artificial Intelligence (AI) applications for automation and data science. The first section introduces Python fundamentals, covering essential libraries and tools for AI, including NumPy, Pandas, Matplotlib, and Scikit-learn. It also provides a detailed overview of machine learning algorithms and data preprocessing techniques. In the second section, the book delves into more advanced AI concepts such as deep learning with TensorFlow and Keras, reinforcement learning, and natural language processing (NLP). It explores the use of Python for automating processes in manufacturing, supply chain management, and business analytics, showcasing how AI can optimize operations. The final part focuses on data science applications, including predictive modeling, data visualization, and big data analytics. Through hands-on examples, the book demonstrates how Python can be used to tackle real-world problems in automation and data science, providing readers with the skills to implement AI-powered solutions in various industries. Whether you are a beginner or an experienced programmer, this book serves as a comprehensive resource to learn Python programming for AI applications, helping you build smarter, automated systems and data-driven insights.

Table Of Contents

Detailed Table Of Contents


Chapter 1

Introduction to Python Programming for Artificial Intelligence and Machine Learning Workflows

S. Jeevitha, H. Umesh Prabhu, Arun Kumar M

(Pages:36)

Chapter 2

Python Data Structures and Algorithms for Efficient AI Computations

Nita Thakare, Sowmya V, A.Regita Thangam

(Pages:36)

Chapter 4

Data Handling and Visualization with Pandas Matplotlib and Seaborn for AI Projects

Shrunkhala Satish Wankhede, N. Parvin, Ganesh s

(Pages:39)

Chapter 5

Supervised and Unsupervised Learning Using Scikit Learn for Predictive Analytics

B. Angalaparameswari, P. Murugeswari, Kamalkumar T

(Pages:32)

Chapter 6

Building and Deploying Deep Learning Models Using TensorFlow and Keras in Python

Dinesh V Jamthe, Palabindela Swetha, Punam pankaj Manwatkar

(Pages:33)

Chapter 7

Reinforcement Learning Algorithms in Python for Adaptive Control Systems

R. Rajesh Kanna, Ashwini Pravin Navghane, C. B. VENKATRAMANAN

(Pages:37)

Chapter 8

Python Scripting for Robotic Process Automation and Industrial Task Management

Shrishailappa Patil, B. Persis Urbana Ivy, S. Senthil Kumar

(Pages:33)

Chapter 9

Automating Repetitive Tasks with Python and OpenCV in Image and Video Processing

J. JUSLIN SEGA, Snehal H. Chaflekar, M. ARJUNKUMAR

(Pages:32)

Chapter 10

Integration of Python with Raspberry Pi and Arduino for AI Based Physical Automation

Sneha. R, Shrishailappa Patil, Shaik Mabasha,

(Pages:35)

Chapter 11

Natural Language Processing and Text Mining Using NLTK and SpaCy for Sentiment and Topic Analysis

Pranali L. Katore, Archana Vasudeo Bhoyar, B. Persis Urbana Ivy

(Pages:36)

Chapter 12

Big Data Handling and Distributed AI Workloads Using PySpark and Dask Frameworks

Vineeth V V, B.Persis Urbana Ivy , S.Senthil Kumar

(Pages:33)

Chapter 13

AI Based Anomaly Detection in Cybersecurity Using Python and Deep Autoencoders

R. Kranthi Kumar, I. Parvin Begum, Anusha C

(Pages:34)

Chapter 14

Creating AI Powered Web Applications with Flask Django and Streamlit

Archana Anandrao Nikose, Sneha Sujit Dhande, B. Persis Urbana Ivy

(Pages:31)

Chapter 15

Model Deployment and API Integration Using FastAPI and Docker for AI Services

Ashwini N. Tikle, Pranali L. Katore, S. Senthil Kumar

(Pages:38)


Contributions


Prof. Dr. S. T. Patil Completed B.E. Electronics from Marathwada University, Aurangabad in 1988. M.Tech. Computer Science and Engineering from Vishveshwaraya Technological University, Belgavi in August 2003. Ph.D. Computer Engineering and Technology from Bharati Vidyapeeth Deemed University, Pune in August 2009. Having 35 years of experience in academic, administration and research. Presently working as a Professor in computer engineering at Walchand Institute of Technology, Solapur (India). Recipient of Researcher of the year Award, Dr. APJ Abdul Kalam lifetime Achievement Award, best teacher award, Best Guide Award and fetched research grants from AICTE, New Delhi three times under research promotion scheme. More than 100 research papers, 12 Books and 19 Patents to his credit. Mail ID: [email protected]

Dr. Madhubalan Selvaraju is an Assistant Professor in the Department of Electrical and Electronics Engineering at Sona College of Technology, Salem, Tamil Nadu, India. He received his B.E. in Electrical and Electronics Engineering, M.E. in Power Systems Engineering, and Ph.D. in Electrical Engineering from Anna University, Tamil Nadu, India. His research expertise spans power systems, renewable energy, artificial intelligence, automation, intelligent control, and energy management. Dr. Madhubalan’s work focuses on integrating AI-driven automation and sustainable technologies to enhance the efficiency and reliability of modern electrical systems. He can be contacted at Mail ID: [email protected]

Dr.Naramula Venkatesh Currently working as Assistant Professor in School of Computer Science and Artificial Intelligence, CSE at SR University,Warangal-506371. He Finished Ph.D. in Computer Science and Engineering from Saveetha Institute of Medical and Technical Science, Saveetha University, Chennai, Tamil Nadu. Master of Technology and Bachelor of Technology in CSE from JNTUH Hyderabad . His Research interest in Data mining,IoT, Data Science, Artificial Intelligence and Machine Learning, Data Analytics. Mail ID: [email protected]

Dr. Deepak Kumar A is a distinguished academician and researcher with a strong educational background in Computer Science and Engineering. He holds a Bachelor of Engineering degree in Information Technology, a Master of Engineering degree in Computer Science and Engineering, and a PhD in Computer Science and Engineering, all from the prestigious Sathyabama Institute of Science and Technology, Chennai. With over 11 years of experience in teaching and research, Dr. Deepak Kumar currently serves as an Assistant Professor in the Department of Computer Science and Engineering at St. Joseph's Institute of Technology, OMR, Chennai, India. His academic expertise has been recognized through numerous publications, including 20 papers in top-tier national and international journals and conferences, often in collaboration with esteemed international authors.

Dr. Deepak Kumar is also a prolific inventor, holding four Indian patents, and serves as a reviewer for several reputable journals. His research interests span the cutting-edge fields of medical imaging, machine learning, and artificial intelligence, demonstrating his commitment to advancing knowledge and innovation. This version uses more formal language and highlights Dr. Kumar's achievements in a concise and impactful way, making it suitable for academic or professional settings. Mail ID: [email protected]

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