A student's guide to Python for physical modeling / Jesse M. Kinder and Philip Nelson.
Material type: TextLanguage: English Description: xiii, 139 pages ; 27 cmISBN:- 9780691170503
- 9780691169583
- 9780691170503
- Python for physical modeling
- 005.133 23 KIN
Item type | Current library | Collection | Call number | Status | Notes | Date due | Barcode |
---|---|---|---|---|---|---|---|
General Books | CUTN Central Library Generalia | Non-fiction | 005.133 KIN (Browse shelf(Opens below)) | Checked out to Ravindran P (PA1803) | Transferred to Dr.P.Ravindran | 20/05/2020 | 31121 |
Browsing CUTN Central Library shelves, Shelving location: Generalia, Collection: Non-fiction Close shelf browser (Hides shelf browser)
005.133 KAM Introduction to data structures in C | 005.133 KAM Programming and Data Structures | 005.133 KEL A Book on C : | 005.133 KIN A student's guide to Python for physical modeling / | 005.133 KRU Data structures and program design in C | 005.133 KUL Problem solving and python programming | 005.133 LIA Introduction to programming using Python |
Python is a computer programming language that is rapidly gaining popularity throughout the sciences. A Student's Guide to Python for Physical Modeling aims to help you, the student, teach yourself enough of the Python programming language to get started with physical modeling. You will learn how to install an open-source Python programming environment and use it to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; and simulation. No prior programming experience is assumed. This tutorial focuses on fundamentals and introduces a wide range of useful techniques, including: * Basic Python programming and scripting* Numerical arrays* Two- and three-dimensional graphics* Monte Carlo simulations* Numerical methods, including solving ordinary differential equations* Image processing* Animation Numerous code samples and exercises--with solutions--illustrate new ideas as they are introduced. Web-based resources also accompany this guide and include code samples, data sets, and more.
Getting started with Python -- Structure and control -- Data in, results out -- First computer lab -- More Python constructions -- Second computer lab -- Still more techniques -- Third computer lab.
Includes bibliographical references (pages 133-134) and index.
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