Name: Python for Water and Environment
Price: 458.15 RON
Availability: OnlineOnly
Author: Anil Kumar
ISBN: 9789819994106

Python for Water and Environment: Innovations in Sustainable Technologies and Computing

Anil Kumar

Manabendra Saharia

The Part I, "Practical Python for a Water and Environment Professional," guides readers through setting up a scientific computing environment and conducting exploratory data analysis and visualization using reproducible workflows.

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Cuprins

Data Analysis in the Water and Environment.- Python Environment and Basics.- Python Essentials.- Exploratory Analysis of Hydrological Data.- Graphical Hydrological Data Analysis.- Curve Fitting and Regression Analysis.- Hydrological Time Series Analysis.- Common Hypothesis Testing.- Uncertainty Estimation.- Introduction.- Surface Flow Models.- Subsurface Flow Models.- Transport Phenomena.- Contaminant Transport Models.- Conclusion.

Notă biografică

Dr. Mitul Kumar Ahirwal received his B.E. in Computer Science & Engineering from SATI, Vidisha, (M.P) (Affiliated to RGPV, Bhopal, India) in 2009 and completed his M. Tech in Computer Technology from National Institute of Technology, Raipur, India in 2011. He completed his Ph.D. from Computer Science and Engineering Department, PDPM IIITDM, Jabalpur, India. Presently, he is Assistant Professor in the Department of Computer Science and Engineering at, Maulana Azad National Institute of Technology Bhopal, India. He has several national and International publications in his credit. He is also working on several research projects funded by different agencies. His research area is Biomedical Signal Processing, Swarm Optimization, Brain Computer Interface and Healthcare System. He is associated as a reviewer with various reputed journals Dr. Anil Kumar has received the B.E. from Army Institute of Technology (AIT) Pune, Pune University in Electronic & Telecommunication Engineering and M. Tech and Ph.D. Degrees from Indian Institute of Technology Roorkee, India in 2002, 2006 and 2010, respectively. After doctoral work, he has joined as an Assistant Professor in Electronic & Communication Engineering Department, Indian Institute of Information Technology Design and Manufacturing, Jabalpur, India in 2009. His academic and research interest is design of Digital Filters & Multirate Filter Bank, Multirate Signal Processing, Biomedical Signal Processing, Image Processing, and Speech Processing. He has published more than 150 research articles in the above areas in various Journals and Conferences etc. Dr. Girish Kumar Singh received B.Tech. degree from G. B. Pant University of Agriculture and Technology, Pantnagar, India, in 1981, and Ph.D. degree from Banaras Hindu University, Varanasi, India, in 1991, both in Electrical Engineering. He worked in industry for nearly five and a half years. Currently, he is Professor in Department of Electrical Engineering, IIT Roorkee, India. He is Associate Editor in IET Renewable Power Generation Journal. He has also served as Visiting Associate Professor, Pohang University of Science and Technology, Pohang, South Korea, Visiting Professor, Middle East Technical University, Ankara, Turkey and Visiting Professor, University of Malaya, Kuala Lumpur, Malaysia. His academic and research interest is design and analysis of electrical machines, biomedical signal processing, and renewable energy and power quality. He has coordinated a number of research projects sponsored by the CSIR and UGC, Government of India. Prof. Singh received the Pt. Madan Mohan Malaviya Memorial Medal and the Certificate of Merit Award 2001-2002 of The Institution of Engineers (India). Dr. Singh secured number one position in India, with world ranking 250 (Top 0.15%) in subject area 'Networking and Telecommunications', as per the independent study done and published by Stanford University,USA, in 2020.

Textul de pe ultima copertă

This textbook delves into the practical applications of surface and groundwater hydrology, as well as the environment. The Part I, "Practical Python for a Water and Environment Professional," guides readers through setting up a scientific computing environment and conducting exploratory data analysis and visualization using reproducible workflows. The Part II, "Statistical Modeling in Hydrology," covers regression models, time series analysis, and common hypothesis testing. The Part III, "Surface and Subsurface Water," illustrates the use of Python in understanding key concepts related to seepage, groundwater, and surface water flows. Lastly, the Part IV, "Environmental Applications," demonstrates the application of Python in the study of various contaminant transport phenomena.