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Programming in Python

An interactive way to introduce the world of Python Programming KEY FEATURES Detailed comparisons and differentiation of python language from other most popular languages C/C++/Java. Authentic and extensive set of programming illustrations in every chapter of the book. Broad study on all the programming constructs of the python programming language such as native data types, looping, decision making, exception handling, file handling etc. Broad study of Python Object Oriented Programming features with illustrations. Numerous review questions and exercises at the end of every chapter. DESCRIPTION This Book is meant for wide range of readers who wish to learn the basics of Python programming language. It can be helpful for students, programmers, researchers, and software developers. The basic concepts of python programming are dealt in detail. The various concepts of python language such as object-oriented features, operators, native data types, control structures, functions, exception handling, file handling, etc are discussed in detail with the authentic programming illustration of each. presently, python programming is a hot topic among academicianÕs researchers, and program developers. As a result, the book is designed to give an in-depth knowledge of programming in python. This book can be used as handbook as well as a guide for students of all computer science stream at any grade beginning from 10+1 to Research in PhD. To conclude, we hope that the readers will find this book a helpful guide and valuable source of information about python programming. WHAT WILL YOU LEARN Python Data Types, Input Output Operators and Expressions Control Structures Python Functions, Modules Exception Handling File Management, Classes and Objects Inheritance, Python Operator Overloading Ê WHO THIS BOOK IS FOR Students, Programmers, researchers, and software developers who wish to learn the basics of Python programming language. Ê Table of Contents 1. Introduction to Python Language 2. Python Data Types and Input Output 3. Operators and Expressions 4. Control Structures 5. Python Native Data Types 6. Python Functions 7. Python Modules 8. Exception Handling 9. File Management in Python 10. Classes and Objects 11. Inheritance 12. Python Operator Overloading

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Learning to Listen, Listening to Learn

What accounts for the variety of music witnessed across the world? The answer lies in the psychological mechanisms of cultural evolution that combine a creative process of composing ever new forms of music and a perceptual process of learning to appreciate listening to them. This book develops and tests a theory of the psychological mechanisms that enable listeners to learn the structure of their culturally-situated musical environments so as to be able to perceive and appreciate music. The central hypothesis is that music perception depends critically on mechanisms of statistical learning and probabilistic prediction. These mechanisms are implemented in a computational model whose behaviour is analysed in detail through simulations of psychological experiments. The results demonstrate that the model can account for predictions generated by listeners for the pitch, timing and harmonies of music. While prediction is an important psychological mechanism in and of itself, the evidence presented shows how it also lays the foundation for a broader account of music perception, encompassing memory, auditory scene analysis, similarity perception, complexity perception, affect and aesthetic experience. The proposed theory makes concrete predictions for differences in perception between listeners from different cultures and the developmental trajectories that result in these differences. These predictions are tested and corroborated with respect to both the incidental cultural experience of non-musicians and the formal cultural training of musicians. Because the approach rests fundamentally on mechanisms of statistical learning, it generalises naturally to other cultural domains including natural language, visual media and dance.