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The present text book of Introduction to Computational Physics is an essential and simple version for T.Y.B.Sc. Students to understand the basic physics using computational methods. This text book is...

  • Name : Introduction to Computational Physics - PH-320 (SEC)
  • Vendor : Prashant Publication
  • Type : PH-320 (SEC)
  • Manufacturing : June 2026
  • Total Pages : 118 Pages
  • Barcode : 9789377760403

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Introduction to Computational Physics - PH-320 (SEC)
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The present text book of Introduction to Computational Physics is an essential and simple version for T.Y.B.Sc. Students to understand the basic physics using computational methods. This text book is in accordance with the new syllabus of NEP pattern of T.Y.B.Sc. Physics recommended by Kavayitri Bahinabai Chaudhari North Maharashtra University, Jalgaon. The numerical and computational methods are needed for understanding various fields of physics such as Quantum Mechanics, Classical Mechanics, Electrodynamics, Mathematical Methods for Physics, Statistical and Thermal Physics, etc.

CHAPTER 1....................................................................1
Getting Started with Python
1.0 Introduction to programming
1.1 Version of Python
1.2 Constants
1.3 Variables and data types
1.4 Operators and expressions
1.5 Modules
1.6 I/O statements
1.7 Iterables
1.8 Compound statements
1.9 Lists
1.10 Set
1.11 Tuples
1.12 Classes
1.13 Dictionaries and strings
1.14 Strings
1.15 Multiline Strings
1.16 The Slice Operator
1.17 Basic ideas of object oriented programmings

CHAPTER 2...............................................................34
NumPy
2.1 Introduction
2.2 NumPy Arrays
2.3 Indexing Array
2.4 Iterating Arrays
2.5 Creating Arrays
2.6. Basic Operations of NumPy Arrays

CHAPTER 3...................................................................57
Roots of Equations, Monte Carlo Simulation and Differentiation
3.1 Roots of equations using numerical methods
3.2 Monte Carlo Simulation
3.3 Differentiation using Numerical Methods

CHAPTER 4.....................................................................92
Numerical Integration
4.0 Introduction
4.1 Trapezoidal Rule: ( n = 1 )
4.2 Simpson’s 1/3 Rule: (n = 2)
4.3 Ordinary Differential Equations (ODE)

REFERENCES..................................................................112

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