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 #  AuthorTitleAccn#YearItem Type Claims
1 Gezerlis, Alex Numerical Methods in Physics with Python 027104 2020 Book  
2 Pagonis, Vasilis Luminescence Signal Analysis Using Python I12525 2022 Book  
3 Schmidt, Wolfram Numerical Python in Astronomy and Astrophysics I11649 2021 eBook  
4 Javarone, Marco Alberto Statistical Physics and Computational Methods for Evolutionary Game Theory I10011 2018 eBook  
5 Tariq Rashid Make your own neural network PP0024 2016 Book  
6 Jack Stouffer Mastering flask : gain expertise in flask to create dynamic and powerful web applications PP0016 2015 Book  
7 Sebastian Raschka Python machine learning: Unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analysis PP0017 2015 Book  
8 Hans Petter Langtangen Python scripting for computational science 025413 2008 Book  
9 Mark Lutz Programming python 025244 2010 Book  
10 Mark Lutz Learning python: Powerful Object-Oriented Programming 025241 Book  
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1.    
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TitleNumerical Methods in Physics with Python
Author(s)Gezerlis, Alex
PublicationUK, Cambridge University Press, 2020.
Description586pp : PB
ISBN,Price978-1108738934 : £ 39.99
Classification519.6: 681.3.06 PYTHON
Keyword(s)1. Numerical Methods in Phyiscs 2. PYTHON
Item TypeBook

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027104     On Shelf    

2.     
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TitleLuminescence Signal Analysis Using Python
Author(s)Pagonis, Vasilis
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2022.
DescriptionXIX, 396 p. 140 illus., 136 illus. in color : online resource
Abstract NoteThis book compiles and presents a complete package of open-access Python software code for luminescence signal analysis in the areas of radiation dosimetry, luminescence dosimetry, and luminescence dating. Featuring more than 90 detailed worked examples of Python code, fully integrated into the text, 16 chapters summarize the theory and equations behind the subject matter, while presenting the practical Python codes used to analyze experimental data and extract the various parameters that mathematically describe the luminescence signals. Several examples are provided of how researchers can use and modify the available codes for different practical situations. Types of luminescence signals analyzed in the book are thermoluminescence (TL), isothermal luminescence (ITL), optically stimulated luminescence (OSL), infrared stimulated luminescence (IRSL), timeresolved luminescence (TR) and dose response of dosimetric materials. The open-access Python codes are available at GitHub. The book is well suited to the broader scientific audience using the tools of luminescence dosimetry: physicists, geologists, archaeologists, solid-state physicists, medical physicists, and all scientists using luminescence dosimetry in their research. The detailed code provided allows both students and researchers to be trained quickly and efficiently on the practical aspects of their work, while also providing an overview of the theory behind the analytical equations
ISBN,Price9783030967987
Keyword(s)1. EBOOK 2. EBOOK - SPRINGER 3. MATHEMATICAL PHYSICS 4. OPTICAL SPECTROSCOPY 5. PYTHON 6. Python (Computer program language) 7. QUANTUM PHYSICS 8. Radiation dosimetry 9. Radiation Dosimetry and Protection 10. Theoretical, Mathematical and Computational Physics
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I12525     On Shelf    

3.     
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TitleNumerical Python in Astronomy and Astrophysics : A Practical Guide to Astrophysical Problem Solving
Author(s)Schmidt, Wolfram;V??lschow, Marcel
PublicationCham, Springer International Publishing, 2021.
DescriptionX, 250 p. 55 illus., 50 illus. in color : online resource
Abstract NoteThis book provides a solid foundation in the Python programming language, numerical methods, and data analysis, all embedded within the context of astronomy and astrophysics. It not only enables students to learn programming with the aid of examples from these fields but also provides ample motivation for engagement in independent research. The book opens by outlining the importance of computational methods and programming algorithms in contemporary astronomical and astrophysical research, showing why programming in Python is a good choice for beginners. The performance of basic calculations with Python is then explained with reference to, for example, Kepler???s laws of planetary motion and gravitational and tidal forces. Here, essential background knowledge is provided as necessary. Subsequent chapters are designed to teach the reader to define and use important functions in Python and to utilize numerical methods to solve differential equations and landmark dynamical problems in astrophysics. Finally, the analysis of astronomical data is discussed, with various hands-on examples as well as guidance on astronomical image analysis and applications of artificial neural networks
ISBN,Price9783030703479
Keyword(s)1. ASTRONOMY 2. Astronomy, Cosmology and Space Sciences 3. EBOOK 4. EBOOK - SPRINGER 5. MATHEMATICAL PHYSICS 6. NUMERICAL ANALYSIS 7. PYTHON 8. Python (Computer program language) 9. Theoretical, Mathematical and Computational Physics
Item TypeeBook
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I11649     On Shelf    

4.     
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TitleStatistical Physics and Computational Methods for Evolutionary Game Theory
Author(s)Javarone, Marco Alberto
PublicationCham, Springer International Publishing, 2018.
DescriptionIX, 74 p. 27 illus., 25 illus. in color : online resource
Abstract NoteThis book presents an introduction to Evolutionary Game Theory (EGT) which is an emerging field in the area of complex systems attracting the attention of researchers from disparate scientific communities. EGT allows one to represent and study several complex phenomena, such as the emergence of cooperation in social systems, the role of conformity in shaping the equilibrium of a population, and the dynamics in biological and ecological systems. Since EGT models belong to the area of complex systems, statistical physics constitutes a fundamental ingredient for investigating their behavior. At the same time, the complexity of some EGT models, such as those realized by means of agent-based methods, often require the implementation of numerical simulations. Therefore, beyond providing an introduction to EGT, this book gives a brief overview of the main statistical physics tools (such as phase transitions and the Ising model) and computational strategies for simulating evolutionary games (such as Monte Carlo algorithms on lattices). ??This book will appeal to students and researchers in this burgeoning field of complex systems
ISBN,Price9783319702056
Keyword(s)1. Computational Social Sciences 2. Data-driven Science, Modeling and Theory Building 3. EBOOK 4. EBOOK - SPRINGER 5. ECONOPHYSICS 6. Evolutionary Biology 7. GAME THEORY 8. Game Theory, Economics, Social and Behav. Sciences 9. PYTHON 10. Python (Computer program language) 11. Social sciences???Computer programs 12. Social sciences???Data processing 13. Sociophysics 14. STATISTICAL PHYSICS 15. Statistical Physics and Dynamical Systems
Item TypeeBook
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I10011     On Shelf    

5.     
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TitleMake your own neural network
Author(s)Tariq Rashid
PublicationUSA, Create Space Publisher, 2016.
Description222p
ISBN,Price9781530826605 : Rs.2723.00
Classification681.3.06PYTHON
Keyword(s)1. NEURAL NETWORKS 2. NKN PROJECT 3. PYTHON
Item TypeBook

Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
PP0024   681.3.06PYTHON/RAS/PP0024  Issued NKN: NKN Project 31/Mar/2019

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6.     
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TitleMastering flask : gain expertise in flask to create dynamic and powerful web applications
Author(s)Jack Stouffer
PublicationBirmingham, UK, Packt Publishing Ltd., 2015.
Descriptionxii, 264p
ISBN,Price9781784393656 : 799.00
Classification681.324FLASK
Keyword(s)1. MASTERING FLASK 2. NKN PROJECT 3. PYTHON 4. WEB APPLICATION
Item TypeBook

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Accession#  Call#StatusIssued ToReturn Due On Physical Location
PP0016   681.324FLASK/STO/PP0016  Issued NKN: NKN Project 23/Jul/2025

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7.     
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TitlePython machine learning: Unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analysis
Author(s)Sebastian Raschka
PublicationBirmingham,UK, Packt Publishing Ltd., 2015.
Descriptionxiii,425p
ISBN,Price9781783555130 : 1199.00
Classification681.3.06
Keyword(s)1. NKN PROJECT 2. PYTHON 3. PYTHON MACHINE LEARNING
Item TypeBook

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Accession#  Call#StatusIssued ToReturn Due On Physical Location
PP0017   681.3.06PYTHON/RAS/PP0017  Issued NKN: NKN Project 02/Jan/2024

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8.     
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TitlePython scripting for computational science
Author(s)Hans Petter Langtangen
Edition3rd ed.
PublicationBerlin, Springer-Verlag, 2008.
Descriptionxxiv, 750
Series(Texts in Computational Science and Engineering)
ISBN,Price978350739159 : Euro 49.95(HB)
Classification681.3.06PYTHON
Keyword(s)PYTHON
Item TypeBook

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Accession#  Call#StatusIssued ToReturn Due On Physical Location
025413   681.3.06PYTHON/LAN/025413  On Shelf    

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9.     
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TitleProgramming python
Author(s)Mark Lutz
Edition4th
PublicationBeijing, O'Reilly Media, 2010.
Descriptionxxxix, 1584p.
ISBN,Price9780596158101 : Rs. 1100.00(HB)
Classification681.3.06PYTHON
Keyword(s)PYTHON
Item TypeBook

Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
025244   681.3.06PYTHON/LUTZ/025244  On Shelf    
025245   681.3.06PYTHON/LUTZ/025245  On Shelf    

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TitleLearning python: Powerful Object-Oriented Programming
Author(s)Mark Lutz
Edition5th
PublicationBeijing, O'Reilly Media,
Descriptionl, 1540p.
ISBN,Price9781449355739 : Rs. 1200.00(HB)
Classification681.3.06PYTHON
Keyword(s)PYTHON
Item TypeBook

Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
025241   681.3.06PYTHON/LUTZ/025241  On Shelf    
025242   681.3.06PYTHON/LUTZ/025242  On Shelf    

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