"It was a wonderful experience interacting with you and appreciate the way you have planned and executed the whole publication process within the agreed timelines.”
Subrat SaurabhAuthor of Kuch Woh Pal
The Python Data Science Handbook provides a reference to the breadth of computational and statistical methods that are central to data-intensive science, research, and discovery. People with a programming background who want to use Python effectively for data science tasks will learn how to face a variety of problems: e.g., how can I read this data format into my script? How can I manipulate, transform, and clean this data? How can I visualize this type of data? How can I use this data to gain insight, answer questions, or to build statistical or machine learning models? This book is a reference for day-to-day Python-enabled data science, covering both the computational and statistical skills necessary to effectively work with . The discussion is augmented with frequent example applications, showing how the wide breadth of open source Python tools can be used together to analyze, manipulate, visualize, and learn from data.
Dr. K Abhimanyu Kumar Patro, B.s. Prakash, Ms. M. Gayathri, Dr. Shrikant Zade, S. Mohana Saranya
Dr. K Abhimanyu Kumar Patro is working as an Assistant Professor in the Department of Mechatronics, Manipal Institute of Technology, Manipal Academy of Higher Education (MAHE), Manipal, Karnataka.
B.S. Prakash Working as an Assistant Professor in the Department of CSE, Vivekanandha College of Engineering for Women, Elayampalayam, Tiruchengode.
Ms. M. Gayathri has working as an Assistant professor in Mahendra college of engineering, Minnampalli, Attur main road, Salem, Tamilnadu.
Dr. Shrikant Zade is currently working as Associate Professor and Dean (IQAC) in G. H. Raisoni Institute of Engineering and Technology, Nagpur.
S. Mohana Saranya working as an Assistant Professor in the Department of CSE, Kongu Engineering College, Perundurai, Erode.
